JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
A Load-Balancing Approach Using an Improved Simulated Annealing Algorithm |
| 영문제목(English Title) |
A Load-Balancing Approach Using an Improved Simulated Annealing Algorithm |
| 저자(Author) |
Mohamed Hanine
El-Habib Benlahmar
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| 원문수록처(Citation) |
VOL 16 NO. 01 PP. 0132 ~ 0144 (2020. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Cloud computing is an emerging technology based on the concept of enabling data access from anywhere, at any time, from any platform. The exponential growth of cloud users has resulted in the emergence of multiple issues, such as the workload imbalance between the virtual machines (VMs) of data centers in a cloud environment greatly impacting its overall performance. Our axis of research is the load balancing of a data center’s VMs. It aims at reducing the degree of a load’s imbalance between those VMs so that a better resource utilization will be provided, thus ensuring a greater quality of service. Our article focuses on two phases to balance the workload between the VMs. The first step will be the determination of the threshold of each VM before it can be considered overloaded. The second step will be a task allocation to the VMs by relying on an improved and faster version of the meta-heuristic “simulated annealing (SA)”. We mainly focused on the acceptance probability of the SA, as, by modifying the content of the acceptance probability, we could ensure that the SA was able to offer a smart task distribution between the VMs in fewer loops than a classical usage of the SA.
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| 키워드(Keyword) |
Cloud Computing
Load Balancing
Quality of Service
Simulated Annealing
Virtual Machine
Workload
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| 파일첨부 |
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