Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms
Cloud computing is an essential tool for sharing resources across virtual machines, and it relies on scheduling and load balancing to ensure that tasks are assigned to the most appropriate resources. Multiple independent tasks need to be handled by cloud computing, and static and dynamic scheduling...
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Main Author: | |
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Format: | Article |
Language: | English |
Published: |
REA Press
2023-06-01
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Series: | Big Data and Computing Visions |
Subjects: | |
Online Access: | https://www.bidacv.com/article_172461_8b3f5ed9480067d9d352de571731d264.pdf |
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Summary: | Cloud computing is an essential tool for sharing resources across virtual machines, and it relies on scheduling and load balancing to ensure that tasks are assigned to the most appropriate resources. Multiple independent tasks need to be handled by cloud computing, and static and dynamic scheduling plays a crucial role in allocating tasks to the right resources. This is especially important in heterogeneous environments, where algorithms can improve load balancing and enhance cloud computing's efficiency. This paper aims to evaluate and discuss algorithms that can improve load balancing in cloud systems. |
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ISSN: | 2783-4956 2821-014X |