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Trust Based Resource Selection in Cloud Computing Using Hybrid Algorithm
Author(s) -
Vive Kumar,
M. Aramudhan
Publication year - 2015
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2015.08.08
Subject(s) - computer science , cloud computing , distributed computing , scheduling (production processes) , fair share scheduling , dynamic priority scheduling , algorithm , operating system , computer network , mathematical optimization , quality of service , mathematics
Cloud computing is experiencing rapid advancement in academia and industry. This technology offers distributed, virtualized and elastic resources as utilities for end users and can support full recognition of "computing as a utility" in the future. Scheduling distributes resources among parties which simultaneously and asynchronously seek it. Scheduling algorithms are meant for scheduling and they reduce resource starvation ensuring fairness among those using the resources. Most Task-scheduling cloud computing procedures consider task, resource requirements for CPU and memory, and not bandwidth. This study suggests optimizing scheduling with BAT-Harmony search hybrid algorithm.

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