Study on Resource Allocation in Cloud

Authors

  • Surendran S Department of Computer Science and Engineering, Met’s School of Engineering, Mala, India
  • Sreetha ES Department of Computer Science and Engineering, Met’s School of Engineering, Mala, India
  • M Azath Department of Computer Science and Engineering, Met’s School of Engineering, Mala, India

Keywords:

Cloud Computing, Computational Resources, Data Centers, Resource allocation, VM Provisioning, allocation

Abstract

Cloud computing is an accepted trend in current computing which provide cheap and easy access to computational resources. In cloud computing, multiple cloud users can simultaneously request cloud services. Accessing of applications and associated data from anywhere is possible using clouds. Current cloud providers do not allocate the resources efficiently. Services are delivered to large number of users as demand grows up. This survey reviews various resource allocation methods.

References

http://en.wikipedia.org/wiki/Cloud_computing

Lizhewang,JieTao,KunzeM.,Castellanos,A.C,Kramer,D.,Karl,w, ”High Performance Computing and Communications”,IEEE International Conference HPCC,2008,pp.825-830.

V.Vinothina, Sr.Lecturer, Dr.R.Sridaran, Dean, Dr.PadmavathiGanapathi”A survey on resource allocation strategies in cloud computing” International Journal of Advanced Computer Science andApplications, Vol. 3, No.6, 2012

Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, and Randy H. Katz, Topology aware resorce allocation for data-intensive workloads, ACM SIGCOMM Computer Communication Review, 41(1):120--124, 2011

Abirami S.P. and Shalini Ramanathan, Linear scheduling strategy for resource allocation in cloud environment, International Journal on Cloud Computing: Services and Architecture(IJCCSA), 2(1):9--17, 2012

HadiGoudarzi, MassoudPedram, Multi-dimensional SLAbased Resource Allocation for Multi-tier Cloud Computing Systems, in Proceedings of IEEE International Conference on Cloud Computing (CLOUD),Washington DC USA, 2011. [7] 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.

PradeepPadala, Kai-Yuan Hou Kang G. Shin, Xiaoyun Zhu, Mustafa Uysal, Zhikui Wang, SharadSinghal, Arif Merchant “Automated Control of Multiple Virtualized Resources”, The University of Michigan, Hewlett Packard Laboratories.

Xiaomin zhua,chuan Hea,Kenli Li,Xiao Qin “Adaptive energy-efficient scheduling for real time tasks on DVS-enabled heterogeneous clusters”, J.Parallel Distrib. Comput, SciVerse ScienceDirect, 2012 Elsevier Inc.

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

X.Zhu et al. Integrated capacity and workload management for the next generation data center. In proc.5th international conference on Automatic computing(ICAC’08),pages 172-181,IEEE Press 2008.

. Amit Nathani, Sanjay Chaudharya, GauravSomani, “Policy based resource allocation inIaaS cloud”, Future Generation Computer Systems28 (2012)94–103 doi:10.1016/j.future.2011.05.016

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Published

2014-12-31

How to Cite

[1]
S. Surendran, E. Sreetha, and M. Azath, “Study on Resource Allocation in Cloud”, Int. J. Comp. Sci. Eng., vol. 2, no. 12, pp. 121–124, Dec. 2014.