By Pankti Doshi, Vijay Raisinghani (auth.), Srija Unnikrishnan, Sunil Surve, Deepak Bhoir (eds.)
This ebook constitutes the refereed complaints of the 3rd overseas convention on Advances in Computing, conversation and keep an eye on, ICAC3 2013, held in Mumbai, India, in January 2013. The sixty nine papers awarded during this quantity have been rigorously reviewed and chosen for inclusion within the publication. They take care of subject matters corresponding to photograph processing, synthetic intelligence, robotics, instant communications; facts warehousing and mining, and are equipped in topical sections named: computing; communique; regulate; and others.
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Extra info for Advances in Computing, Communication, and Control: Third International Conference, ICAC3 2013, Mumbai, India, January 18-19, 2013. Proceedings
Cloud computing resource allocation mechanism research based on reverse auction. Energy Procedia. 13, 736–741 (2011) 24 N. Farajian and K. Zamanifar 14. : Applying Double-sided Combinational Auctions to Resource Allocation in Cloud Computing. In: IEEE 10th Annual International Symposium on Applications and the Internet (2010) 15. : A Continues Double Auction Method for Resource Allocation in Economic Grids. International Journal of Computer Application 43, 7–12 (2012) 16. : From Market-driven e-Negotiation Agents to Market-driven G-Negotiation Agents.
The Cambridge Marriott-Kendall Square, Cambridge (2005) 38 S. M. Murthy 12. : Towards Soft Real-Time Applications on Enterprise Desktop Grids. In: Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID 2006), pp. 65–72. IEEECS Press (May 2006) 13. : Volunteer Availability based Fault Tolerant Scheduling Mechanism in Desktop Grid Computing Environment. In: The 3th IEEE International Symposium on Network Computing and Applications, Workshop Ouun Adaptive Grid Computing (NCA-AGC 2004), pp.
These methods do not consider the information about the changing environmental variables like node reliability and dynamically changing load conditions in the desktop grid when job transmission latencies are more. Some of the algorithms make scheduling decisions based on the periodically collected information available with the node. The collected information might become outdated by the time a new job is generated at the node. Considering this fact into account, we are proposing PJSS that takes future load predictions of the node into account for effective scheduling decision.