A Technological Review on Scheduling Algorithm to Improve Performance of Cloud Computing Environment
Rahul Bhatt1, Mayanak Agarwal2
1Rahul Bhatt, Uttarakhand Technical University, Dehradun, India.
2Mayanak Agarwal, Gurukul Kangri University, Dehradun, India.
Manuscript received on 03 April 2019 | Revised Manuscript received on 10 April 2019 | Manuscript Published on 13 April 2019 | PP: 166-172 | Volume-8 Issue-6C April 2019 | Retrieval Number: F12370486C19/19©BEIESP
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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 is today’s latest technology in computing for storing and managing data in IT sector. It is the upcoming era of registering what’s more, a creating processing worldview in the present day industry, either might be government associations or people in general associations. It is shifted from purchase of a product to pay as you go service, that is delivered to the users using internet and datacenters to store the data, known as Cloud, to store and maintain by different cloud service providers like ; Google, Salesforce etc. In cloud computing environment there should be an effectively and efficiently way to access the data with minimum time and limited resources with proper security, for this purpose, we can use the allocation and scheduling. To speed up the operations, various task scheduling techniques and algorithms were proposed so far but still most of them are not considering both Quality of Service (QoS) and virtual machine optimization factor, which is the upmost important parameter to satisfy the needs of user and effective utilization of resources. By using the cloud simulator, we can create applications using different components like Datacenters to for cloud services, host, cloudlets, different types of users, virtual machines, and other utilities for configuration and analyzing the cloud computing environment. This paper presented a technological survey on task scheduling algorithms with specifying the important features on the Cloud Sim simulator.
Keywords: Cloud Computing, Scheduling, Task Scheduling, Cloud Sim, Pay as you go.
Scope of the Article: Evolutionary Computing and Intelligent Systems