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You searched for +publisher:"Georgia Tech" +contributor:("Pu, Calton"). Showing records 1 – 30 of 44 total matches.

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Georgia Tech

1. Park, Junhee. Performance scalability of n-tier application in virtualized cloud environments: Two case studies in vertical and horizontal scaling.

Degree: PhD, Computer Science, 2016, Georgia Tech

 The prevalence of multi-core processors with recent advancement in virtualization technologies has enabled horizontal and vertical scaling within a physical node achieving economical sharing of… (more)

Subjects/Keywords: Virtualization; Consolidation; Multi-Core processor; Performance interference; Memory thrashing; Cloud; Scalability; n-Tier; Hypervisor comparison; RUBBoS

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APA (6th Edition):

Park, J. (2016). Performance scalability of n-tier application in virtualized cloud environments: Two case studies in vertical and horizontal scaling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55018

Chicago Manual of Style (16th Edition):

Park, Junhee. “Performance scalability of n-tier application in virtualized cloud environments: Two case studies in vertical and horizontal scaling.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/55018.

MLA Handbook (7th Edition):

Park, Junhee. “Performance scalability of n-tier application in virtualized cloud environments: Two case studies in vertical and horizontal scaling.” 2016. Web. 26 Apr 2019.

Vancouver:

Park J. Performance scalability of n-tier application in virtualized cloud environments: Two case studies in vertical and horizontal scaling. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/55018.

Council of Science Editors:

Park J. Performance scalability of n-tier application in virtualized cloud environments: Two case studies in vertical and horizontal scaling. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55018


Georgia Tech

2. Wang, De. Analysis and detection of low quality information in social networks.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Low quality information such as spam and rumors is a nuisance to people and hinders them from consuming information that is pertinent to them or… (more)

Subjects/Keywords: Low quality information; Social networks; Social spam; Rumors

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APA (6th Edition):

Wang, D. (2014). Analysis and detection of low quality information in social networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53991

Chicago Manual of Style (16th Edition):

Wang, De. “Analysis and detection of low quality information in social networks.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/53991.

MLA Handbook (7th Edition):

Wang, De. “Analysis and detection of low quality information in social networks.” 2014. Web. 26 Apr 2019.

Vancouver:

Wang D. Analysis and detection of low quality information in social networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/53991.

Council of Science Editors:

Wang D. Analysis and detection of low quality information in social networks. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53991


Georgia Tech

3. Tang, Yuzhe. Secure and high-performance big-data systems in the cloud.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Cloud computing and big data technology continue to revolutionize how computing and data analysis are delivered today and in the future. To store and process… (more)

Subjects/Keywords: Cloud; Big-data; Security; Efficiency; Performance; Streaming; Multi-core; Index; Key-value stores; Privacy preserving; Performance optimization; Log-structured systems

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APA (6th Edition):

Tang, Y. (2014). Secure and high-performance big-data systems in the cloud. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53995

Chicago Manual of Style (16th Edition):

Tang, Yuzhe. “Secure and high-performance big-data systems in the cloud.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/53995.

MLA Handbook (7th Edition):

Tang, Yuzhe. “Secure and high-performance big-data systems in the cloud.” 2014. Web. 26 Apr 2019.

Vancouver:

Tang Y. Secure and high-performance big-data systems in the cloud. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/53995.

Council of Science Editors:

Tang Y. Secure and high-performance big-data systems in the cloud. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53995


Georgia Tech

4. Wang, Qingyang. A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications.

Degree: PhD, Computer Science, 2014, Georgia Tech

 An essential requirement of cloud computing or data centers is to simultaneously achieve good performance and high utilization for cost efficiency. High utilization through virtualization… (more)

Subjects/Keywords: Performance; Distributed systems; Long-tail; Multi-tier; Web applications; Scalability; Cloud computing

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APA (6th Edition):

Wang, Q. (2014). A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54002

Chicago Manual of Style (16th Edition):

Wang, Qingyang. “A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/54002.

MLA Handbook (7th Edition):

Wang, Qingyang. “A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications.” 2014. Web. 26 Apr 2019.

Vancouver:

Wang Q. A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/54002.

Council of Science Editors:

Wang Q. A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54002


Georgia Tech

5. Musaev, Aibek. Landslide information service based on composition of physical and social information services.

Degree: PhD, Computer Science, 2016, Georgia Tech

 Modern world data come from an increasing number of sources, including data from physical sources like satellites and seismic sensors as well as social networks… (more)

Subjects/Keywords: Social networks; Event detection; Text classification

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APA (6th Edition):

Musaev, A. (2016). Landslide information service based on composition of physical and social information services. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55572

Chicago Manual of Style (16th Edition):

Musaev, Aibek. “Landslide information service based on composition of physical and social information services.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/55572.

MLA Handbook (7th Edition):

Musaev, Aibek. “Landslide information service based on composition of physical and social information services.” 2016. Web. 26 Apr 2019.

Vancouver:

Musaev A. Landslide information service based on composition of physical and social information services. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/55572.

Council of Science Editors:

Musaev A. Landslide information service based on composition of physical and social information services. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55572


Georgia Tech

6. Li, Jack. Efficient resource sharing for big data applications in shared clusters.

Degree: PhD, Computer Science, 2016, Georgia Tech

 Modern data centers are shifting to shared clusters where the resources are shared among multiple users and frameworks. A key enabler for such shared clusters… (more)

Subjects/Keywords: Shared clusters; Resource management; Cloud; Preemption; Scheduling; Multi-tenancy; Distributed stream processing; Elasticity

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APA (6th Edition):

Li, J. (2016). Efficient resource sharing for big data applications in shared clusters. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55597

Chicago Manual of Style (16th Edition):

Li, Jack. “Efficient resource sharing for big data applications in shared clusters.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/55597.

MLA Handbook (7th Edition):

Li, Jack. “Efficient resource sharing for big data applications in shared clusters.” 2016. Web. 26 Apr 2019.

Vancouver:

Li J. Efficient resource sharing for big data applications in shared clusters. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/55597.

Council of Science Editors:

Li J. Efficient resource sharing for big data applications in shared clusters. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55597


Georgia Tech

7. Koh, Younggyun. Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems.

Degree: PhD, Computing, 2010, Georgia Tech

 Virtualization environments have become basic building blocks in consolidated data centers and cloud computing infrastructures. By running multiple virtual machines (VMs) in a shared physical… (more)

Subjects/Keywords: Computer systems; Virualization technology; Network performance; Virtual computer systems; Operating systems (Computers); Virtual reality

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APA (6th Edition):

Koh, Y. (2010). Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34700

Chicago Manual of Style (16th Edition):

Koh, Younggyun. “Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems.” 2010. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/34700.

MLA Handbook (7th Edition):

Koh, Younggyun. “Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems.” 2010. Web. 26 Apr 2019.

Vancouver:

Koh Y. Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/34700.

Council of Science Editors:

Koh Y. Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34700


Georgia Tech

8. Hilley, David B. Temporal streams: programming abstractions for distributed live stream analysis applications.

Degree: PhD, Computing, 2009, Georgia Tech

 Continuous live stream analysis applications are increasingly common. Video-based surveillance, emergency response, disaster recovery, and critical infrastructure monitoring are all examples of such applications. These… (more)

Subjects/Keywords: Live stream analysis; Streaming; Temporal streams; Distributed systems; Programming model; Distributed data structure; Temporal automata; Streaming technology (Telecommunications)

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APA (6th Edition):

Hilley, D. B. (2009). Temporal streams: programming abstractions for distributed live stream analysis applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31695

Chicago Manual of Style (16th Edition):

Hilley, David B. “Temporal streams: programming abstractions for distributed live stream analysis applications.” 2009. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/31695.

MLA Handbook (7th Edition):

Hilley, David B. “Temporal streams: programming abstractions for distributed live stream analysis applications.” 2009. Web. 26 Apr 2019.

Vancouver:

Hilley DB. Temporal streams: programming abstractions for distributed live stream analysis applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/31695.

Council of Science Editors:

Hilley DB. Temporal streams: programming abstractions for distributed live stream analysis applications. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31695


Georgia Tech

9. Moss, Mark Bomi. Assessing operational impact in enterprise systems with dependency discovery and usage mining.

Degree: PhD, Computing, 2009, Georgia Tech

 A framework for monitoring the dependencies between users, applications, and other system components, combined with the actual access times and frequencies, was proposed. Operating system… (more)

Subjects/Keywords: Impact analysis; Enterprise application integration (Computer systems); Management information systems; Computer system failures; Communication of technical information

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APA (6th Edition):

Moss, M. B. (2009). Assessing operational impact in enterprise systems with dependency discovery and usage mining. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31795

Chicago Manual of Style (16th Edition):

Moss, Mark Bomi. “Assessing operational impact in enterprise systems with dependency discovery and usage mining.” 2009. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/31795.

MLA Handbook (7th Edition):

Moss, Mark Bomi. “Assessing operational impact in enterprise systems with dependency discovery and usage mining.” 2009. Web. 26 Apr 2019.

Vancouver:

Moss MB. Assessing operational impact in enterprise systems with dependency discovery and usage mining. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/31795.

Council of Science Editors:

Moss MB. Assessing operational impact in enterprise systems with dependency discovery and usage mining. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31795


Georgia Tech

10. Wei, Jinpeng. Improving operating systems security: two case studies.

Degree: PhD, Computing, 2009, Georgia Tech

 Malicious attacks on computer systems attempt to obtain and maintain illicit control over the victim system. To obtain unauthorized access, they often exploit vulnerabilities in… (more)

Subjects/Keywords: Control flow integrity; Security and protection; Reliability; File systems management; Operating systems (Computers) Security measures

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APA (6th Edition):

Wei, J. (2009). Improving operating systems security: two case studies. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31849

Chicago Manual of Style (16th Edition):

Wei, Jinpeng. “Improving operating systems security: two case studies.” 2009. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/31849.

MLA Handbook (7th Edition):

Wei, Jinpeng. “Improving operating systems security: two case studies.” 2009. Web. 26 Apr 2019.

Vancouver:

Wei J. Improving operating systems security: two case studies. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/31849.

Council of Science Editors:

Wei J. Improving operating systems security: two case studies. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31849


Georgia Tech

11. Lee, Kisung. Scalable big data systems: Architectures and optimizations.

Degree: PhD, Computer Science, 2015, Georgia Tech

 Big data analytics has become not just a popular buzzword but also a strategic direction in information technology for many enterprises and government organizations. Even… (more)

Subjects/Keywords: Big data; Graph data; Spatial data

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APA (6th Edition):

Lee, K. (2015). Scalable big data systems: Architectures and optimizations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55520

Chicago Manual of Style (16th Edition):

Lee, Kisung. “Scalable big data systems: Architectures and optimizations.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/55520.

MLA Handbook (7th Edition):

Lee, Kisung. “Scalable big data systems: Architectures and optimizations.” 2015. Web. 26 Apr 2019.

Vancouver:

Lee K. Scalable big data systems: Architectures and optimizations. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/55520.

Council of Science Editors:

Lee K. Scalable big data systems: Architectures and optimizations. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55520


Georgia Tech

12. Lai, Chien-An. MilliScope: a fine-grained monitoring framework for performance debugging of N-tier web services.

Degree: PhD, Computer Science, 2017, Georgia Tech

 Modern distributed systems are often considered to be black-boxes that greatly limit the potential to understand behaviors at the level of detail necessary to diagnose… (more)

Subjects/Keywords: Cloud Computing; Distributed System; Fine-grained monitoring

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APA (6th Edition):

Lai, C. (2017). MilliScope: a fine-grained monitoring framework for performance debugging of N-tier web services. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59260

Chicago Manual of Style (16th Edition):

Lai, Chien-An. “MilliScope: a fine-grained monitoring framework for performance debugging of N-tier web services.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/59260.

MLA Handbook (7th Edition):

Lai, Chien-An. “MilliScope: a fine-grained monitoring framework for performance debugging of N-tier web services.” 2017. Web. 26 Apr 2019.

Vancouver:

Lai C. MilliScope: a fine-grained monitoring framework for performance debugging of N-tier web services. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/59260.

Council of Science Editors:

Lai C. MilliScope: a fine-grained monitoring framework for performance debugging of N-tier web services. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59260


Georgia Tech

13. Zhu, Tao. Study of system level millibottlenecks and their impact on N-tier system performance.

Degree: PhD, Computer Science, 2017, Georgia Tech

 The performance of n-tier web-facing applications often suffer from response time long-tail problem. One of the causes of long-tail problem consists of millibottlenecks that appear… (more)

Subjects/Keywords: Distributed systems; Performance analysis

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APA (6th Edition):

Zhu, T. (2017). Study of system level millibottlenecks and their impact on N-tier system performance. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59261

Chicago Manual of Style (16th Edition):

Zhu, Tao. “Study of system level millibottlenecks and their impact on N-tier system performance.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/59261.

MLA Handbook (7th Edition):

Zhu, Tao. “Study of system level millibottlenecks and their impact on N-tier system performance.” 2017. Web. 26 Apr 2019.

Vancouver:

Zhu T. Study of system level millibottlenecks and their impact on N-tier system performance. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/59261.

Council of Science Editors:

Zhu T. Study of system level millibottlenecks and their impact on N-tier system performance. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59261


Georgia Tech

14. Zhou, Yang. Innovative mining, processing, and application of big graphs.

Degree: PhD, Computer Science, 2017, Georgia Tech

 With continued advances in science and technology, big graph (or network) data, such as World Wide Web, social networks, academic collaboration networks, transportation networks, telecommunication… (more)

Subjects/Keywords: Big data; Data mining; Parallel and distributed computing; Machine learning; Databases

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APA (6th Edition):

Zhou, Y. (2017). Innovative mining, processing, and application of big graphs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59173

Chicago Manual of Style (16th Edition):

Zhou, Yang. “Innovative mining, processing, and application of big graphs.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/59173.

MLA Handbook (7th Edition):

Zhou, Yang. “Innovative mining, processing, and application of big graphs.” 2017. Web. 26 Apr 2019.

Vancouver:

Zhou Y. Innovative mining, processing, and application of big graphs. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/59173.

Council of Science Editors:

Zhou Y. Innovative mining, processing, and application of big graphs. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59173


Georgia Tech

15. Zhang, Qi. Dynamic shared memory architecture, systems, and optimizations for high performance and secure virtualized cloud.

Degree: PhD, Computer Science, 2017, Georgia Tech

 Dynamic memory consolidation is an important enabler for high performance virtual machine (VM) execution in virtualized Cloud. Efficient just-in-time memory balancing requires three core capabilities:… (more)

Subjects/Keywords: Virtualization; Memory management; Shared memory

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APA (6th Edition):

Zhang, Q. (2017). Dynamic shared memory architecture, systems, and optimizations for high performance and secure virtualized cloud. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59793

Chicago Manual of Style (16th Edition):

Zhang, Qi. “Dynamic shared memory architecture, systems, and optimizations for high performance and secure virtualized cloud.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/59793.

MLA Handbook (7th Edition):

Zhang, Qi. “Dynamic shared memory architecture, systems, and optimizations for high performance and secure virtualized cloud.” 2017. Web. 26 Apr 2019.

Vancouver:

Zhang Q. Dynamic shared memory architecture, systems, and optimizations for high performance and secure virtualized cloud. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/59793.

Council of Science Editors:

Zhang Q. Dynamic shared memory architecture, systems, and optimizations for high performance and secure virtualized cloud. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59793

16. Kesavan, Mukil. Scalable and robust compute capacity multiplexing in virtualized datacenters.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Multi-tenant cloud computing datacenters run diverse workloads, inside virtual machines (VMs), with time varying resource demands. Compute capacity multiplexing systems dynamically manage the placement of… (more)

Subjects/Keywords: Distributed systems; Virtualization; Resource management; Fault tolerance; Function replication; Benchmarking

…700 server research cluster at Georgia Tech. . . . 64 Replicating actions in space… 

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APA (6th Edition):

Kesavan, M. (2014). Scalable and robust compute capacity multiplexing in virtualized datacenters. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52229

Chicago Manual of Style (16th Edition):

Kesavan, Mukil. “Scalable and robust compute capacity multiplexing in virtualized datacenters.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/52229.

MLA Handbook (7th Edition):

Kesavan, Mukil. “Scalable and robust compute capacity multiplexing in virtualized datacenters.” 2014. Web. 26 Apr 2019.

Vancouver:

Kesavan M. Scalable and robust compute capacity multiplexing in virtualized datacenters. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/52229.

Council of Science Editors:

Kesavan M. Scalable and robust compute capacity multiplexing in virtualized datacenters. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52229

17. Wang, Ting. Data analytics for networked and possibly private sources.

Degree: PhD, Computing, 2011, Georgia Tech

 This thesis focuses on two grand challenges facing data analytical system designers and operators nowadays. First, how to fuse information from multiple autonomous, yet correlated… (more)

Subjects/Keywords: Privacy; Network; Data Analytics; Data mining; Computer networks Monitoring

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APA (6th Edition):

Wang, T. (2011). Data analytics for networked and possibly private sources. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39598

Chicago Manual of Style (16th Edition):

Wang, Ting. “Data analytics for networked and possibly private sources.” 2011. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/39598.

MLA Handbook (7th Edition):

Wang, Ting. “Data analytics for networked and possibly private sources.” 2011. Web. 26 Apr 2019.

Vancouver:

Wang T. Data analytics for networked and possibly private sources. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/39598.

Council of Science Editors:

Wang T. Data analytics for networked and possibly private sources. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39598

18. Pesti, Peter. Novel spatial query processing techniques for scaling location based services.

Degree: PhD, Computing, 2012, Georgia Tech

 Location based services (LBS) are gaining widespread user acceptance and increased daily usage. GPS based mobile navigation systems (Garmin), location-related social network updates and "check-ins"… (more)

Subjects/Keywords: CQ; Range query; Road network; Simulation; Lbs; Location based services; Mobile; Query; Continuous query; Querying (Computer science); Database searching; System design

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APA (6th Edition):

Pesti, P. (2012). Novel spatial query processing techniques for scaling location based services. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45844

Chicago Manual of Style (16th Edition):

Pesti, Peter. “Novel spatial query processing techniques for scaling location based services.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/45844.

MLA Handbook (7th Edition):

Pesti, Peter. “Novel spatial query processing techniques for scaling location based services.” 2012. Web. 26 Apr 2019.

Vancouver:

Pesti P. Novel spatial query processing techniques for scaling location based services. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/45844.

Council of Science Editors:

Pesti P. Novel spatial query processing techniques for scaling location based services. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45844

19. Irani, Danesh. Preventing abuse of online communities.

Degree: PhD, Computing, 2012, Georgia Tech

 Online communities are growing at a phenomenal rate and with the large number of users these communities contain, attackers are drawn to exploit these users.… (more)

Subjects/Keywords: Online privacy; security; social networks; Online social networks; Social media; Computer networks Security measures

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APA (6th Edition):

Irani, D. (2012). Preventing abuse of online communities. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44895

Chicago Manual of Style (16th Edition):

Irani, Danesh. “Preventing abuse of online communities.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/44895.

MLA Handbook (7th Edition):

Irani, Danesh. “Preventing abuse of online communities.” 2012. Web. 26 Apr 2019.

Vancouver:

Irani D. Preventing abuse of online communities. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/44895.

Council of Science Editors:

Irani D. Preventing abuse of online communities. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44895

20. Doo, Myungcheol. Spatial and social diffusion of information and influence: models and algorithms.

Degree: PhD, Computing, 2012, Georgia Tech

 With the ubiquity of broadband, wireless and mobile networking and the diversity of user-driven social networks and social channels, we are entering an information age… (more)

Subjects/Keywords: Information diffusion; Spatial alarms; Indexing; Social influence; Online social networks; Social media

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APA (6th Edition):

Doo, M. (2012). Spatial and social diffusion of information and influence: models and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44740

Chicago Manual of Style (16th Edition):

Doo, Myungcheol. “Spatial and social diffusion of information and influence: models and algorithms.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/44740.

MLA Handbook (7th Edition):

Doo, Myungcheol. “Spatial and social diffusion of information and influence: models and algorithms.” 2012. Web. 26 Apr 2019.

Vancouver:

Doo M. Spatial and social diffusion of information and influence: models and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/44740.

Council of Science Editors:

Doo M. Spatial and social diffusion of information and influence: models and algorithms. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44740

21. Xiong, Pengcheng. Dynamic monitoring, modeling and management of performance and resources for applications in cloud.

Degree: PhD, Computing, 2012, Georgia Tech

 Emerging trends in Cloud computing bring numerous benefits, such as higher performance, fast and flexible provisioning of applications and capacities, lower infrastructure costs, and almost… (more)

Subjects/Keywords: Performance management; Database management systems; Cloud computing; Resource management; Control theory; Machine learning; Electronic data processing Distributed processing; Resource allocation; Information technology; Information technology Management

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APA (6th Edition):

Xiong, P. (2012). Dynamic monitoring, modeling and management of performance and resources for applications in cloud. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45779

Chicago Manual of Style (16th Edition):

Xiong, Pengcheng. “Dynamic monitoring, modeling and management of performance and resources for applications in cloud.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/45779.

MLA Handbook (7th Edition):

Xiong, Pengcheng. “Dynamic monitoring, modeling and management of performance and resources for applications in cloud.” 2012. Web. 26 Apr 2019.

Vancouver:

Xiong P. Dynamic monitoring, modeling and management of performance and resources for applications in cloud. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/45779.

Council of Science Editors:

Xiong P. Dynamic monitoring, modeling and management of performance and resources for applications in cloud. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45779


Georgia Tech

22. Palanisamy, Balaji. Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Cloud Computing represents a recent paradigm shift that enables users to share and remotely access high-powered computing resources (both infrastructure and software/services) contained in off-site… (more)

Subjects/Keywords: Cloud computing; MapReduce; Big data; Cost-optimization; Locality-awareness; Caching; System privacy; Location privacy

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APA (6th Edition):

Palanisamy, B. (2013). Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52157

Chicago Manual of Style (16th Edition):

Palanisamy, Balaji. “Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/52157.

MLA Handbook (7th Edition):

Palanisamy, Balaji. “Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms.” 2013. Web. 26 Apr 2019.

Vancouver:

Palanisamy B. Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/52157.

Council of Science Editors:

Palanisamy B. Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52157


Georgia Tech

23. Bamba, Bhuvan. Scaling location-based services with location privacy constraints: architecture and algorithms.

Degree: PhD, Computing, 2010, Georgia Tech

 Advances in sensing and positioning technology, fueled by wide deployment of wireless networks, have made many devices location-aware. These emerging technologies have enabled a new… (more)

Subjects/Keywords: Location-based services; Location privacy; Spatial alarms; Mobile system framework; Information services; Global Positioning System

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APA (6th Edition):

Bamba, B. (2010). Scaling location-based services with location privacy constraints: architecture and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34693

Chicago Manual of Style (16th Edition):

Bamba, Bhuvan. “Scaling location-based services with location privacy constraints: architecture and algorithms.” 2010. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/34693.

MLA Handbook (7th Edition):

Bamba, Bhuvan. “Scaling location-based services with location privacy constraints: architecture and algorithms.” 2010. Web. 26 Apr 2019.

Vancouver:

Bamba B. Scaling location-based services with location privacy constraints: architecture and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/34693.

Council of Science Editors:

Bamba B. Scaling location-based services with location privacy constraints: architecture and algorithms. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34693


Georgia Tech

24. Estevez, Claudio Ignacio. Carrier ethernet network solutions: transport protocol and optical backplane design.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The Metro Ethernet network (MEN) expands the advantages of Ethernet to cover areas wider than LAN. MENs running Ethernet Services as specified by the Metro… (more)

Subjects/Keywords: Carrier ethernet; Transport protocol; VCSEL; QoS; Optical coupling; Ethernet services; Ethernet (Local area network system); Computer network protocols

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APA (6th Edition):

Estevez, C. I. (2010). Carrier ethernet network solutions: transport protocol and optical backplane design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33999

Chicago Manual of Style (16th Edition):

Estevez, Claudio Ignacio. “Carrier ethernet network solutions: transport protocol and optical backplane design.” 2010. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/33999.

MLA Handbook (7th Edition):

Estevez, Claudio Ignacio. “Carrier ethernet network solutions: transport protocol and optical backplane design.” 2010. Web. 26 Apr 2019.

Vancouver:

Estevez CI. Carrier ethernet network solutions: transport protocol and optical backplane design. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/33999.

Council of Science Editors:

Estevez CI. Carrier ethernet network solutions: transport protocol and optical backplane design. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33999

25. Han, Binh Thi. Mining mobile object trajectories: frameworks and algorithms.

Degree: PhD, Computer Science, 2013, Georgia Tech

 The proliferation of mobile devices and advances in geo-positioning technologies has fueled the growth of location-based applications, systems and services. Many location-based applications have now… (more)

Subjects/Keywords: Trajectory mining; Pattern mining; Trajectory clustering; Road networks; Mobile object trajectory

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APA (6th Edition):

Han, B. T. (2013). Mining mobile object trajectories: frameworks and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52968

Chicago Manual of Style (16th Edition):

Han, Binh Thi. “Mining mobile object trajectories: frameworks and algorithms.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/52968.

MLA Handbook (7th Edition):

Han, Binh Thi. “Mining mobile object trajectories: frameworks and algorithms.” 2013. Web. 26 Apr 2019.

Vancouver:

Han BT. Mining mobile object trajectories: frameworks and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/52968.

Council of Science Editors:

Han BT. Mining mobile object trajectories: frameworks and algorithms. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52968

26. Jung, Gueyoung. Multi-dimensional optimization for cloud based multi-tier applications.

Degree: PhD, Computing, 2010, Georgia Tech

 Emerging trends toward cloud computing and virtualization have been opening new avenues to meet enormous demands of space, resource utilization, and energy efficiency in modern… (more)

Subjects/Keywords: Multitier applications; Cloud computing; Optimization; Adaptation; Power consumption; Performance; Electronic data processing Distributed processing

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APA (6th Edition):

Jung, G. (2010). Multi-dimensional optimization for cloud based multi-tier applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37267

Chicago Manual of Style (16th Edition):

Jung, Gueyoung. “Multi-dimensional optimization for cloud based multi-tier applications.” 2010. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/37267.

MLA Handbook (7th Edition):

Jung, Gueyoung. “Multi-dimensional optimization for cloud based multi-tier applications.” 2010. Web. 26 Apr 2019.

Vancouver:

Jung G. Multi-dimensional optimization for cloud based multi-tier applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/37267.

Council of Science Editors:

Jung G. Multi-dimensional optimization for cloud based multi-tier applications. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37267

27. Zhang, Gong. Data and application migration in cloud based data centers  – architectures and techniques.

Degree: PhD, Computing, 2011, Georgia Tech

 Computing and communication have continued to impact on the way we run business, the way we learn, and the way we live. The rapid technology… (more)

Subjects/Keywords: Cloud computing; Data migration; Application migration; Storage system; Distributed system; Computer architecture; Electronic data processing Distributed processing; Storage area networks (Computer networks)

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APA (6th Edition):

Zhang, G. (2011). Data and application migration in cloud based data centers  – architectures and techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41078

Chicago Manual of Style (16th Edition):

Zhang, Gong. “Data and application migration in cloud based data centers  – architectures and techniques.” 2011. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/41078.

MLA Handbook (7th Edition):

Zhang, Gong. “Data and application migration in cloud based data centers  – architectures and techniques.” 2011. Web. 26 Apr 2019.

Vancouver:

Zhang G. Data and application migration in cloud based data centers  – architectures and techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/41078.

Council of Science Editors:

Zhang G. Data and application migration in cloud based data centers  – architectures and techniques. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41078

28. Malkowski, Simon J. An empirical approach to automated performance management for elastic n-tier applications in computing clouds.

Degree: PhD, Computing, 2012, Georgia Tech

 Achieving a high degree of efficiency is non-trivial when managing the performance of large web-facing applications such as e-commerce websites and social networks. While computing… (more)

Subjects/Keywords: Empirical; Experiments; Performance management; N-Tier; Cloud computing; Information technology; Database management; Cyberinfrastructure; High performance computing

…Experimental Research in Computer Systems (CERCS) at Georgia Tech, addressing the… 

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APA (6th Edition):

Malkowski, S. J. (2012). An empirical approach to automated performance management for elastic n-tier applications in computing clouds. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44696

Chicago Manual of Style (16th Edition):

Malkowski, Simon J. “An empirical approach to automated performance management for elastic n-tier applications in computing clouds.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/44696.

MLA Handbook (7th Edition):

Malkowski, Simon J. “An empirical approach to automated performance management for elastic n-tier applications in computing clouds.” 2012. Web. 26 Apr 2019.

Vancouver:

Malkowski SJ. An empirical approach to automated performance management for elastic n-tier applications in computing clouds. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/44696.

Council of Science Editors:

Malkowski SJ. An empirical approach to automated performance management for elastic n-tier applications in computing clouds. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44696

29. Meng, Shicong. Monitoring-as-a-service in the cloud.

Degree: PhD, Computing, 2012, Georgia Tech

 State monitoring is a fundamental building block for Cloud services. The demand for providing state monitoring as services (MaaS) continues to grow and is evidenced… (more)

Subjects/Keywords: State monitoring; Cloud monitoring; Distributed systems; Cloud computing; Computer networks Monitoring; Distributed databases; Cyberinfrastructure

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APA (6th Edition):

Meng, S. (2012). Monitoring-as-a-service in the cloud. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43634

Chicago Manual of Style (16th Edition):

Meng, Shicong. “Monitoring-as-a-service in the cloud.” 2012. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/43634.

MLA Handbook (7th Edition):

Meng, Shicong. “Monitoring-as-a-service in the cloud.” 2012. Web. 26 Apr 2019.

Vancouver:

Meng S. Monitoring-as-a-service in the cloud. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/43634.

Council of Science Editors:

Meng S. Monitoring-as-a-service in the cloud. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43634

30. Jayasinghe, Indika D. An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Cloud computing has revolutionized the computing landscape by providing on-demand, pay-as-you-go access to elastically scalable resources. Many applications are now being migrated from on-premises data… (more)

Subjects/Keywords: Automation; Benchmarking; Cloud; Experiments; Performance measurements; n-Tier Application; Cloud computing; Benchmarking (Management)

…project at the Center for Experimental Research in Computer Systems (CERCS) at Georgia… …Tech, addressing the challenges in the automation of large application system management. In… 

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APA (6th Edition):

Jayasinghe, I. D. (2013). An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49098

Chicago Manual of Style (16th Edition):

Jayasinghe, Indika D. “An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 26, 2019. http://hdl.handle.net/1853/49098.

MLA Handbook (7th Edition):

Jayasinghe, Indika D. “An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds.” 2013. Web. 26 Apr 2019.

Vancouver:

Jayasinghe ID. An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1853/49098.

Council of Science Editors:

Jayasinghe ID. An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49098

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