Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms
Publish place: Big Data and Computing Visions، Vol: 3، Issue: 2
Publish Year: 1402
Type: Journal paper
Language: English
View: 134
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Document National Code:
JR_BDCV-3-2_003
Index date: 28 August 2023
Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms abstract
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.
Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms Keywords:
Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms authors
Aziza Algarni
Department of Preparatory Year–Basic Sceinces, Umm Al-Qura University, Makkah, Saudi Arabia.
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