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A Comparative Study on Resource Allocation Policies in Cloud Computing Environment

Bhavani B H, H S Guruprasad

Abstract


Cloud computing is one of the latest models used for sharing pool of resources like CPU, memory, network bandwidth, hard drive etc. over the Internet. These resources are requested by the cloud user and are used on a rented basis just like electricity, water, LPG etc. When requests are made by the cloud user, allocation has to be done by the cloud service provider. With the limited amount of resources available, resource allocation becomes a challenging task for the cloud service provider as the resources are to be virtualized and allocated. These resources can be allocated dynamically or statically based on the type of request made by the cloud user and also depending on the application. In this paper, survey on both Static and Dynamic Allocation techniques are made. Also, comparison of both static and dynamic resource allocation techniques is made.


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References


Sharrukh Zaman, Daniel Grosu, “An Online Mechanism for Dynamic VM Provisioning and Allocation in Clouds”, IEEE Fifth International Conference on Cloud Computing, 24-29 June 2012, pp 253-260, DOI 10.1109/CLOUD.2012.26. 2] Hong Xu, Baochun Li, “Anchor: A Versatile and Efficient Framework for Resource Management in the Cloud”, IEEE Transactions On Parallel And Distributed Systems, Vol. 24, No. 6, June 2013, pp 1066-1076, DOI 10.1109/TPDS.2012.308.

Mayank Mishra, Anwesha Das, Purushottam Kulkarni, Anirudha Sahoo, “Dynamic Resource Management Using Virtual Machine Migrations”, IEEE Communications Magazine, Vol 50, Issue 9, September 2012, DOI 10.1109/MCOM.2012.6295709. 4] Davide Adami, Barbara Martini , Gianni Antichi, Stefano Giordano “Effective Resource Control Strategies using OpenFlow in Cloud Data Center”, IFIP/IEEE International Symposium on Integrated Network Management (IM2013):Mini-Conference, 27-31 May 2013, pp 568-574.

Sheng Di, Cho-Li Wang, “Error-Tolerant Resource Allocation and Payment Minimization for Cloud System”, IEEE Transactions On Parallel And Distributed Systems, Vol. 24, No. 6, June 2013, pp 1097-1106, DOI 10.1109/TPDS.2012.309.

Ping Guo, Ling-ling Bu “The Hierarchical Resource Management Model Based on Cloud Computing”, IEEE Symposium on Electrical & Electronics Engineering (EEESYM), 24-27 June 2012, pp 471-474, DOI 10.1109/EEESym.2012.6258695. 7] Makhlouf Hadji, Djamal Zeghlache, “Minimum Cost Maximum Flow Algorithm for Dynamic Resource Allocation in Clouds”, IEEE Fifth International Conference on Cloud Computing, 24-29 June 2012, pp 876-882, DOI 10.1109/CLOUD.2012.36. 8] Li Chunlin , Li Layuan, “Multi-Layer Resource Management in Cloud Computing”, Springer, Volume 22, Issue 1, 20 January 2014, pp 100-120, DOI 10.1007/s10922-012-9261-1.

Shuo Zhang, Yaping Liu, Baosheng Wang , Ruixin Zhang ,“A Novel Resource Allocation Algorithm for a Heterogeneous Data Center”, International Conference on Information Science and Applications(ICISA), 24-26 June 2013, pp 1-4, DOI 10.1109/ICISA. 2013.6579402. 10] Ruben Van den Bossche, Kurt Vanmechelen, Jan Broeckhove, “Online cost-efficient scheduling of deadline-constrained workloads on hybrid clouds”, Elsevier, Future Generation Computer Systems, Vol 29, Issue 4, June 2013, pp 973-985, DOI10.1016 /j.future.2012.12.012.

Ilhem Fajjari, Nadjib Aitsaadi, Guy Pujolle, Hubert Zimmermann, “An Optimised Dynamic Resource Allocation Algorithm for Cloud‟s Backbone Network”, 37th Annual IEEE Conference on Local Computer networks, 22-25 Oct 2012, pp 252-255, DOI: 10.1109/LCN.2012.6423621. 12] Tianyu Wo, Qian Sun, Bo Li, Chunrning Hu, “Overbooking-based Resource Allocation in Virtualized Data Center”, 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, Shenzhen, Guangdong, 11 April 2012 pp 142-149, DOI 1O.1109IISORCW.2012.34.

Valérie Danielle Justafort, Samuel Pierre, “Performance-Aware Virtual Machine Allocation Approach in an Intercloud Environment”, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), April 29-May 2012, pp 1-4, DOI: 10.1109/CCECE.2012.6334927.

Amit Nathani, Sanjay Chaudharya, Gaurav Somani, “Policy based resource allocation in IaaS cloud”, ACM Future generation Computer Systems, Vol. 28, Issue 1, January 2012, pp 94-103, DOI 10.1016/j.future.2011.05.016. 15] Jing Xiao, Zhiyuan Wang, “A Priority based Scheduling Strategy for Virtual Machine Allocation in Cloud Computing Environment”, International Conference on Cloud Computing and Service Computing, 22-24 Nov 2012, pp 50-55, DOI: 10.1109/CSC.2012.16. 16] Xiao-Jun Chen, Jing Zhang, Jun-Huai Li, Xiang Li, “Resource Reconstruction Algorithms for On-demand Allocation in Virtual Computing Resource Pool”, Springer, International Journal of Automation and Computing, Vol 9, Issue 2, pp 142-154, DOI: 10.1007/s11633-012-0627-3.

Mohammad Firoj Mithani, Shrisha Rao, “Improving Resource Allocation in Multi-Tier Cloud Systems”, IEEE International Conference on Systems Conference, 19-22 March 2012, pp 1-6, DOI: 10.1109/SysCon.2012.6189471. 18] V.Vinothina, R.Sridaran, Padmavathi Ganapathi, “A Survey on Resource Allocation Strategies in Cloud Computing”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 3, No.6, 2012, pp 97-104. 19] Ronak Patel, Sanjay Patel, “A Survey on Resource Allocation Strategies in Cloud Computing”, International Journal of Engineering Research & Technology (IJERT), Vol.2, Issue 2, Feb 2013. 20] N.Asha, G. Raghavendra Rao, “A Review on Various Resource Allocation Strategies in Cloud Computing”, International Journal of Emerging Technology and Advanced Engineering (IJETAE), Vol.3, Issue 7, July 2013.

Baomin Xu, Chunyan Zhao, Enzhao Hua, Bin Hu, “Job scheduling algorithm based on Berger model in cloud environment”, Elsevier, Journal of Advances in Engineering Software, Vol. 42, Issue 7, July 2011, pp 419-425, DOI: 10.1016/j.advengsoft. 2011.03.007. 22] Bo Yin, Ying Wang, Luoming Meng, Xuesong Qiu “A Multi-dimensional Resource Allocation Algorithm in Cloud Computing”, Journal of Information & Computational Science 9: 11 (2012) 3021–3028. 23] Gihun Jung, Kwang Mong Sim ,“Agent-based Adaptive Resource Allocation on the Cloud Computing Environment”, 2011 International Conference on Parallel Processing Workshops, pp 345-351, DOI: 10.1109/ICPPW.2011.18.

Gihun Jung, Kwang Mong Sim, “Location-Aware Dynamic Resource Allocation Model for Cloud Computing Environment”, International Conference on Information and Computer Applications, IPCSIT vol. 24, 2012, pp 37-41.

Ikki Fujiwara, Kento Aida, Isao Ono, “Applying Double-sided Combinational Auctions to Resource Allocation in Cloud Computing”, IEEE, pp 7-14, 2010, DOI 10.1109/SAINT. 2010.93.

Siva Theja Maguluri, R. Srikant, Lei Ying,”Heavy Traffic Optimal Resource Allocation Algorithms for Cloud Computing Clusters”, 24th International Teletraffic Congress, 2012, Article No. 25.

Saeed Al-Haj, Ehab Al-Shaer, HariGovind V. Ramasamy “Security-Aware Resource Allocation in Clouds”, IEEE 10th International Conference on Services Computing, Santa Clara, CA, June 28 2013-July 3 2013, pp 400 – 407, DOI: 10.1109/SCC.2013.36.




DOI: http://dx.doi.org/10.6084/ijact.v3i6.295

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