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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

REAL TIME OPTIMIZATION SCHEDULING ON IAAS CLOUD SYSTEM

Deepika Saxena*, Dr. R.K. Chauhan and Shilpi Saxena

ABSTRACT

Cloud Computing has extremely surpassed the whole world of Information Technology. Basically, cloud is a cluster of distributed and interlinked servers providing on-demand services to customers. Broadly, it offers software-as-a-service(SAAS), platform-as-a-service(PAAS), infrastructure-as-a-service(IAAS). Here we are focusing on IAAS cloud system which offers computational resources to remote customers in the form of leases. Here we are defining real-time or online optimized scheduling of requests of various resources arriving simultaneously at data center of IAAS cloud service provider. Being more practical, our algorithm is providing best resource utilization and better results in terms of execution time as compared to DFPT algorithm for task scheduling in cloud computing which do not considers dependency between tasks(requests). Our algorithm proposes dynamic task allocation on IAAS clouds and resource scheduling by utilizing the updated status of various Virtual machines available at real time. We have simulated this experiment using CloudSim toolkit. Surely, there is very beneficial improvement in results as compared to default FCFS scheduling and other available scheduling algorithms.

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