논문 인용하기
각 논문마다 생성되어 있는 BibTeX를 사용하시면 자신이 원하는 스타일의 인용 문구를 생성할 수 있습니다.
생성된 BibTeX 코드를 복사하여 BibTeX Parser를 사용해 일반 문자열로 바꾸십시오. 아래의 사이트와 같이 웹에서 변환할 수도 있습니다.
2022
1.
Lee, Seungjun; Jeong, Minjoong; Oh, Sangyoon
Is Ant Colony System better than FFD for VM placement in a heterogeneous cluster? Conference
2022 IEEE International Conference on Cloud Engineering (IC2E), 2022, ISBN: 978-1-6654-9116-7.
Abstract | Links | BibTeX | 태그: ant colony system, cloud computing, resource efficiency, VM placement
@conference{Seungjun2022Ant,
title = {Is Ant Colony System better than FFD for VM placement in a heterogeneous cluster?},
author = {Seungjun Lee and Minjoong Jeong and Sangyoon Oh},
url = {https://ieeexplore.ieee.org/document/9946320},
doi = {10.1109/IC2E55432.2022.00038},
isbn = {978-1-6654-9116-7},
year = {2022},
date = {2022-09-22},
urldate = {2022-06-11},
booktitle = {2022 IEEE International Conference on Cloud Engineering (IC2E)},
pages = {277-278},
abstract = {First fit decreasing (FFD) is the most popular heuristic for virtual machine (VM) placement problems. However, FFD does not perform well in a heterogeneous cluster environment in which physical machines have different capacities. Moreover, FFD and other heuristics, such as best fit decreasing (BFD), do not effectively handle the VM placement problem if multiple resources are considered together. In this study, we analyze the reason why the ant colony system performs better than FFD for VM placement in a heterogeneous cluster. We verified our logical observations through experimental comparisons with other heuristics.},
keywords = {ant colony system, cloud computing, resource efficiency, VM placement},
pubstate = {published},
tppubtype = {conference}
}
First fit decreasing (FFD) is the most popular heuristic for virtual machine (VM) placement problems. However, FFD does not perform well in a heterogeneous cluster environment in which physical machines have different capacities. Moreover, FFD and other heuristics, such as best fit decreasing (BFD), do not effectively handle the VM placement problem if multiple resources are considered together. In this study, we analyze the reason why the ant colony system performs better than FFD for VM placement in a heterogeneous cluster. We verified our logical observations through experimental comparisons with other heuristics.