Comparison of Algorithms for Workflow Applications in Cloud Computing
Sriperambuduri Vinay Kumar1, M. Nagaratna2
1Sriperambuduri Vinay Kumar*, Research Scholar, JNTUH College of Engineering, Hyderabad, India.
2Dr. M. Nagaratna, Professor, JNTUH College of Engineering, Hyderabad, India.
Manuscript received on September 02, 2021. | Revised Manuscript received on September 20, 2021. | Manuscript published on October 30, 2021. | PP: 55-59 | Volume-11 Issue-1, October 2021. | Retrieval Number: 100.1/ijeat.A31391011121 | DOI: 10.35940/ijeat.A3139.1011121
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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 model has evolved to deliver resources on pay per use model to businesses, service providers and end-users. Workflow scheduling has become one of the research trends in cloud computing as many applications in scientific, business, and big data processing can be expressed in the form of a workflow. The scheduling aims to execute scientific or synthetic workloads on the cloud by utilizing the resources by meeting QoS requirements, makespan, energy and cost. There has been extensive research in this area to schedule workflow applications in a distributed environment, to execute background tasks in IoT applications, event-driven and web applications. This paper focuses on the comprehensive survey and classification of workflow scheduling algorithms designed for the cloud.
Keywords: Cloud computing, makespan, scheduling, scientific workflow, workflow.