DocumentCode :
589695
Title :
Optimal scheduling of computational task in cloud using Virtual Machine Tree
Author :
Achar, Ramachandra ; Thilagam, P. Santhi ; Shwetha, D. ; Pooja, H. ; Roshni ; Andrea
Author_Institution :
Dept. of Comput. Sci. & Eng., St. Joseph Eng. Coll., Mangalore, India
fYear :
2012
fDate :
Nov. 30 2012-Dec. 1 2012
Firstpage :
143
Lastpage :
146
Abstract :
The increasing demand in computing resources and widespread adaptation of Service Oriented Architecture (SOA) has made cloud as a new IT delivery mechanism. In cloud, computing resources are provided to the requester as a service, which include Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Cloud Computing is still in developing stage and faces many challenges. Out of the various issues, scheduling plays a very important role in determining the efficient execution of tasks in cloud environment. In this paper we present a scheduling algorithm which uses tree based data structure called Virtual Machine Tree (VMT) for efficient execution of tasks. The proposed algorithm is tested using CloudSim simulator and the results shows that algorithm gives better performance compared to other traditional scheduling algorithms.
Keywords :
cloud computing; scheduling; service-oriented architecture; trees (mathematics); virtual machines; CloudSim simulator; IT delivery mechanism; IaaS; PaaS; SOA; SaaS; VMT; cloud computing; computational task; infrastructure as a service; optimal scheduling; platform as a service; service oriented architecture; software as a service; tree based data structure; virtual machine tree; Cloud computing; Optimal scheduling; Scheduling; Scheduling algorithms; Software as a service; Virtual machining; Cloud Computing; Scheduling; Virtual Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-1828-0
Type :
conf
DOI :
10.1109/EAIT.2012.6407881
Filename :
6407881
Link To Document :
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