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Dept: Computer Science

You searched for subject:(resource allocation). Showing records 1 – 27 of 27 total matches.

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Oregon State University

1. NoroozOliaee, MohammadJavad. Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks.

Degree: PhD, Computer Science, 2015, Oregon State University

 The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing… (more)

Subjects/Keywords: Dynamic Spectrum Access; Resource allocation

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APA (6th Edition):

NoroozOliaee, M. (2015). Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/57115

Chicago Manual of Style (16th Edition):

NoroozOliaee, MohammadJavad. “Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks.” 2015. Doctoral Dissertation, Oregon State University. Accessed July 19, 2019. http://hdl.handle.net/1957/57115.

MLA Handbook (7th Edition):

NoroozOliaee, MohammadJavad. “Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks.” 2015. Web. 19 Jul 2019.

Vancouver:

NoroozOliaee M. Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1957/57115.

Council of Science Editors:

NoroozOliaee M. Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57115


Jawaharlal Nehru University

2. Khanbary, Lutfi Mohammed Omer. Design and analysis of resource allocation models in mobile computing; -.

Degree: Computer Science, 2009, Jawaharlal Nehru University

The combination of wireless communication infrastructure and portable computing newlinedevices has laid the foundation for a new network computing paradigm, called mobile newlinecomputing, which allows… (more)

Subjects/Keywords: Computer Science; System Science; resource allocation models; mobile computing

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APA (6th Edition):

Khanbary, L. M. O. (2009). Design and analysis of resource allocation models in mobile computing; -. (Thesis). Jawaharlal Nehru University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/14634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khanbary, Lutfi Mohammed Omer. “Design and analysis of resource allocation models in mobile computing; -.” 2009. Thesis, Jawaharlal Nehru University. Accessed July 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/14634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khanbary, Lutfi Mohammed Omer. “Design and analysis of resource allocation models in mobile computing; -.” 2009. Web. 19 Jul 2019.

Vancouver:

Khanbary LMO. Design and analysis of resource allocation models in mobile computing; -. [Internet] [Thesis]. Jawaharlal Nehru University; 2009. [cited 2019 Jul 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/14634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khanbary LMO. Design and analysis of resource allocation models in mobile computing; -. [Thesis]. Jawaharlal Nehru University; 2009. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/14634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Oklahoma State University

3. Khethavath, Praveen. Towards an Efficient Distributed Cloud Architecture.

Degree: Computer Science, 2014, Oklahoma State University

 Cloud computing is an emerging field in computer science. Users are utilizing less of their own existing resources, while increasing usage of cloud resources. There… (more)

Subjects/Keywords: cloud computing; dht; distributed cloud; game theory; mobile payments; resource allocation

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APA (6th Edition):

Khethavath, P. (2014). Towards an Efficient Distributed Cloud Architecture. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/14934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khethavath, Praveen. “Towards an Efficient Distributed Cloud Architecture.” 2014. Thesis, Oklahoma State University. Accessed July 19, 2019. http://hdl.handle.net/11244/14934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khethavath, Praveen. “Towards an Efficient Distributed Cloud Architecture.” 2014. Web. 19 Jul 2019.

Vancouver:

Khethavath P. Towards an Efficient Distributed Cloud Architecture. [Internet] [Thesis]. Oklahoma State University; 2014. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/11244/14934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khethavath P. Towards an Efficient Distributed Cloud Architecture. [Thesis]. Oklahoma State University; 2014. Available from: http://hdl.handle.net/11244/14934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. An, Bo. Automated Negotiation for Complex Multi-Agent Resource Allocation.

Degree: PhD, Computer Science, 2011, U of Massachusetts : PhD

  The problem of constructing and analyzing systems of intelligent, autonomous agents is becoming more and more important. These agents may include people, physical robots,… (more)

Subjects/Keywords: Automated Negotiation; Bargaining; Multi-Agent Systems; Resource Allocation; Computer Sciences

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APA (6th Edition):

An, B. (2011). Automated Negotiation for Complex Multi-Agent Resource Allocation. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/329

Chicago Manual of Style (16th Edition):

An, Bo. “Automated Negotiation for Complex Multi-Agent Resource Allocation.” 2011. Doctoral Dissertation, U of Massachusetts : PhD. Accessed July 19, 2019. https://scholarworks.umass.edu/open_access_dissertations/329.

MLA Handbook (7th Edition):

An, Bo. “Automated Negotiation for Complex Multi-Agent Resource Allocation.” 2011. Web. 19 Jul 2019.

Vancouver:

An B. Automated Negotiation for Complex Multi-Agent Resource Allocation. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2011. [cited 2019 Jul 19]. Available from: https://scholarworks.umass.edu/open_access_dissertations/329.

Council of Science Editors:

An B. Automated Negotiation for Complex Multi-Agent Resource Allocation. [Doctoral Dissertation]. U of Massachusetts : PhD; 2011. Available from: https://scholarworks.umass.edu/open_access_dissertations/329


University of Illinois – Urbana-Champaign

5. Jalaparti, Virajith. Improving the end-to-end latency of datacenter applications using coordination across application components.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 To handle millions of user requests every second and process hundreds of terabytes of data each day, many organizations have turned to large datacenter-scale computing… (more)

Subjects/Keywords: Datacenter applications; Resource allocation; Cluster schedulers; Cross-layer optimization; Joint data and compute placement; MapReduce; Interactive services; Tail latency; Resource Malleability

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APA (6th Edition):

Jalaparti, V. (2015). Improving the end-to-end latency of datacenter applications using coordination across application components. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88034

Chicago Manual of Style (16th Edition):

Jalaparti, Virajith. “Improving the end-to-end latency of datacenter applications using coordination across application components.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 19, 2019. http://hdl.handle.net/2142/88034.

MLA Handbook (7th Edition):

Jalaparti, Virajith. “Improving the end-to-end latency of datacenter applications using coordination across application components.” 2015. Web. 19 Jul 2019.

Vancouver:

Jalaparti V. Improving the end-to-end latency of datacenter applications using coordination across application components. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/2142/88034.

Council of Science Editors:

Jalaparti V. Improving the end-to-end latency of datacenter applications using coordination across application components. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88034


North Carolina State University

6. Castillo, Claris. On the Design of Efficient Resource Allocation Mechanisms for Grids.

Degree: PhD, Computer Science, 2008, North Carolina State University

 In this thesis we consider the problem of providing QoS guarantees to Grid users through advance reservation. Advance reservation mechanisms provide the ability to allocate… (more)

Subjects/Keywords: grids; resource allocation; advance reservations; QoS

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APA (6th Edition):

Castillo, C. (2008). On the Design of Efficient Resource Allocation Mechanisms for Grids. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5284

Chicago Manual of Style (16th Edition):

Castillo, Claris. “On the Design of Efficient Resource Allocation Mechanisms for Grids.” 2008. Doctoral Dissertation, North Carolina State University. Accessed July 19, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5284.

MLA Handbook (7th Edition):

Castillo, Claris. “On the Design of Efficient Resource Allocation Mechanisms for Grids.” 2008. Web. 19 Jul 2019.

Vancouver:

Castillo C. On the Design of Efficient Resource Allocation Mechanisms for Grids. [Internet] [Doctoral dissertation]. North Carolina State University; 2008. [cited 2019 Jul 19]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5284.

Council of Science Editors:

Castillo C. On the Design of Efficient Resource Allocation Mechanisms for Grids. [Doctoral Dissertation]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5284


Portland State University

7. Yiu, Candy. High Speed Wireless Networking for 60GHz.

Degree: PhD, Computer Science, 2011, Portland State University

  This thesis examines the problem of providing high data-rate wireless connectivity to users in indoor environments. The goal is to be able to reach… (more)

Subjects/Keywords: Smart antenna; 60GHz; Resource allocation; Wireless communication systems  – Design and construction; Wireless communication systems  – Management; Adaptive antennas; Beamforming

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APA (6th Edition):

Yiu, C. (2011). High Speed Wireless Networking for 60GHz. (Doctoral Dissertation). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/373

Chicago Manual of Style (16th Edition):

Yiu, Candy. “High Speed Wireless Networking for 60GHz.” 2011. Doctoral Dissertation, Portland State University. Accessed July 19, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/373.

MLA Handbook (7th Edition):

Yiu, Candy. “High Speed Wireless Networking for 60GHz.” 2011. Web. 19 Jul 2019.

Vancouver:

Yiu C. High Speed Wireless Networking for 60GHz. [Internet] [Doctoral dissertation]. Portland State University; 2011. [cited 2019 Jul 19]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/373.

Council of Science Editors:

Yiu C. High Speed Wireless Networking for 60GHz. [Doctoral Dissertation]. Portland State University; 2011. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/373


Virginia Tech

8. Steele, Robert Joshua. Determining Communications Resource Feasibility in a Tactical Communications Network.

Degree: MS, Computer Science, 2002, Virginia Tech

 In this paper, we present solutions concerning communications resource allocation for tactical communication networking. Given a mission definition (which defines communication needs among participants) and… (more)

Subjects/Keywords: decision support systems; communications resource allocation; feasibility; tactical networks

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APA (6th Edition):

Steele, R. J. (2002). Determining Communications Resource Feasibility in a Tactical Communications Network. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32418

Chicago Manual of Style (16th Edition):

Steele, Robert Joshua. “Determining Communications Resource Feasibility in a Tactical Communications Network.” 2002. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/32418.

MLA Handbook (7th Edition):

Steele, Robert Joshua. “Determining Communications Resource Feasibility in a Tactical Communications Network.” 2002. Web. 19 Jul 2019.

Vancouver:

Steele RJ. Determining Communications Resource Feasibility in a Tactical Communications Network. [Internet] [Masters thesis]. Virginia Tech; 2002. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/32418.

Council of Science Editors:

Steele RJ. Determining Communications Resource Feasibility in a Tactical Communications Network. [Masters Thesis]. Virginia Tech; 2002. Available from: http://hdl.handle.net/10919/32418


Vanderbilt University

9. Roy, Nilabja. QoS assurance and control of large scale distributed component based systems.

Degree: PhD, Computer Science, 2010, Vanderbilt University

 Large scale distributed component based applications provide a number of different services to its clients. Such applications normally serve huge number of concurrent clients and… (more)

Subjects/Keywords: queuing models; component based systems; analytical model; simulation model; performance engineering; Resource allocation; colored petri net; lookahead control; workload modeling

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APA (6th Edition):

Roy, N. (2010). QoS assurance and control of large scale distributed component based systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;

Chicago Manual of Style (16th Edition):

Roy, Nilabja. “QoS assurance and control of large scale distributed component based systems.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed July 19, 2019. http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;.

MLA Handbook (7th Edition):

Roy, Nilabja. “QoS assurance and control of large scale distributed component based systems.” 2010. Web. 19 Jul 2019.

Vancouver:

Roy N. QoS assurance and control of large scale distributed component based systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2019 Jul 19]. Available from: http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;.

Council of Science Editors:

Roy N. QoS assurance and control of large scale distributed component based systems. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;


San Jose State University

10. Agrawal, Paridhi. Predictive Analysis for Cloud Infrastructure Metrics.

Degree: MS, Computer Science, 2019, San Jose State University

  In a cloud computing environment, enterprises have the flexibility to request resources according to their application demands. This elastic feature of cloud computing makes… (more)

Subjects/Keywords: Cloud computing; time-series analytics; resource allocation; Artificial Intelligence and Robotics; Databases and Information Systems; OS and Networks

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APA (6th Edition):

Agrawal, P. (2019). Predictive Analysis for Cloud Infrastructure Metrics. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/672

Chicago Manual of Style (16th Edition):

Agrawal, Paridhi. “Predictive Analysis for Cloud Infrastructure Metrics.” 2019. Masters Thesis, San Jose State University. Accessed July 19, 2019. https://scholarworks.sjsu.edu/etd_projects/672.

MLA Handbook (7th Edition):

Agrawal, Paridhi. “Predictive Analysis for Cloud Infrastructure Metrics.” 2019. Web. 19 Jul 2019.

Vancouver:

Agrawal P. Predictive Analysis for Cloud Infrastructure Metrics. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Jul 19]. Available from: https://scholarworks.sjsu.edu/etd_projects/672.

Council of Science Editors:

Agrawal P. Predictive Analysis for Cloud Infrastructure Metrics. [Masters Thesis]. San Jose State University; 2019. Available from: https://scholarworks.sjsu.edu/etd_projects/672


Wayne State University

11. Dewan, Farhana. Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems.

Degree: PhD, Computer Science, 2014, Wayne State University

  Compositional real-time research has become one of the emerging trends in embedded and real-time systems due to the increasing scale and complexity of such… (more)

Subjects/Keywords: Admission Control; Approximation Algorithm; Compositional Real-Time Systems; Real-Time Interface; Resource Allocation; Slack Reclamation; Computer Sciences

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APA (6th Edition):

Dewan, F. (2014). Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/880

Chicago Manual of Style (16th Edition):

Dewan, Farhana. “Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems.” 2014. Doctoral Dissertation, Wayne State University. Accessed July 19, 2019. https://digitalcommons.wayne.edu/oa_dissertations/880.

MLA Handbook (7th Edition):

Dewan, Farhana. “Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems.” 2014. Web. 19 Jul 2019.

Vancouver:

Dewan F. Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems. [Internet] [Doctoral dissertation]. Wayne State University; 2014. [cited 2019 Jul 19]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/880.

Council of Science Editors:

Dewan F. Efficient Allocation And Enforcement Of Interfaces In Compositional Real-Time Systems. [Doctoral Dissertation]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_dissertations/880

12. Gupta, Vishal. System abstractions for resource scaling on heterogeneous platforms.

Degree: PhD, Computer Science, 2013, Georgia Tech

 The increasingly diverse nature of modern applications makes it critical for future systems to have dynamic resource scaling capabilities which enable them to adapt their… (more)

Subjects/Keywords: Resource scaling; Heterogeneous platforms; Cloud elasticity; Heterogeneous computing; Resource allocation

…for intelligent and efficient allocation. To this end, it provides a scalable resource… …flexibility of resource allocation but not overloading the applications with complexity. The… …manager to perform heterogeneity-aware resource allocation. Thus, differences due to component… …provides a way for each application to guide resource allocation to suit its own needs by using a… …Performance-driven Policy . . . . . . . . . . . . . . . . . . . 74 HETEROVISOR: ELASTIC RESOURCE… 

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APA (6th Edition):

Gupta, V. (2013). System abstractions for resource scaling on heterogeneous platforms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50348

Chicago Manual of Style (16th Edition):

Gupta, Vishal. “System abstractions for resource scaling on heterogeneous platforms.” 2013. Doctoral Dissertation, Georgia Tech. Accessed July 19, 2019. http://hdl.handle.net/1853/50348.

MLA Handbook (7th Edition):

Gupta, Vishal. “System abstractions for resource scaling on heterogeneous platforms.” 2013. Web. 19 Jul 2019.

Vancouver:

Gupta V. System abstractions for resource scaling on heterogeneous platforms. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1853/50348.

Council of Science Editors:

Gupta V. System abstractions for resource scaling on heterogeneous platforms. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50348

13. Tembey, Priyanka. Virtual platforms: achieving performance and isolation properties on shared multicore servers.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Multicore servers in datacenter systems are routinely used to run multiple disparate application workload mixes. Analysis performed in Google's datacenters show, for instance, components (i.e.,… (more)

Subjects/Keywords: Hypervisors; Resource allocation; Virtual computer systems; Electronic data processing Distributed processing; Resource allocation

…for Virtual Platforms enabled hypervisors. Current resource allocation for data center nodes… …applications. Resource allocation should consider cost- and- hurt- related metrics to improve both… …results that demonstrate utility of Virtual Platforms and Merlin resource allocation in… …32 2 Platform Efficiency (PE) and other metrics for each allocation policy… …model capturing possible interference at shared resource points: Cache, MC, IC… 

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APA (6th Edition):

Tembey, P. (2013). Virtual platforms: achieving performance and isolation properties on shared multicore servers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50359

Chicago Manual of Style (16th Edition):

Tembey, Priyanka. “Virtual platforms: achieving performance and isolation properties on shared multicore servers.” 2013. Doctoral Dissertation, Georgia Tech. Accessed July 19, 2019. http://hdl.handle.net/1853/50359.

MLA Handbook (7th Edition):

Tembey, Priyanka. “Virtual platforms: achieving performance and isolation properties on shared multicore servers.” 2013. Web. 19 Jul 2019.

Vancouver:

Tembey P. Virtual platforms: achieving performance and isolation properties on shared multicore servers. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1853/50359.

Council of Science Editors:

Tembey P. Virtual platforms: achieving performance and isolation properties on shared multicore servers. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50359

14. Arslan, Mustafa Yasir. Resource Allocation Techniques to Improve the Performance of Wireless Networks.

Degree: Computer Science, 2012, University of California – Riverside

 Wireless networks are increasingly becoming important in enabling convenient Internet accessfor users. Many users have WiFi networks in their homes and have access to cellular… (more)

Subjects/Keywords: Computer science; Beamforming; Distributed Computing; Interference; Resource Allocation; Wireless

…communication performance. In this dissertation, we first present resource allocation techniques that… …multiple access points in the spectrum. agement, we also present resource allocation techniques… …resource allocation 8 . A distinguishing feature of iBUS is its practicality; our 7 This is… …femtocells and propose design guidelines that help in building resource management solutions to… …alleviate interference. We observe that resource management solutions for OFDMA femtocells need to… 

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APA (6th Edition):

Arslan, M. Y. (2012). Resource Allocation Techniques to Improve the Performance of Wireless Networks. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/41f040s6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arslan, Mustafa Yasir. “Resource Allocation Techniques to Improve the Performance of Wireless Networks.” 2012. Thesis, University of California – Riverside. Accessed July 19, 2019. http://www.escholarship.org/uc/item/41f040s6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arslan, Mustafa Yasir. “Resource Allocation Techniques to Improve the Performance of Wireless Networks.” 2012. Web. 19 Jul 2019.

Vancouver:

Arslan MY. Resource Allocation Techniques to Improve the Performance of Wireless Networks. [Internet] [Thesis]. University of California – Riverside; 2012. [cited 2019 Jul 19]. Available from: http://www.escholarship.org/uc/item/41f040s6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arslan MY. Resource Allocation Techniques to Improve the Performance of Wireless Networks. [Thesis]. University of California – Riverside; 2012. Available from: http://www.escholarship.org/uc/item/41f040s6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan State University

15. Ding, Yong. Resource allocation and routing in multi-hop wireless networks.

Degree: PhD, Computer Science, 2010, Michigan State University

Subjects/Keywords: Resource allocation; Routing (Computer network management); Wireless communication systems; Computer network protocols

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APA (6th Edition):

Ding, Y. (2010). Resource allocation and routing in multi-hop wireless networks. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:17474

Chicago Manual of Style (16th Edition):

Ding, Yong. “Resource allocation and routing in multi-hop wireless networks.” 2010. Doctoral Dissertation, Michigan State University. Accessed July 19, 2019. http://etd.lib.msu.edu/islandora/object/etd:17474.

MLA Handbook (7th Edition):

Ding, Yong. “Resource allocation and routing in multi-hop wireless networks.” 2010. Web. 19 Jul 2019.

Vancouver:

Ding Y. Resource allocation and routing in multi-hop wireless networks. [Internet] [Doctoral dissertation]. Michigan State University; 2010. [cited 2019 Jul 19]. Available from: http://etd.lib.msu.edu/islandora/object/etd:17474.

Council of Science Editors:

Ding Y. Resource allocation and routing in multi-hop wireless networks. [Doctoral Dissertation]. Michigan State University; 2010. Available from: http://etd.lib.msu.edu/islandora/object/etd:17474


University of Windsor

16. Zou, Yu. The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation.

Degree: MS, Computer Science, 2007, University of Windsor

Subjects/Keywords: ADAPTIVE; ALLOCATION; DATA; EXTENSIBLE; INFRASTRUCTURE; MANAGEMENT; PARTICLE; RESOURCE; RUNTIME; SIMULATIONS; SPACE

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APA (6th Edition):

Zou, Y. (2007). The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7010

Chicago Manual of Style (16th Edition):

Zou, Yu. “The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation.” 2007. Masters Thesis, University of Windsor. Accessed July 19, 2019. https://scholar.uwindsor.ca/etd/7010.

MLA Handbook (7th Edition):

Zou, Yu. “The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation.” 2007. Web. 19 Jul 2019.

Vancouver:

Zou Y. The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation. [Internet] [Masters thesis]. University of Windsor; 2007. [cited 2019 Jul 19]. Available from: https://scholar.uwindsor.ca/etd/7010.

Council of Science Editors:

Zou Y. The extensible runtime infrastructure for particle simulations with data-space management and adaptive resource allocation. [Masters Thesis]. University of Windsor; 2007. Available from: https://scholar.uwindsor.ca/etd/7010

17. Fang, Xi. Optimization for Resource-Constrained Wireless Networks.

Degree: PhD, Computer Science, 2013, Arizona State University

 Nowadays, wireless communications and networks have been widely used in our daily lives. One of the most important topics related to networking research is using… (more)

Subjects/Keywords: Computer science; Algorithm; Optimization; Resource allocation; Wireless networks

…59 Distributed Resource Allocation Algorithm . . . . . . . . . . . . . 63 3.5.1… …entity load constraints on network resource allocation and routing computation. Most existing… …account the impact of interference and MAC layer resource allocation, which led to a few… …have been developed to solve routing and related resource allocation problems in multihop… …foundation for many networking optimization problems. 2. We formulate the resource allocation… 

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APA (6th Edition):

Fang, X. (2013). Optimization for Resource-Constrained Wireless Networks. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/16432

Chicago Manual of Style (16th Edition):

Fang, Xi. “Optimization for Resource-Constrained Wireless Networks.” 2013. Doctoral Dissertation, Arizona State University. Accessed July 19, 2019. http://repository.asu.edu/items/16432.

MLA Handbook (7th Edition):

Fang, Xi. “Optimization for Resource-Constrained Wireless Networks.” 2013. Web. 19 Jul 2019.

Vancouver:

Fang X. Optimization for Resource-Constrained Wireless Networks. [Internet] [Doctoral dissertation]. Arizona State University; 2013. [cited 2019 Jul 19]. Available from: http://repository.asu.edu/items/16432.

Council of Science Editors:

Fang X. Optimization for Resource-Constrained Wireless Networks. [Doctoral Dissertation]. Arizona State University; 2013. Available from: http://repository.asu.edu/items/16432

18. Shirazipourazad, Shahrzad. Resource Allocation in Communication and Social Networks.

Degree: PhD, Computer Science, 2014, Arizona State University

 As networks are playing an increasingly prominent role in different aspects of our lives, there is a growing awareness that improving their performance is of… (more)

Subjects/Keywords: Computer science; Communication Networks; Networks; Optimization; Resource Allocation; Social Networks

…and studies resource allocation problems in these networks. The studies on communication… …wavelength, super-wavelength resource allocation and multiple rate data traffic that results in… …resource allocation. In SLICE architecture, in order to minimize utilized spectrum, one has to… …83 4 ROUTING AND SPECTRUM ALLOCATION IN SPECTRUM SLICED OPTICAL NETWORKS… …Allocation Problem . . . . . . . . . . . . . . . 97 4.5.1 RSA Problem in Chains (RSA-P)… 

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APA (6th Edition):

Shirazipourazad, S. (2014). Resource Allocation in Communication and Social Networks. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/24843

Chicago Manual of Style (16th Edition):

Shirazipourazad, Shahrzad. “Resource Allocation in Communication and Social Networks.” 2014. Doctoral Dissertation, Arizona State University. Accessed July 19, 2019. http://repository.asu.edu/items/24843.

MLA Handbook (7th Edition):

Shirazipourazad, Shahrzad. “Resource Allocation in Communication and Social Networks.” 2014. Web. 19 Jul 2019.

Vancouver:

Shirazipourazad S. Resource Allocation in Communication and Social Networks. [Internet] [Doctoral dissertation]. Arizona State University; 2014. [cited 2019 Jul 19]. Available from: http://repository.asu.edu/items/24843.

Council of Science Editors:

Shirazipourazad S. Resource Allocation in Communication and Social Networks. [Doctoral Dissertation]. Arizona State University; 2014. Available from: http://repository.asu.edu/items/24843

19. Hu, Xinhui. Economical Aspects of Resource Allocation under Discounts.

Degree: Computer Science, 2015, Arizona State University

Subjects/Keywords: Computer science; Cloud; Online algorithm; Optimal algorithm; Resource allocation

…issue by addressing economical aspects of resource allocation , namely we consider in broad… …cost. The first research topic studied in this thesis is resource allocation in cloud… …today’s clouds. This motivates us to explore virtual network resource allocation problems in… …previous works for resource allocation focus on migration or resource embedding in the networks… …In this thesis, we attend to the economical aspects of the resource allocation, i.e., cost… 

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APA (6th Edition):

Hu, X. (2015). Economical Aspects of Resource Allocation under Discounts. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/28553

Chicago Manual of Style (16th Edition):

Hu, Xinhui. “Economical Aspects of Resource Allocation under Discounts.” 2015. Doctoral Dissertation, Arizona State University. Accessed July 19, 2019. http://repository.asu.edu/items/28553.

MLA Handbook (7th Edition):

Hu, Xinhui. “Economical Aspects of Resource Allocation under Discounts.” 2015. Web. 19 Jul 2019.

Vancouver:

Hu X. Economical Aspects of Resource Allocation under Discounts. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2019 Jul 19]. Available from: http://repository.asu.edu/items/28553.

Council of Science Editors:

Hu X. Economical Aspects of Resource Allocation under Discounts. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/28553

20. An, Hogeun. Confidentiality Protection of User Data and Adaptive Resource Allocation for Managing Multiple Workflow Performance in Service-based Systems.

Degree: PhD, Computer Science, 2012, Arizona State University

 In this dissertation, two interrelated problems of service-based systems (SBS) are addressed: protecting users' data confidentiality from service providers, and managing performance of multiple workflows… (more)

Subjects/Keywords: Computer science; Information technology; Confidentiality; Information Assurance; Resource Allocation

…65 10. Conceptual View of Dynamic Adaptive Resource Allocation for SBS ....... 81 11… …85 12. A SBS Demonstration System for Resource Allocation Approach .............. 91 13… …and estimating system performance features, and adapting its resource allocation to satisfy… …challenges need to be addressed for adaptive resource allocation in runtime in a SBS: C1)… …in runtime whether a resource allocation will satisfy the performance requirements of… 

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APA (6th Edition):

An, H. (2012). Confidentiality Protection of User Data and Adaptive Resource Allocation for Managing Multiple Workflow Performance in Service-based Systems. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/15010

Chicago Manual of Style (16th Edition):

An, Hogeun. “Confidentiality Protection of User Data and Adaptive Resource Allocation for Managing Multiple Workflow Performance in Service-based Systems.” 2012. Doctoral Dissertation, Arizona State University. Accessed July 19, 2019. http://repository.asu.edu/items/15010.

MLA Handbook (7th Edition):

An, Hogeun. “Confidentiality Protection of User Data and Adaptive Resource Allocation for Managing Multiple Workflow Performance in Service-based Systems.” 2012. Web. 19 Jul 2019.

Vancouver:

An H. Confidentiality Protection of User Data and Adaptive Resource Allocation for Managing Multiple Workflow Performance in Service-based Systems. [Internet] [Doctoral dissertation]. Arizona State University; 2012. [cited 2019 Jul 19]. Available from: http://repository.asu.edu/items/15010.

Council of Science Editors:

An H. Confidentiality Protection of User Data and Adaptive Resource Allocation for Managing Multiple Workflow Performance in Service-based Systems. [Doctoral Dissertation]. Arizona State University; 2012. Available from: http://repository.asu.edu/items/15010

21. Amin, Rahul. Towards Viable Large Scale Heterogeneous Wireless Networks.

Degree: PhD, Computer Science, 2013, Clemson University

  We explore radio resource allocation and management issues related to a large-scale heterogeneous (hetnet) wireless system made up of several Radio Access Technologies (RATs)… (more)

Subjects/Keywords: Heterogeneous Wireless Networks; Network Efficiency; Next Generation Wireless Networks; Reconfigurable Radios; Resource Allocation; Scheduling; Engineering

…57 4.3.1 Optimization-based Resource Allocation Algorithm........ 62 4.3.2 Optimization… …Greedy Sort-based Resource Allocation Algorithms ........ 89 5.3.2 Greedy Sort-based Algorithm… …Greedy Sort-based Resource Allocation Algorithms Pseudo-code ........... 124 Air-Time Usage… …20 3.2 Resource allocation procedure… …wireless networks. Localized resource allocation decisions will usually not lead to optimal… 

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APA (6th Edition):

Amin, R. (2013). Towards Viable Large Scale Heterogeneous Wireless Networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1192

Chicago Manual of Style (16th Edition):

Amin, Rahul. “Towards Viable Large Scale Heterogeneous Wireless Networks.” 2013. Doctoral Dissertation, Clemson University. Accessed July 19, 2019. https://tigerprints.clemson.edu/all_dissertations/1192.

MLA Handbook (7th Edition):

Amin, Rahul. “Towards Viable Large Scale Heterogeneous Wireless Networks.” 2013. Web. 19 Jul 2019.

Vancouver:

Amin R. Towards Viable Large Scale Heterogeneous Wireless Networks. [Internet] [Doctoral dissertation]. Clemson University; 2013. [cited 2019 Jul 19]. Available from: https://tigerprints.clemson.edu/all_dissertations/1192.

Council of Science Editors:

Amin R. Towards Viable Large Scale Heterogeneous Wireless Networks. [Doctoral Dissertation]. Clemson University; 2013. Available from: https://tigerprints.clemson.edu/all_dissertations/1192


Virginia Tech

22. Korah, John. Issues of Real Time Information Retrieval in Large, Dynamic and Heterogeneous Search Spaces.

Degree: PhD, Computer Science, 2009, Virginia Tech

 Increasing size and prevalence of real time information have become important characteristics of databases found on the internet. Due to changing information, the relevancy ranking… (more)

Subjects/Keywords: Real time Information Retrieval; Large and Dynamic Search; Anytime Image Retrieval; Multiagent Resource Allocation Framework; Performance Analysis

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APA (6th Edition):

Korah, J. (2009). Issues of Real Time Information Retrieval in Large, Dynamic and Heterogeneous Search Spaces. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26253

Chicago Manual of Style (16th Edition):

Korah, John. “Issues of Real Time Information Retrieval in Large, Dynamic and Heterogeneous Search Spaces.” 2009. Doctoral Dissertation, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/26253.

MLA Handbook (7th Edition):

Korah, John. “Issues of Real Time Information Retrieval in Large, Dynamic and Heterogeneous Search Spaces.” 2009. Web. 19 Jul 2019.

Vancouver:

Korah J. Issues of Real Time Information Retrieval in Large, Dynamic and Heterogeneous Search Spaces. [Internet] [Doctoral dissertation]. Virginia Tech; 2009. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/26253.

Council of Science Editors:

Korah J. Issues of Real Time Information Retrieval in Large, Dynamic and Heterogeneous Search Spaces. [Doctoral Dissertation]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/26253

23. Banerjee, Sujogya. Design, Analysis and Resource Allocations in Networks In Presence of Region-Based Faults.

Degree: PhD, Computer Science, 2013, Arizona State University

 Communication networks, both wired and wireless, are expected to have a certain level of fault-tolerance capability.These networks are also expected to ensure a graceful degradation… (more)

Subjects/Keywords: Computer science; Analysis; Design; Fault-tolerance; Networks; Region-based faults; Resource allocation

…based faults. Secondly, this thesis considers two problems of efficient resource allocation in… …resource efficient resource allocation in networks. So design and analysis of communication… …section discusses network designing and resource allocation problems in wireless networks… …13 1.3.4 Resource Allocation problem in Data Centers in presence of Region-based Faults… …used and the problem of revenue maximization in fault-tolerant resource allocation in large… 

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APA (6th Edition):

Banerjee, S. (2013). Design, Analysis and Resource Allocations in Networks In Presence of Region-Based Faults. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/16434

Chicago Manual of Style (16th Edition):

Banerjee, Sujogya. “Design, Analysis and Resource Allocations in Networks In Presence of Region-Based Faults.” 2013. Doctoral Dissertation, Arizona State University. Accessed July 19, 2019. http://repository.asu.edu/items/16434.

MLA Handbook (7th Edition):

Banerjee, Sujogya. “Design, Analysis and Resource Allocations in Networks In Presence of Region-Based Faults.” 2013. Web. 19 Jul 2019.

Vancouver:

Banerjee S. Design, Analysis and Resource Allocations in Networks In Presence of Region-Based Faults. [Internet] [Doctoral dissertation]. Arizona State University; 2013. [cited 2019 Jul 19]. Available from: http://repository.asu.edu/items/16434.

Council of Science Editors:

Banerjee S. Design, Analysis and Resource Allocations in Networks In Presence of Region-Based Faults. [Doctoral Dissertation]. Arizona State University; 2013. Available from: http://repository.asu.edu/items/16434


Texas State University – San Marcos

24. Penner, Terrence. Bandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies.

Degree: MS, Computer Science, 2016, Texas State University – San Marcos

 The cloud is a very popular field in both business and computing right now, with many companies starting to move their data and operations into… (more)

Subjects/Keywords: Cloud; Security; Defense; Multi-armed bandit; Moving target defense; OpenStack; Resource allocation – Mathematical models; Cloud computing – Security measures; Information technology-Security measures; Data protection; Computer networks-Security measures; Internet-Security measures

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APA (6th Edition):

Penner, T. (2016). Bandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6115

Chicago Manual of Style (16th Edition):

Penner, Terrence. “Bandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed July 19, 2019. https://digital.library.txstate.edu/handle/10877/6115.

MLA Handbook (7th Edition):

Penner, Terrence. “Bandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies.” 2016. Web. 19 Jul 2019.

Vancouver:

Penner T. Bandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2019 Jul 19]. Available from: https://digital.library.txstate.edu/handle/10877/6115.

Council of Science Editors:

Penner T. Bandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6115


Arizona State University

25. Mazumder, Anisha. Optimal Resource Allocation in Social and Critical Infrastructure Networks.

Degree: Computer Science, 2016, Arizona State University

Subjects/Keywords: Computer science; Algorithms; Critical Infrastructure Networks Analysis; NP Completeness Analysis; optimization problems; Resource Allocation problems; Social Networks Analysis

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APA (6th Edition):

Mazumder, A. (2016). Optimal Resource Allocation in Social and Critical Infrastructure Networks. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/40712

Chicago Manual of Style (16th Edition):

Mazumder, Anisha. “Optimal Resource Allocation in Social and Critical Infrastructure Networks.” 2016. Doctoral Dissertation, Arizona State University. Accessed July 19, 2019. http://repository.asu.edu/items/40712.

MLA Handbook (7th Edition):

Mazumder, Anisha. “Optimal Resource Allocation in Social and Critical Infrastructure Networks.” 2016. Web. 19 Jul 2019.

Vancouver:

Mazumder A. Optimal Resource Allocation in Social and Critical Infrastructure Networks. [Internet] [Doctoral dissertation]. Arizona State University; 2016. [cited 2019 Jul 19]. Available from: http://repository.asu.edu/items/40712.

Council of Science Editors:

Mazumder A. Optimal Resource Allocation in Social and Critical Infrastructure Networks. [Doctoral Dissertation]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40712

26. Lai, John Kwang. Truthful and Fair Resource Allocation.

Degree: PhD, Computer Science, 2013, Harvard University

How should we divide a good or set of goods among a set of agents? There are various constraints that we can consider. We consider… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Economic theory; Algorithms; Cake cutting; Combinatorial auctions; Fair division; Mechanism design; Resource allocation

Resource allocation problems arise in all facets of life. Individuals and families decide how to… …fraction of the resource allocation problems that are being considered and solved on a daily… …basis. In addition to looking at resource allocation problems across larger and larger… …crosssections of society, resource allocation problems can also be classified in terms of the… …monetary resources as well as human capital. The main take away is that resource allocation… 

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APA (6th Edition):

Lai, J. K. (2013). Truthful and Fair Resource Allocation. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:11108713

Chicago Manual of Style (16th Edition):

Lai, John Kwang. “Truthful and Fair Resource Allocation.” 2013. Doctoral Dissertation, Harvard University. Accessed July 19, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:11108713.

MLA Handbook (7th Edition):

Lai, John Kwang. “Truthful and Fair Resource Allocation.” 2013. Web. 19 Jul 2019.

Vancouver:

Lai JK. Truthful and Fair Resource Allocation. [Internet] [Doctoral dissertation]. Harvard University; 2013. [cited 2019 Jul 19]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11108713.

Council of Science Editors:

Lai JK. Truthful and Fair Resource Allocation. [Doctoral Dissertation]. Harvard University; 2013. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11108713

27. Langer, Akhil. Parallel algorithms for two-stage stochastic optimization.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 We develop scalable algorithms for two-stage stochastic program optimizations. We propose performance optimizations such as cut-window mechanism in Stage 1 and scenario clustering in Stage… (more)

Subjects/Keywords: Stochastic Optimization; Integer Program Optimization; Benders Decomposition; Lagrangian Decomposition; Parallel Computing; High Performance Computing (HPC); Branch-and-bound; Resource Allocation; Large Scale Optimization; Air Mobility Command; Dynamic Mission Replanning; Aircraft Allocation; Itinerary Selection; Military Airlift Planning

…more rational decision for optimal resource allocation. Stochastic optimization algorithms… …resource allocation problems that seek an optimal solution in the first stage, while accounting… …Integer Optimization . . . . . . . . . . . . . . 3.3 Case Study: Military Aircraft Allocation… …Aircraft Allocation Problem . . . . . . . . . . . . . . . . . . . 5.4 Lagrangian Decomposition… …Aircraft Allocation Problem . . . . 5.6 Parallel Design of LDAM and Experimental Setup… 

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APA (6th Edition):

Langer, A. (2015). Parallel algorithms for two-stage stochastic optimization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88050

Chicago Manual of Style (16th Edition):

Langer, Akhil. “Parallel algorithms for two-stage stochastic optimization.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 19, 2019. http://hdl.handle.net/2142/88050.

MLA Handbook (7th Edition):

Langer, Akhil. “Parallel algorithms for two-stage stochastic optimization.” 2015. Web. 19 Jul 2019.

Vancouver:

Langer A. Parallel algorithms for two-stage stochastic optimization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/2142/88050.

Council of Science Editors:

Langer A. Parallel algorithms for two-stage stochastic optimization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88050

.