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Comparison of Algorithms for W orkflow Applications in C loud C omputing
Author(s) -
Sriperambuduri Vinay Kumar,
M. Nagaratna
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a3139.1011121
Subject(s) - workflow , cloud computing , computer science , workflow management system , scheduling (production processes) , distributed computing , job shop scheduling , workflow technology , quality of service , schedule , database , data science , operating system , computer network , engineering , operations management
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.

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