Analysis of Multicloud Priority Based Job Scheduling For Loosely Coupled Tasks
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Cloud computing technologies can offer important benefits for IT organizations and data centers running MTC applications: elasticity and rapid provisioning, reduced capital costs, access to potentially unlimited resources and flexibility to deploy their service platforms using outsourced resources. In this project, we are going to explore this scenario to deploy a cluster of resources from multicloud infrastructure for solving loosely coupled MTC applications. The proposed work of system is that the cluster of nodes can be provisioned with resources from different clouds which are organized by priority before deploying the job. Then, the jobs are submitted based on priority scheduling algorithm. This way we prove the viability by evaluating the scalability, performance and cost of different configurations, deployed on a multicloud infrastructure. Then, showing the result of multicloud provider compared with single provider.
Authors and Affiliations
S. Ammathul Fareedha, S. Adhikesavan
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