An Examination of Different Scheduling Algorithms in Cloud Computing
Umang Panchal1, Kiritkumar Modi2, Jaimeel Shah3
1Umang panchal*, Computer Engineering, Parul Institute of Technology, Vadodara, India.
2Dr. kiritkumar modi, computer engineering, Parul Institute of Technology, Vadodara, India.
3Jaimeel shah, Computer Engineering, Parul Institute of Technology, Vadodara, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 01, 2020. | Manuscript published on April 10, 2020. | PP: 2219-2222 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4392049620/2020©BEIESP | DOI: 10.35940/ijitee.F4392.049620
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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: Rapid growth in the use of cloud base service comes up with so many challenges. Service providers of cloud base service looking for the best solution to these challenges. Users of service sends the request for a particular task so at a time number of request sends by different users for different task, this all task need to be complete in a particular time is one of the biggest challenges in cloud computing It is defined as a workflow scheduling. Parallel other key points are better utilization of resources, reduce make span time, energy-saving and many more consider as QoS parameters. Researchers conduct so many Qos parameter oriented research to make it efficient The Aim of this review paper is to provide systemic review and better understating of ongoing research on different approaches and service providers always looking for better solutions of challenges to maintain service level.
Keywords: Workflow Scheduling, Load Balancing, Make span, Resource Utilization, Qos Parameters
Scope of the Article: Cloud Resources Utilization in IoT