Kookaburra-Walrus Multi-Objective Task Scheduling Algorithm -A Survey

Babeetta Bbhagat; Sushma Mehetre; Swati Powar; Priyanka Fernandes

doi:10.2991/978-94-6463-978-0_49

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Kookaburra-Walrus Multi-Objective Task Scheduling Algorithm -A Survey

Authors

Babeetta Bbhagat¹^{, *}, Sushma Mehetre¹, Swati Powar¹, Priyanka Fernandes²

¹CSE, MIT SOC, MIT Art, Design & Technology, Pune, India

²IT, FAMT, Ratnagiri, India

^*Corresponding author. Email: babitas12@gmail.com

Corresponding Author

Babeetta Bbhagat

Available Online 31 December 2025.

DOI: 10.2991/978-94-6463-978-0_49 How to use a DOI?
Keywords: Cloud computing; Task scheduling; Resource allocation; Virtual machines (VMs); Scheduling algorithms; Dynamic environments; Efficiency; Robustness
Abstract: This work examines the crucial problem of task scheduling in cloud computing, where cost-effectiveness and service quality depend on good resource allocation. Although cloud computing offers scalable and adaptable on-demand services, work scheduling is challenging due to these environments’ dynamic nature. The study highlights the necessity for dynamic techniques to overcome the limitations of conventional static scheduling algorithms. In the end, it concentrates on investigating methods meant to improve work scheduling’s effectiveness and resilience in cloud computing systems. While changing the amount of detail and attention, I have attempted to convey the main ideas of the introduction. Select the one that most closely matches your paper’s particular requirements.
Copyright: © 2025 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 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series: Advances in Engineering Research
Publication Date: 31 December 2025
ISBN: 978-94-6463-978-0
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-978-0_49 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Babeetta Bbhagat
AU  - Sushma Mehetre
AU  - Swati Powar
AU  - Priyanka Fernandes
PY  - 2025
DA  - 2025/12/31
TI  - Kookaburra-Walrus Multi-Objective Task Scheduling Algorithm -A Survey
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 578
EP  - 590
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_49
DO  - 10.2991/978-94-6463-978-0_49
ID  - Bbhagat2025
ER  -

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