Optimal scheduling of computational task in cloud using Virtual Machine Tree

Raghavendra Achar, P. Santhi Thilagam, D. Shwetha, H. Pooja, Roshni, Andrea

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2012 3rd International Conference on Emerging Applications of Information Technology, EAIT 2012
Pages143-146
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 3rd International Conference on Emerging Applications of Information Technology, EAIT 2012 - Kolkata, India
Duration: 30-11-201201-12-2012

Conference

Conference2012 3rd International Conference on Emerging Applications of Information Technology, EAIT 2012
CountryIndia
CityKolkata
Period30-11-1201-12-12

All Science Journal Classification (ASJC) codes

  • Information Systems

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    Achar, R., Thilagam, P. S., Shwetha, D., Pooja, H., Roshni, & Andrea (2012). Optimal scheduling of computational task in cloud using Virtual Machine Tree. In Proceedings - 2012 3rd International Conference on Emerging Applications of Information Technology, EAIT 2012 (pp. 143-146). [6407881] https://doi.org/10.1109/EAIT.2012.6407881