JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
An Intelligent Residual Resource Monitoring Scheme in Cloud Computing Environments |
| 영문제목(English Title) |
An Intelligent Residual Resource Monitoring Scheme in Cloud Computing Environments |
| 저자(Author) |
JongBeom Lim
HeonChang Yu
and Joon-Min Gil
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| 원문수록처(Citation) |
VOL 14 NO. 06 PP. 1480 ~ 1493 (2018. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Recently, computational intelligence has received a lot of attention from researchers due to its potential applications to artificial intelligence. In computer science, computational intelligence refers to a machine’s ability to learn how to compete various tasks, such as making observations or carrying out experiments. We adopted a computational intelligence solution to monitoring residual resources in cloud computing environments. The proposed residual resource monitoring scheme periodically monitors the cloud-based host machines, so that the post migration performance of a virtual machine is as consistent with the pre-migration performance as possible. To this end, we use a novel similarity measure to find the best target host to migrate a virtual machine to. The design of the proposed residual resource monitoring scheme helps maintain the quality of service and service level agreement during the migration. We carried out a number of experimental evaluations to demonstrate the effectiveness of the proposed residual resource monitoring scheme. Our results show that the proposed scheme intelligently measures the similarities between virtual machines in cloud computing environments without causing performance degradation, whilst preserving the quality of service and service level agreement.
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| 키워드(Keyword) |
Cloud Computing
Clustering
Computational Intelligence
Resource Monitoring
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| 파일첨부 |
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