Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Virtual Machine Allocation). Showing records 1 – 8 of 8 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Melbourne

1. Han, Yi. Defending against co-resident attacks in cloud computing.

Degree: 2015, University of Melbourne

 While cloud computing has obvious advantages over traditional on-premises computing environments in multiple aspects, including accessibility, availability, cost efficiency and scalability, it also introduces a… (more)

Subjects/Keywords: cloud computing security; co-resident attack; virtual machine allocation policy; security game; semi-supervised learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Han, Y. (2015). Defending against co-resident attacks in cloud computing. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/57262

Chicago Manual of Style (16th Edition):

Han, Yi. “Defending against co-resident attacks in cloud computing.” 2015. Doctoral Dissertation, University of Melbourne. Accessed January 24, 2020. http://hdl.handle.net/11343/57262.

MLA Handbook (7th Edition):

Han, Yi. “Defending against co-resident attacks in cloud computing.” 2015. Web. 24 Jan 2020.

Vancouver:

Han Y. Defending against co-resident attacks in cloud computing. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/11343/57262.

Council of Science Editors:

Han Y. Defending against co-resident attacks in cloud computing. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/57262


University of New Mexico

2. Wang, Zhuoyao. Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation.

Degree: Electrical and Computer Engineering, 2016, University of New Mexico

 Cloud computing is being widely accepted and utilized in the business world. From the perspective of businesses utilizing the cloud, it is critical to meet… (more)

Subjects/Keywords: cloud computing; heterogeneous computing; multi-tenant model; performance analysis; workload allocation; resource provisioning; virtual machine placement

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Z. (2016). Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/32340

Chicago Manual of Style (16th Edition):

Wang, Zhuoyao. “Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation.” 2016. Doctoral Dissertation, University of New Mexico. Accessed January 24, 2020. http://hdl.handle.net/1928/32340.

MLA Handbook (7th Edition):

Wang, Zhuoyao. “Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation.” 2016. Web. 24 Jan 2020.

Vancouver:

Wang Z. Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation. [Internet] [Doctoral dissertation]. University of New Mexico; 2016. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1928/32340.

Council of Science Editors:

Wang Z. Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation. [Doctoral Dissertation]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/32340

3. Ahvar, Ehsan. Cost-efficient resource allocation for green distributed clouds : Allocation de ressources pour un cloud green et distribué.

Degree: Docteur es, Informatique et télécommunications, 2017, Evry, Institut national des télécommunications

L'objectif de cette thèse est de présenter de nouveaux algorithmes de placement de machines virtuelles (VMs) à fin d’optimiser le coût et les émissions de… (more)

Subjects/Keywords: Optimisation des coûts; Allocation de ressources; Clouds distribués; Placement de machines virtuelles (VMs); Informatique dans les nuages; Cost efficient; Resource allocation; Distributed clouds; Virtual machine (VM) placement; Cloud computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ahvar, E. (2017). Cost-efficient resource allocation for green distributed clouds : Allocation de ressources pour un cloud green et distribué. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2017TELE0001

Chicago Manual of Style (16th Edition):

Ahvar, Ehsan. “Cost-efficient resource allocation for green distributed clouds : Allocation de ressources pour un cloud green et distribué.” 2017. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed January 24, 2020. http://www.theses.fr/2017TELE0001.

MLA Handbook (7th Edition):

Ahvar, Ehsan. “Cost-efficient resource allocation for green distributed clouds : Allocation de ressources pour un cloud green et distribué.” 2017. Web. 24 Jan 2020.

Vancouver:

Ahvar E. Cost-efficient resource allocation for green distributed clouds : Allocation de ressources pour un cloud green et distribué. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2017. [cited 2020 Jan 24]. Available from: http://www.theses.fr/2017TELE0001.

Council of Science Editors:

Ahvar E. Cost-efficient resource allocation for green distributed clouds : Allocation de ressources pour un cloud green et distribué. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2017. Available from: http://www.theses.fr/2017TELE0001


University of Bradford

4. Al-ou'n, Ashraf M. S. VM allocation in cloud datacenters based on the multi-agent system : an investigation into the design and response time analysis of a multi-agent-based virtual machine (VM) allocation/placement policy in cloud datacenters.

Degree: PhD, 2017, University of Bradford

 Recent years have witnessed a surge in demand for infrastructure and services to cover high demands on processing big chunks of data and applications resulting… (more)

Subjects/Keywords: Virtual machine (VM); Allocation; Response time; Agent-based; Cloud computing; Virtualisation; Multi-agent system; Host; Physical machine (PM); Processing element (PE); Data center

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Al-ou'n, A. M. S. (2017). VM allocation in cloud datacenters based on the multi-agent system : an investigation into the design and response time analysis of a multi-agent-based virtual machine (VM) allocation/placement policy in cloud datacenters. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/16067

Chicago Manual of Style (16th Edition):

Al-ou'n, Ashraf M S. “VM allocation in cloud datacenters based on the multi-agent system : an investigation into the design and response time analysis of a multi-agent-based virtual machine (VM) allocation/placement policy in cloud datacenters.” 2017. Doctoral Dissertation, University of Bradford. Accessed January 24, 2020. http://hdl.handle.net/10454/16067.

MLA Handbook (7th Edition):

Al-ou'n, Ashraf M S. “VM allocation in cloud datacenters based on the multi-agent system : an investigation into the design and response time analysis of a multi-agent-based virtual machine (VM) allocation/placement policy in cloud datacenters.” 2017. Web. 24 Jan 2020.

Vancouver:

Al-ou'n AMS. VM allocation in cloud datacenters based on the multi-agent system : an investigation into the design and response time analysis of a multi-agent-based virtual machine (VM) allocation/placement policy in cloud datacenters. [Internet] [Doctoral dissertation]. University of Bradford; 2017. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10454/16067.

Council of Science Editors:

Al-ou'n AMS. VM allocation in cloud datacenters based on the multi-agent system : an investigation into the design and response time analysis of a multi-agent-based virtual machine (VM) allocation/placement policy in cloud datacenters. [Doctoral Dissertation]. University of Bradford; 2017. Available from: http://hdl.handle.net/10454/16067

5. Liu, Xing. Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes : Système d'exploitation temps-réel hybride intégré avec un middelware pour les noeuds capteurs sans fil contraints en ressources.

Degree: Docteur es, Informatique, 2014, Université Blaise-Pascale, Clermont-Ferrand II

 Avec les avancées récentes en microélectronique, en traitement numérique et en technologie de communication, les noeuds de réseau de capteurs sans fil (noeud RCSF) deviennent… (more)

Subjects/Keywords: Système d’exploitation temps réel; Intergiciel; Réseau de capteurs sans fil; Ordonnanceur hybride; Allocation dynamique de la mémoire; Machine virtuelle; Énergie efficiente; Real-time operating system; Middleware; Wireless sensor network; Hybrid scheduling; Dynamic allocation; Virtual machine; Energy conservation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, X. (2014). Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes : Système d'exploitation temps-réel hybride intégré avec un middelware pour les noeuds capteurs sans fil contraints en ressources. (Doctoral Dissertation). Université Blaise-Pascale, Clermont-Ferrand II. Retrieved from http://www.theses.fr/2014CLF22472

Chicago Manual of Style (16th Edition):

Liu, Xing. “Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes : Système d'exploitation temps-réel hybride intégré avec un middelware pour les noeuds capteurs sans fil contraints en ressources.” 2014. Doctoral Dissertation, Université Blaise-Pascale, Clermont-Ferrand II. Accessed January 24, 2020. http://www.theses.fr/2014CLF22472.

MLA Handbook (7th Edition):

Liu, Xing. “Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes : Système d'exploitation temps-réel hybride intégré avec un middelware pour les noeuds capteurs sans fil contraints en ressources.” 2014. Web. 24 Jan 2020.

Vancouver:

Liu X. Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes : Système d'exploitation temps-réel hybride intégré avec un middelware pour les noeuds capteurs sans fil contraints en ressources. [Internet] [Doctoral dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2014. [cited 2020 Jan 24]. Available from: http://www.theses.fr/2014CLF22472.

Council of Science Editors:

Liu X. Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes : Système d'exploitation temps-réel hybride intégré avec un middelware pour les noeuds capteurs sans fil contraints en ressources. [Doctoral Dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2014. Available from: http://www.theses.fr/2014CLF22472

6. Xie, Qiaomin. Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Scheduling and resource allocation in cloud systems is of fundamental importance to system efficiency. The focus of this thesis is to study the fundamental limits… (more)

Subjects/Keywords: Scheduling; Resource Allocation; Cloud Computing; Data Locality; Virtual Machine Assignment

…component of the software stack, the scheduling and resource allocation mechanism affects the… …system performance substantially. The scheduling and resource allocation mechanism determines… …allocation mechanism. The metrics used to evaluate the performance of a scheduling algorithm vary a… …resource allocation. The focus of this thesis is to study the fundamental limits of the… …resource requests submitted by customers, in the form of virtual machines. The system must make… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xie, Q. (2016). Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95280

Chicago Manual of Style (16th Edition):

Xie, Qiaomin. “Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 24, 2020. http://hdl.handle.net/2142/95280.

MLA Handbook (7th Edition):

Xie, Qiaomin. “Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails.” 2016. Web. 24 Jan 2020.

Vancouver:

Xie Q. Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2142/95280.

Council of Science Editors:

Xie Q. Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95280

7. Zaman, Sharrukh. Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds.

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

  Current cloud providers use fixed-price based mechanisms to allocate Virtual Machine (VM) instances to their users. But economic theory states that when there are… (more)

Subjects/Keywords: Cloud Computing; Combinatorial Auction; Game Theory; Mechanism Design; Online Mechanism; Virtual Machine Allocation; Computer Sciences; Economics

virtual machine allocation mechanisms employed by the cloud providers are mainly fixed-price… …called the Virtual Machine Allocation Problem (VMAP), which we present in Chapter 3… …dissertation. • Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds. We… …of cloud virtual machine allocation, an online mechanism would be invoked as soon as some… …mechanism can provide fair allocation and economic provisioning of computing resources as virtual… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zaman, S. (2013). Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/720

Chicago Manual of Style (16th Edition):

Zaman, Sharrukh. “Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds.” 2013. Doctoral Dissertation, Wayne State University. Accessed January 24, 2020. https://digitalcommons.wayne.edu/oa_dissertations/720.

MLA Handbook (7th Edition):

Zaman, Sharrukh. “Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds.” 2013. Web. 24 Jan 2020.

Vancouver:

Zaman S. Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds. [Internet] [Doctoral dissertation]. Wayne State University; 2013. [cited 2020 Jan 24]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/720.

Council of Science Editors:

Zaman S. Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds. [Doctoral Dissertation]. Wayne State University; 2013. Available from: https://digitalcommons.wayne.edu/oa_dissertations/720

8. Vestman, Simon. Cloud application platform - Virtualization vs Containerization : A comparison between application containers and virtual machines.

Degree: 2017, , Department of Software Engineering

  Context. As the number of organizations using cloud application platforms to host their applications increases, the priority of distributing physical resources within those platforms… (more)

Subjects/Keywords: Openstack; Docker; Simon Vestman; Malvacom; Malvacom AB; Application container; virtual machine; performance; scalability; comparison; user isolation; abstraction; resource allocation; containerization; virtualization; cloud application platform; platform as a service; CPU; RAM; efficiency; request handling; Computer Systems; Datorsystem

…instance. The actual disk allocation for the virtual machine on the host system depends on the… …Docker, in terms of user space isolation and resource allocation. Virtual machine in Openstack… …due to the virtual memory allocation done by the virtual machine at startup, as found in… …allocation, can be observed from the comparison between application containers and virtual machines… …application container and virtual machine, will be examined, where the importance lies in gaining… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vestman, S. (2017). Cloud application platform - Virtualization vs Containerization : A comparison between application containers and virtual machines. (Thesis). , Department of Software Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14590

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):

Vestman, Simon. “Cloud application platform - Virtualization vs Containerization : A comparison between application containers and virtual machines.” 2017. Thesis, , Department of Software Engineering. Accessed January 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14590.

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

MLA Handbook (7th Edition):

Vestman, Simon. “Cloud application platform - Virtualization vs Containerization : A comparison between application containers and virtual machines.” 2017. Web. 24 Jan 2020.

Vancouver:

Vestman S. Cloud application platform - Virtualization vs Containerization : A comparison between application containers and virtual machines. [Internet] [Thesis]. , Department of Software Engineering; 2017. [cited 2020 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14590.

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

Council of Science Editors:

Vestman S. Cloud application platform - Virtualization vs Containerization : A comparison between application containers and virtual machines. [Thesis]. , Department of Software Engineering; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14590

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

.