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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.23 No.3
- 발행연도
- 2023.9
- 수록면
- 353 - 364 (12page)
- DOI
- 10.5391/IJFIS.2023.23.3.353
이용수
초록· 키워드
오류제보하기
The massive growth in cloud users and applications has caused a tremendous increase in the number of virtual machine (VM) requests. Consequently, VM placement has become an important factor in the management of cloud datacenters and their resources. In this context, a new hybrid mechanism named simulated annealing-intelligent water drop cycle algorithm (SA-IWDCA) has been proposed that improves the computational efforts and convergence rate of the water cycle algorithm (WCA) to efficiently place VM in a heterogeneous cloud. WCA performs hybridization in two levels using preselection and memetic algorithms. In level one, an intelligent water drop (IWD) is invoked to generate and feed the initial VM solution to the WCA. At the second level, simulated annealing (SA) is used to improve the VM solution quality using neighborhood search and targeted approaches of temperature scheduling and acceptance probability. The proposed approach incorporates the energy consumption and resource management of datacenters, resulting in a minimum number of active servers and reduced resource dissipation. Extensive simulations and analysis using MATLAB showed that the SA-IWDCA performed significantly well and has shown an improvement of 25% in energy consumption and 20% in resource utilization as compared to other heuristic and metaheuristic approaches.
목차
Abstract
1. Introduction
2. Problem Formulation
3. Experiments
4. Conclusion
References
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