Cost Effective Resource Scheduling for Infrastructure as a Service (IaaS) in Cloud Computing
G Dinesh1, C. K Aravind Raj2, S. Muthu Saravanan3, M Tamil Thendral4
1G. Dinesh, Student, Department of Computer Science & Engineering, Kingston Engineering College, Vellore (Tamil Nadu)-632059, India.
2C. K. Aravind Raj, Student, Department of Computer Science & Engineering, Kingston Engineering College, Vellore (Tamil Nadu)-632059, India.
3S. Muthu saravanan, Student, Department of Computer Science & Engineering, Kingston Engineering College, Vellore (Tamil Nadu)-632059, India.
4M. Tamil Thendral, Assistant Professor, Department of Computer Science & Engineering, Kingston Engineering College, Vellore (Tamil Nadu)-632059, India.
Manuscript received on April 02, 2017. | Revised Manuscript received on April 03, 2017. | Manuscript published on April 25, 2017. | PP: 1-5 | Volume-4 Issue-9, April 2017. | Retrieval Number: I1158044917
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Resource scheduling assigns the precise and accurate task to CPU, network, and storage. The aim behind this is the extreme usage of resources. However, well organized scheduling is needed for both cloud providers and cloud users. We propose a cost effective Resource scheduling algorithm that minimizes the utilization cost of the resources while meeting the deadline in cloud computing environment. we are calculating processing cost based on MIPS (Machine Instruction Per Second), For Memory (RAM) and Bandwidth based on MBPS(Megabytes Per Second) and For storage is based on MBs consumed to store the data. Our proposal considers all the essential characteristics of the cloud as well as VM performance variation and acquisition delay.
Keywords: Resource management, IaaS cloud, Resource scheduling, Resource discovery, Resource allocation.