Complications in Infrastructure as a Service Layer of Cloud and its Solution
A. Banushri11, R. A. Karthika2
1A. Banushri, Department of Computer Science& Engineering, Vels Institute of Science, Technology and Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
2Dr. R. A. Karthika, Department of Computer Science& Engineering, Vels Institute of Science, Technology and Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 30 August 2019 | Manuscript Published on 16 September 2019 | PP: 576-580 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B11100782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1110.0782S619
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© The Authors. 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: Cloud computing shows a vibrant role in existing scenario and the enactment of infrastructure as a service is perilous because of its discrepancy in the area. The cloud users have increased hastily, and the accessibility of resources for the users are less. Infrastructure as a service (IaaS) mentions the particulars of infrastructure like physical computing resources such as stowage, compute, and networking services. IaaS- cloud providers underwrite these resources based on their necessity from their vast content of resources presents any where all over the universe. Observing of these resources continually is precarious. For monitoring the availability of resources and notifying to the users about the resources is one of the challenges taken in Iaas layer is Service Level Agreement (SLA) and provided with a solution. The foremost objective of the scheduling algorithms in a cloud environment is to exploit the resources proficiently while balancing the load between resources, to get the least possible execution time. Hence, rank based task scheduling algorithm is proposed to utilize the resources efficiently and perform high performance. A simulation result gives the Quality of Service (QoS) Parameters such as length (size), CPU, throughput, and bandwidth.
Keywords: SLA, QoS, CPU, IaaS, Resources, Rank-based Task Scheduling Algorithm.
Scope of the Article: Cloud Computing