Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Workflow Scheduling Algorithm for Budget Constraint Green Cloud Computing

Authors
Medara Rambabu1, *, Robin Kurana2, K. Praveen Kumar3, Srinivasa Rao Bendi1
1Gandhi Institute of Technology and Management, Visakhapatnam, 530045, India
2Amazon, Gurugram, 122002, Delhi, India
3Department of Information Technology, Vignan’s Foundation for Science, Technology & Research University, Guntur, India
*Corresponding author. Email: rmedara@gitam.edu
Corresponding Author
Medara Rambabu
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_53How to use a DOI?
Keywords
Cloud computing; Data center; Monetary cost; Energy consumption; Deadline constraints
Abstract

Cloud computing is a promising platform for various applications and use cases, providing organizations with cost-effective, scalable, and flexible computing resources to support their needs. Therefore, businesses, research institutions, and educational organizations drive the adoption of cloud computing. Mainly cloud is the most affordable environment for executing scientific workflow applications. These applications demand high computing power and need to run for long times to complete. The cost and energy associated with workflows operating in data centers are significant, making it an important research topic in recent years. Achieving optimal scheduling of workflows in a cloud data center is a challenging NP-hard problem. This paper presents an efficient heuristic to reduce energy utilization in data centers while executing workflow applications without sacrificing performance. The proposed algorithm was evaluated using the WorkflowSim toolkit and benchmarked with various scientific workflows. The experiments’ results demonstrate the proposed algorithm's effectiveness in optimizing energy consumption.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_53
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_53How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Medara Rambabu
AU  - Robin Kurana
AU  - K. Praveen Kumar
AU  - Srinivasa Rao Bendi
PY  - 2023
DA  - 2023/11/09
TI  - Workflow Scheduling Algorithm for Budget Constraint Green Cloud Computing
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 505
EP  - 515
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_53
DO  - 10.2991/978-94-6463-252-1_53
ID  - Rambabu2023
ER  -