DocumentCode
230963
Title
Mapping of tasks to resources maintaining fairness using swarm optimization in cloud environment
Author
Sharma, Ritu ; Bharti, Monika
Author_Institution
Comput. Sci. & Eng. Dept., Chandigarh Univ., Mohali, India
fYear
2014
fDate
8-10 Oct. 2014
Firstpage
1
Lastpage
6
Abstract
Cloud computing gets its standard all over the world due to the necessity for delivering IT services, in excess with internet. It consist of pooled computing resources like network, applications, servers consist of parallel and distributed system based on the SLA. It has been perceived from the past decade that in a cloud environment task scheduling became concerned issue. In this paper our aim is to get better optimized results for which we do mapping of tasks to resources maintaining fairness using the PSO scheduling algorithm. The platform used for the experiment is CloudSim via which we attain more efficiency.
Keywords
cloud computing; parallel algorithms; particle swarm optimisation; scheduling; CloudSim; IT services; Internet; PSO scheduling algorithm; SLA; cloud computing; cloud environment task scheduling; computing resources; distributed system; parallel system; swarm optimization; Algorithm design and analysis; Cloud computing; Job shop scheduling; Optimization; Scheduling algorithms; CloudSim; Cloudlet; Computing cloud; Particle Swarm Optimization; QoS; Task Scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-6895-4
Type
conf
DOI
10.1109/ICRITO.2014.7014724
Filename
7014724
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