Resource Provisioning and Resource Allocation in Cloud Computing Environment

Authors(1) :-Ritu Aggarwal

Today, Cloud computing become an emerging technology which will has a significant impact on IT Infrastructure. Still, Cloud computing is infancy. In the current cloud computing environment there is numerous of application, consist of millions of module, these application serve from large quantity of users and the user request becomes dynamic. So there must be provision that all resources are dynamically made available to satisfy the needs of requesting users. The resource provisioning was done by considering Service Level Agreements (SLA) and with the help of parallel processing using different types of scheduling heuristic. In this paper we realize such various policies for resource provisioning and issues related to them in current cloud computing environment. Keywords: Cloud computing; Scheduling, Service Level Agreements (SLA), Virtualization, Virtual Machines (VM). - Distributed computing is a developing innovation which gives compelling administrations to the customers. It licenses customers to scale here and there their assets utilization relying on their necessities Because of this, under arrangement and over arrangement issues may happen. To defeat this relocation of administration use Our Paper concentrates on conquering this issue by appropriating the asset to various customers through virtualization innovation to upgrade their profits. By utilizing virtualization, it allots datacenter assets powerfully in view of uses requests and this innovation likewise bolsters green innovation by advancing the number of servers being used. We show another approach called "Skewness", to figure the unevenness in the Multi-level asset usage of a server. By enhancing Skewness, we can join diverse sorts of workloads enough and we can enhance the entire utilization of server assets

Authors and Affiliations

Ritu Aggarwal
M. Tech Computer Science & Engineering, MMEC Mullana Himalayan Grroup of Professional Institutions, Himachal Pradesh, India

Cloud computing, overprovision, underprovision, green computing, skewness,Cloud Computing; Cloud Services; Resource Allocation; Infrastructure.

  1. A.Singh ,M.Korupolu and D.Mohapatra. Server-storage virtualization:Integration and Load balancing in data centers. In Proc.2008 ACM/IEEE conference on supercomputing (SC'08) pages 1- 12, IEEE Press 2008.
  2. ndrzejKochut et al. : Desktop Workload Study with Implications for Desktop Cloud Resource Optimization,978-1-4244-6534-7/10 2010 IEEE.
  3. 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.
  4. D. Gmach, J.RoliaandL.cherkasova, Satisfying service level objectives in a self-managing resource pool. In Proc. Third IEEE international conference on self-adaptive and self organizing system.(SASO'09) pages 243-253.IEEE Press 2009 .
  5. David Irwin, PrashantShenoy, Emmanuel Cecchet and Michael Zink:Resource Management in Data-Intensive Clouds: Opportunities and Challenges .This work is supported in part by NSF under grant number CNS-0834243.
  6. Dongwan Shin and HakanAkkan :Domain- based virtualized resource management in cloud computing.
  7. Dorian Minarolli and Bernd Freisleben: Uitlity –based Resource Allocations for virtual machines in cloud computing(IEEE,2011),pp.410-417.
  8. DusitNiyato, Zhu Kun and Ping Wang : Cooperative Virtual Machine Management for Multi-Organization Cloud Computing Environment.
  9. FetahiWuhib and Rolf Stadler : Distributed monitoring and resource management for Large cloud environments(IEEE,2011),pp.970-975.
  10. HadiGoudaezi and MassoudPedram : Multidimensional SLA-based Resource Allocation for Multi-tier Cloud Computing Systems IEEE 4th International conference on Cloud computing 2011,pp.324-331.
  11. HadiGoudarzi and MassoudPedram: Maximizing Profit in Cloud Computing System Via Resource Allocation: IEEE 31st International Conference on Distributed Computing Systems Workshops 2011: pp,1- 6.
  12. Hien et al. ,'Automatic virtual resource management for service hosting platforms, cloud'09,pp 1-8. 13Hien Nguyen et al.: SLA-aware Virtual Resource Management for Cloud Infrastructures: IEEE Ninth International Conference on Computer and Information Technology 2009, pp.357-362.
  13. I.Popovici et al,"Profitable services in an uncertain world". In proceedings of the conference on supercomputing CSC2005.
  14. Jiyani et al.: Adaptive resource allocation for preemptable jobs in cloud systems (IEEE, 2010), pp.31-36.
  15. Jose Orlando Melendez &shikhareshMajumdar: Matchmaking with Limited knowledge of Resources on Clouds and Grids.
  16. K.H Kim et al. Power-aware provisioning of cloud resources for real time services. In international workshop on Middlleware for grids and clouds and e-science, pages 1-6, 2009.
  17. Karthik Kumar et al.: Resource Allocation for real time tasks using cloud computing (IEEE, 2011), pp. 19Keahey et al., "sky Computing",Intenet computing, IEEE,vol 13,no.5,pp43-51,sept-Oct2009
  18. Kuo-Chan Huang &Kuan-Po Lai: Processor Allocation policies for Reducing Resource fragmentation in Multi cluster Grid and Cloud Environments (IEEE, 2010), pp.971-976.
  19. Linlin Wu, Saurabh Kumar Garg and Raj kumarBuyya: SLA –based Resource Allocation for SaaS Provides in Cloud Computing Environments (IEEE, 2011), pp.195-204 .
  20. Lizhewang,JieTao,Kunze M.,Castellanos,A.C,Kramer,D.,Karl,w, "High Performance Computing and Communications",IEEE International Conference HPCC,2008,pp.825-830.
  21. M.SuhailRehman,MajdF.Sakr : Initial Findings for provisioning Variation in Cloud Computing(IEEE,2010),pp.473-479 .
  22. P.Ruth,J.Rhee, D.Xu, R.Kennell and S.Goasguen, "Autonomic Adaptation of virtual computational environments in a multi-domain infrastructure", IEEE International conference on Autonomic Computing, 2006,pp.5-14.
  23. Patricia Takako Endo et al. :Resource allocation for distributed cloud :Concept and Research challenges(IEEE,2011),pp.42-46 .
  24. Paul Marshall, Kate Keahey& Tim Freeman: Elastic Site(IEEE,2010),pp.43-52.
  25. PenchengXiong,Yun Chi, Shenghuo Zhu, Hyun Jin Moon, CaltonPu&HakanHacigumus: Intelligent Management Of Virtualized Resources for Database Systems in Cloud Environment(IEEE,2011),pp.87-98.
  26. RerngvitYanggratoke, FetahiWuhib and Rolf Stadler: Gossip-based resource allocation for green computing in Large Clouds: 7th International conference on network and service management, Paris, France, 24-28 October, 2011
  27. Zhen Xiao, Senior Member, IEEE, Weijia Song, and Qi Chen, "Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment", VOL. 24, NO. 6, JUNE 2013
  28. L. Siegele, "Let It Rise: A Special Report on Corporate IT," The Economist, vol. 389, pp. 3-16, Oct. 2008.
  29. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, "Xen and the Art of Virtualization," Proc ACM Symp. Operating Systems Principles (SOSP '03), Oct. 2003.
  30. "Amazon elastic compute cloud (Amazon EC2)," http://aws., 2012.
  31. C. Clark, K. Fraser, S. Hand, J.G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, "Live Migration of Virtual Machines," Proc. Symp.Networked Systems Design and Implementation (NSDI '05), May 2005.
  32. M. Nelson, B.-H. Lim, and G. Hutchins, "Fast Transparent Migration for Virtual Machines," Proc. USENIX Ann. Technical Conf., 2005.

Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1040-1049
Manuscript Number : CSEIT1833369
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Ritu Aggarwal, "Resource Provisioning and Resource Allocation in Cloud Computing Environment", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1040-1049, March-April-2018.
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