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
Link To Document :
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