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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| Format: | Article |
| Language: | English |
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REA Press
2023-06-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_172461_8b3f5ed9480067d9d352de571731d264.pdf |
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| author | Aziza Algarni |
| author_facet | Aziza Algarni |
| author_sort | Aziza Algarni |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2f389376e1414e4893d066b3406c6fc7 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2023-06-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-2f389376e1414e4893d066b3406c6fc72025-01-30T12:22:49ZengREA PressBig Data and Computing Visions2783-49562821-014X2023-06-0132505410.22105/bdcv.2023.391747.1117172461Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithmsAziza Algarni0Department of Preparatory Year–Basic Sceinces, Umm Al-Qura University, Makkah, Saudi Arabia.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.https://www.bidacv.com/article_172461_8b3f5ed9480067d9d352de571731d264.pdfcloud computingalgorithmscomputer sciencesoftware engineering |
| spellingShingle | Aziza Algarni Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms Big Data and Computing Visions cloud computing algorithms computer science software engineering |
| title | Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms |
| title_full | Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms |
| title_fullStr | Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms |
| title_full_unstemmed | Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms |
| title_short | Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms |
| title_sort | efficient task scheduling for cloud computing a comparative survey of state of the art algorithms |
| topic | cloud computing algorithms computer science software engineering |
| url | https://www.bidacv.com/article_172461_8b3f5ed9480067d9d352de571731d264.pdf |
| work_keys_str_mv | AT azizaalgarni efficienttaskschedulingforcloudcomputingacomparativesurveyofstateoftheartalgorithms |