Intelligent Workload Management of Computing Resource Allocation For Mobile Cloud Computing

Intelligent Workload Management of Computing Resource Allocation For Mobile Cloud Computing

  IJCOT-book-cover
 		 International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2015 by IJCOT Journal
Volume - 5 Issue - 2
Year of Publication : 2015
Authors :  Muzammil H Mohammed,Faiz Baothman
DOI : 10.14445/22492593/IJCOT-V19P302

Citation

Muzammil H Mohammed,Faiz Baothman"Intelligent Workload Management of Computing Resource Allocation For Mobile Cloud Computing", International Journal of Computer & organization Trends (IJCOT), V5(2):30-39 Mar - Apr 2015, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract - Mobile cloud computing (MCC) allows mobile devices to source their computing, storage and alternative tasks onto the cloud to realize a lot of capacities and better performance. one in all the foremost important analysis problems is however the cloud will expeditiously handle the attainable overwhelming requests from mobile users once the cloud resource is proscribed. during this paper, a unique MCC adaptative resource allocation model is projected to realize the optimum resource allocation in terms of the greatest overall system reward by considering each cloud and mobile devices. to realize this goal, we have a tendency to model the adaptative resource allocation as a semi-Markov decision process (SMDP) to capture the dynamic arrivals and departures of resource requests. Intensive simulations square measure conducted to demonstrate that our projected model can do higher system reward and lower service obstruction likelihood compared to ancient approaches supported greedy resource allocation algorithmic program. Performance comparisons with numerous MCC resource allocation schemes are provided.

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Keywords
Cloud Computing, mobile cloud computing, semi-Markov decision process, QoS, cloud service supplier.