Modified Round Robin Algorithm for Resource Allocation in Cloud Computing
Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Cloud computing has emerged as a new technology that has got huge potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere. Co...
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| Published in: | Procedia computer science Vol. 85; pp. 878 - 890 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
2016
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| ISSN: | 1877-0509, 1877-0509 |
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| Abstract | Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Cloud computing has emerged as a new technology that has got huge potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced significantly. Hence there is no need for getting licenses for individual products. Cloud Computing offers an interesting solution for software development and access of content with transparency of the underlying infrastructure locality. The Cloud infrastructure is usually composed of several data centers and consumers have access to only a slice of the computational power over a scalable network. The provision of these computational resources is controlled by a provider, and resources are allocated in an elastic way, according to consumers’ needs. However one of the major pitfalls in cloud computing is related to optimizing the resources being allocated. The other challenges of resource allocation are meeting customer demands and application requirements. In this paper, modified round robin resource allocation algorithm is proposed to satisfy customer demands by reducing the waiting time. |
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| AbstractList | Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Cloud computing has emerged as a new technology that has got huge potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced significantly. Hence there is no need for getting licenses for individual products. Cloud Computing offers an interesting solution for software development and access of content with transparency of the underlying infrastructure locality. The Cloud infrastructure is usually composed of several data centers and consumers have access to only a slice of the computational power over a scalable network. The provision of these computational resources is controlled by a provider, and resources are allocated in an elastic way, according to consumers’ needs. However one of the major pitfalls in cloud computing is related to optimizing the resources being allocated. The other challenges of resource allocation are meeting customer demands and application requirements. In this paper, modified round robin resource allocation algorithm is proposed to satisfy customer demands by reducing the waiting time. |
| Author | Ray, B.N.B. Behera, Prafulla Ku Pradhan, Pandaba |
| Author_xml | – sequence: 1 givenname: Pandaba surname: Pradhan fullname: Pradhan, Pandaba email: ppradhan11@gmail.com organization: Department of CSE, ITER SOA University, Odisha, India – sequence: 2 givenname: Prafulla Ku surname: Behera fullname: Behera, Prafulla Ku email: p_behera@hotmail.com organization: Reader, Utkal University BBSR, Odisha, India – sequence: 3 givenname: B.N.B. surname: Ray fullname: Ray, B.N.B. email: bnbray@yahoo.com organization: Reader, Utkal University BBSR, Odisha, India |
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| Keywords | Customer Demand Cloud Computing Cloud Users Cloud Services Resource Allocation Cloud Infrastructure Resource Allocation Algorithm |
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| References | Ya gız Onat Yazır, Chris Matthews, Roozbeh Farahbod Stephen Neville, Adel Guitouni, Sudhakar Ganti and Yvonne Coady, “Dynamic Resource Allocation in Computing Clouds using Distributed Multiple Criteria Decision Analysis“,2010 IEEE DOI 101109/CLOUD. 2010.66 91, 2010 IEEE 3rd International Conference on Cloud Computing. Xindong YOU, Xianghua XU, Jian Wan, Dongjin YU:RAS-M ,“Resource Allocation Strategy based on Market Mechanism in Cloud Computing“(IEEE, 2009). AndrzejKochut et al. : Desktop Workload Study with Implications for Desktop Cloud Resource Optimization, 978-1-4244-6534-7/10 2010 IEEE. M. A. Vouk. (2008), “Cloud Computing - Issues, Research and Implementations“, Journal of Computing and Information Technology - CIT 16(4),)pages: 235-236. Qi Zhang,Lu Cheng, Raouf Boutaba. “Cloud Computing: State-ofthe-art and research challenges”. The Brazilian Computer Society 2010. Tram Truong Huu& John Montagnat: Virtual Resource Allocations distribution on a cloud infrastructure (IEEE, 2010), pp.612-617. V. Vinothina, Dr.R. Sridaran, Dr.PadmavathiGanapathi, “A Survey on Resource Allocation Strategies in Cloud Computing“, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No.6, 2012. Mohiuddin Ahmed, Abu Sina Md. Raju Chowdhury, Mustaq Ahmed, Md. Mahmudul Hasan Rafee, “An Advanced Survey on Cloud Computing and State-of-the-art Research Issues Ronak Patel, Sanjay Patel, “Survey on Resource Allocation Strategies in Cloud Computing“, International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 2, February- 2013 ISSN. IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 1, January 2012 ISSN. Tram Truong Huu & John Montagnat.(2010), “Virtual Resource Allocations distribution on a cloud infrastructure” ,IEEE,pp.612-617. Goudarzi H., Pedram M. (2011),“Multi-dimensional SLA-based Resource Allocation for Multi-tier Cloud Computing Systems“,in IEEE International Conference on Cloud Computing, Sep. ,pp. 324-331. Hien et al. ,’Automatic virtual resource management for service hosting platforms, cloud’09,pp 1-8. Jiayin Li, Meikang Qiu, Jian-Wei Niu, Yu Chen, Zhong Ming.(2011), “Adaptive Resource Allocation for Pre-empt able Jobs in Cloud Systems“,in 10th International Conference on Intelligent System Design and Application, Jan., pp. 31-36. Dorian Minarolli and Bernd Freisleben, “Uitlity –based Resource Allocations for virtual machines in cloud computing“(IEEE, 2011). P. Mell, T. Grance. (2011), “The NIST Definition of Cloud Computing“, NIST Special Publication 800-145, Department of Commerce, USA, pages: 2-3. Zhen Kong et.al : Mechanism Design for Stochastic Virtual Resource Allocation in Non-Cooperative Cloud Systems: 2011 IEEE 4th International Conference on Cloud Computing :pp, 614-621. Atsuo Inomata, TaikiMorikawa, Minoru Ikebe, Sk.Md. MizanurRahman: Proposal and Evaluation of Dynamin Resource Allocation Method Based on the Load Of VMs on IaaS(IEEE, 2010),978-1-4244-8704-2/11. 10.1016/j.procs.2016.05.278_bib0070 10.1016/j.procs.2016.05.278_bib0080 10.1016/j.procs.2016.05.278_bib0050 10.1016/j.procs.2016.05.278_bib0060 10.1016/j.procs.2016.05.278_bib0030 10.1016/j.procs.2016.05.278_bib0085 10.1016/j.procs.2016.05.278_bib0040 10.1016/j.procs.2016.05.278_bib0010 10.1016/j.procs.2016.05.278_bib0065 10.1016/j.procs.2016.05.278_bib0020 10.1016/j.procs.2016.05.278_bib0075 10.1016/j.procs.2016.05.278_bib0045 10.1016/j.procs.2016.05.278_bib0055 10.1016/j.procs.2016.05.278_bib0025 10.1016/j.procs.2016.05.278_bib0035 10.1016/j.procs.2016.05.278_bib0005 10.1016/j.procs.2016.05.278_bib0015 |
| References_xml | – reference: V. Vinothina, Dr.R. Sridaran, Dr.PadmavathiGanapathi, “A Survey on Resource Allocation Strategies in Cloud Computing“, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No.6, 2012. – reference: Tram Truong Huu & John Montagnat.(2010), “Virtual Resource Allocations distribution on a cloud infrastructure” ,IEEE,pp.612-617. – reference: AndrzejKochut et al. : Desktop Workload Study with Implications for Desktop Cloud Resource Optimization, 978-1-4244-6534-7/10 2010 IEEE. – reference: Ronak Patel, Sanjay Patel, “Survey on Resource Allocation Strategies in Cloud Computing“, International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 2, February- 2013 ISSN. – reference: Xindong YOU, Xianghua XU, Jian Wan, Dongjin YU:RAS-M ,“Resource Allocation Strategy based on Market Mechanism in Cloud Computing“(IEEE, 2009). – reference: Qi Zhang,Lu Cheng, Raouf Boutaba. “Cloud Computing: State-ofthe-art and research challenges”. The Brazilian Computer Society 2010. – reference: Hien et al. ,’Automatic virtual resource management for service hosting platforms, cloud’09,pp 1-8. – reference: Tram Truong Huu& John Montagnat: Virtual Resource Allocations distribution on a cloud infrastructure (IEEE, 2010), pp.612-617. – reference: IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 1, January 2012 ISSN. – reference: Zhen Kong et.al : Mechanism Design for Stochastic Virtual Resource Allocation in Non-Cooperative Cloud Systems: 2011 IEEE 4th International Conference on Cloud Computing :pp, 614-621. – reference: Ya gız Onat Yazır, Chris Matthews, Roozbeh Farahbod Stephen Neville, Adel Guitouni, Sudhakar Ganti and Yvonne Coady, “Dynamic Resource Allocation in Computing Clouds using Distributed Multiple Criteria Decision Analysis“,2010 IEEE DOI 101109/CLOUD. 2010.66 91, 2010 IEEE 3rd International Conference on Cloud Computing. – reference: M. A. Vouk. (2008), “Cloud Computing - Issues, Research and Implementations“, Journal of Computing and Information Technology - CIT 16(4),)pages: 235-236. – reference: Jiayin Li, Meikang Qiu, Jian-Wei Niu, Yu Chen, Zhong Ming.(2011), “Adaptive Resource Allocation for Pre-empt able Jobs in Cloud Systems“,in 10th International Conference on Intelligent System Design and Application, Jan., pp. 31-36. – reference: Atsuo Inomata, TaikiMorikawa, Minoru Ikebe, Sk.Md. MizanurRahman: Proposal and Evaluation of Dynamin Resource Allocation Method Based on the Load Of VMs on IaaS(IEEE, 2010),978-1-4244-8704-2/11. – reference: P. Mell, T. Grance. (2011), “The NIST Definition of Cloud Computing“, NIST Special Publication 800-145, Department of Commerce, USA, pages: 2-3. – reference: Mohiuddin Ahmed, Abu Sina Md. Raju Chowdhury, Mustaq Ahmed, Md. Mahmudul Hasan Rafee, “An Advanced Survey on Cloud Computing and State-of-the-art Research Issues – reference: Dorian Minarolli and Bernd Freisleben, “Uitlity –based Resource Allocations for virtual machines in cloud computing“(IEEE, 2011). – reference: Goudarzi H., Pedram M. (2011),“Multi-dimensional SLA-based Resource Allocation for Multi-tier Cloud Computing Systems“,in IEEE International Conference on Cloud Computing, Sep. ,pp. 324-331. – ident: 10.1016/j.procs.2016.05.278_bib0010 doi: 10.1109/CLOUD.2010.66 – ident: 10.1016/j.procs.2016.05.278_bib0050 doi: 10.1007/s13174-010-0007-6 – ident: 10.1016/j.procs.2016.05.278_bib0085 – ident: 10.1016/j.procs.2016.05.278_bib0035 – ident: 10.1016/j.procs.2016.05.278_bib0040 doi: 10.1109/CLOUD.2011.82 – ident: 10.1016/j.procs.2016.05.278_bib0060 – ident: 10.1016/j.procs.2016.05.278_bib0055 – ident: 10.1016/j.procs.2016.05.278_bib0065 doi: 10.1109/IPDPSW.2010.5470723 – ident: 10.1016/j.procs.2016.05.278_bib0015 – ident: 10.1016/j.procs.2016.05.278_bib0080 doi: 10.2498/cit.1001391 – ident: 10.1016/j.procs.2016.05.278_bib0005 doi: 10.14569/IJACSA.2012.030616 – ident: 10.1016/j.procs.2016.05.278_bib0070 – ident: 10.1016/j.procs.2016.05.278_bib0020 – ident: 10.1016/j.procs.2016.05.278_bib0030 doi: 10.1109/ISCC.2011.5983872 – ident: 10.1016/j.procs.2016.05.278_bib0025 – ident: 10.1016/j.procs.2016.05.278_bib0045 doi: 10.1109/CLOUD.2011.106 – ident: 10.1016/j.procs.2016.05.278_bib0075 doi: 10.6028/NIST.SP.800-145 |
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| Title | Modified Round Robin Algorithm for Resource Allocation in Cloud Computing |
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