Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 3
Page No. 472 - 480

Priority Queue Scheduling Approach for Resource Allocation in Cloud

Authors : R. Madhumathi and R. Radhakrishnan

References

Barham, P., B. Dragovic, K. Fraser, S. Hand and T. Harris et al., 2003. Xen and the art of virtualization. Proceedings of the 19th ACM Symposium on Operating Systems Principle, October 19-22, 2003, Bolton Landing, USA., pp: 164-177.

Clark, C., K. Fraser, S. Hand, J.G. Hansen and E. Jul et al., 2005. Live migration of virtual machines. Proceedings of the 2nd Conference on Symposium on Networked Systems Design and Implementation, Volume 2, May 2-4, 2005, Boston, MA., USA., pp: 273-286.

Ding, D., X. Fan and S. Luo, 2015. User-oriented cloud resource scheduling with feedback integration. J. Supercomput., 1: 1-22.
CrossRef  |  Direct Link  |  

Gu, J., J. Hu, T. Zhao and G. Sun, 2012. A new resource scheduling strategy based on genetic algorithm in cloud computing environment. J. Comput., 7: 42-52.
CrossRef  |  Direct Link  |  

Gupta, A., L.V. Kale, D. Milojicic, P. Faraboschi and S.M. Balle, 2013. HPC-aware VM placement in infrastructure clouds. Proceedings of the 2013 IEEE International Conference on Cloud Engineering (IC2E), March 25-27, 2013, IEEE, Redwood City, CA., pp: 11-20.

Jung, G. and K.M. Sim, 2011. Agent-based adaptive resource allocation on the cloud computing environment. Proceedings of the 2011 40th International Conference on Parallel Processing Workshops, September 13-16, 2011, Taipei, Taiwan, pp: 345-351.

Kim, J.K., H.J. Siegel, A.A. Maciejewski and R. Eigenmann, 2008. Dynamic resource management in energy constrained heterogeneous computing systems using voltage scaling. Parallel Distrib. Syst. IEEE. Trans., 19: 1445-1457.
CrossRef  |  Direct Link  |  

Komarasamy, D. and V. Muthuswamy, 2015. Deadline constrained adaptive multilevel scheduling system in cloud environment. KSII. Trans. Internet Inf. Syst., 9: 1302-1320.

Lee, H.M., Y.S. Jeong and H.J. Jang, 2014. Performance analysis based resource allocation for green cloud computing. J. Supercomput., 69: 1013-1026.
CrossRef  |  Direct Link  |  

Lee, Y.C., and A.Y. Zomaya, 2012. Energy-efficient resource utilization in cloud computing. J. Supercomput., 60: 268-280.

Leivadeas, A., C. Papagianni S. Papavassiliou, 2013. Efficient resource mapping framework over networked clouds via iterated local search-based request partitioning. Parallel Distrib. Syst. IEEE. Trans., 24: 1077-1086.
CrossRef  |  Direct Link  |  

Li, C. and L. Li, 2013. Efficient resource allocation for optimizing objectives of cloud users, IaaS provider and SaaS provider in cloud environment. J. Supercomput., 65: 866-885.
CrossRef  |  Direct Link  |  

Li, J., M. Qiu, J.W. Niu, Y. Chen and Z. Ming, 2010. Adaptive resource allocation for preemptable jobs in cloud systems. Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA), November 29-December 1, 2010, Cairo, Egypt, pp: 31-36.

Liu, Y., S. Yang, Q. Lin and G.B. Kim, 2012. Loyalty-Based Resource Allocation Mechanism in Cloud Computing. In: Recent Advances in Computer Science and Information Engineering, Qian, Z., L. Cao, W. Su, T. Wang and H. Yang (Eds.). Springer, Berlin, Germany, pp: 233-238.

Madhumathi, R. and R. Radhakrishnan, 2015. A resource allocation strategy in cloud using roulette wheel selection method. Proceedings of the 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), October 8-10, 2015, IEEE, Noida, India, pp: 341-345.

Madhumathi, R., R. Radhakrishnan and A.S. Balagopalan, 2015. Dynamic resource allocation in cloud using bin-packing technique. Proceedings of the 2015 International Conference on Advanced Computing and Communication Systems, January 5-7, 2015, India, pp: 1-4.

Mills, K., J. Filliben and C. Dabrowski, 2011. Comparing vm-placement algorithms for on-demand clouds. Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom), November 29-December 1, 2011, IEEE, Athens, Greece, ISBN: 978-1-4673-0090-2, pp: 91-98.

Nelson, M., B.H. Lim and G. Hutchins, 2005. Fast transparent migration for virtual machines. Proceedings of the USENIX Annual Technical Conference on General Track, April 13, 2005, VMware Inc., California, USA., pp: 391-394.

Peng, Z., D. Cui, J. Zuo, Q. Li, B. Xu and W. Lin, 2015. Random task scheduling scheme based on reinforcement learning in cloud computing. Cluster Comput., 18: 1595-1607.
CrossRef  |  Direct Link  |  

Rochwerger, B., C. Vazquez, D. Breitgand, D. Hadas and M. Villari et al., 2010. An architecture for federated cloud computing. Cloud Comput., 81: 391-411.

Tsai, C.W., W.C. Huang, M.H. Chiang, M.C. Chiang and C.S. Yang, 2014. A hyper-heuristic scheduling algorithm for cloud. Cloud Comput. IEEE. Trans., 2: 236-250.
CrossRef  |  

Vaquero, L.M., L.R. Merino, J. Caceres and M. Lindner, 2009. A break in the clouds: Towards a cloud definition. Comput. Commun. Rev., 39: 50-55.
Direct Link  |  

Xiao, Z., W. Song and Q. Chen, 2013. Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Trans. Parallel Distrib. Syst., 24: 1107-1117.
CrossRef  |  Direct Link  |  

Zhang, Q., L. Cheng and R. Boutaba, 2010. Cloud computing: State-of-the-art and research challenges. J. Internet Serv. Applic., 1: 7-18.
CrossRef  |  Direct Link  |  

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