Open AccessCrucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments
Author(s) -
M.A. Fazlina,
Rohaya Latip,
Azizol Abdullah,
Hamidah Ibrahim,
Mohamed A. Alrshah
Publication year - 2021
Publication title -
mağallaẗ baġdād li-l-ʿulūm
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 6
eISSN - 2411-7986
pISSN - 2078-8665
DOI - 10.21123/bsj.2021.18.4(suppl.).1356
Subject(s) - replication (statistics) , cloud computing , computer science , cloudsim , selection (genetic algorithm) , response time , distributed computing , download , operating system , mathematics , artificial intelligence , statistics
Cloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to ensure every individual data is secured and always accessible. Hence, an appropriate replication strategy capable of selecting essential data is required in cloud replication environments as the solution. This paper proposed a Crucial File Selection Strategy (CFSS) to address poor response time in a cloud replication environment. A cloud simulator called CloudSim is used to conduct the necessary experiments, and results are presented to evidence the enhancement on replication performance. The obtained analytical graphs are discussed thoroughly, and apparently, the proposed CFSS algorithm outperformed another existing algorithm with a 10.47% improvement in average response time for multiple jobs per round.