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2022
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}
}
2021
오도현,; 오상윤,
컨테이너 기반 엣지-클라우드 협업 구조의 공군 C4I 체계 적용 Conference
2021 한국소프트웨어종합학술대회, 2021.
Abstract | Links | BibTeX | 태그: cloud computing, container, edge computing
@conference{오도현2021컨테이너,
title = {컨테이너 기반 엣지-클라우드 협업 구조의 공군 C4I 체계 적용},
author = {오도현 and 오상윤},
url = {https://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE11035600&mark=0&useDate=&ipRange=N&accessgl=Y&language=ko_KR&hasTopBanner=true},
year = {2021},
date = {2021-11-26},
urldate = {2021-11-26},
booktitle = {2021 한국소프트웨어종합학술대회},
abstract = {ICT의 발전은 컴퓨터와 인터넷을 기반으로 한 정보화 시대를 이끌었고, 이는 21세기 들어 더욱 발전하고 있으며, 국방분야에도 폭넓게 적용되고 있다. 공군 C4I 체계는 Sensor-to-Shooter를 핵심 개념으로 하는 네트워크 중심전(NCW)을 가능하게 하는 핵심 체계이나, 정보제공 수준의 역할을 하는데 머물러 있는 것이 현실이다. 본 논문에서는 컨테이너 기반 엣지-클라우드 협업 구조를 공군 C4I 체계에 적용하는 방안을 제안 한다. 제안방안은 전장에서 발생하는 이종·대량의 데이터의 신속·정확한 처리를 통한 지휘결심 지원과 task 스케줄링, 효율적인 자원관리와 더불어 제공되는 서비스의 효율적인 개발, 테스트, 배포 및 관리 등을 기대한다.},
keywords = {cloud computing, container, edge computing},
pubstate = {published},
tppubtype = {conference}
}
Zhu, Jiang; Wang, Lizan; Xie, Guoqi; Pei, Tingrui; Oh, Sangyoon; Li, Zhetao
A low redundancy and high time efficiency large-scale task assignment strategy for heterogeneous service-oriented cloud computing systems Journal Article
In: The Journal of Supercomputing, vol. 77, no. 4, pp. 3450–3483, 2021.
Links | BibTeX | 태그: cloud computing, fault tolerance, heterogeneous environment
@article{zhu2021low,
title = {A low redundancy and high time efficiency large-scale task assignment strategy for heterogeneous service-oriented cloud computing systems},
author = {Jiang Zhu and Lizan Wang and Guoqi Xie and Tingrui Pei and Sangyoon Oh and Zhetao Li},
url = {https://link.springer.com/article/10.1007/s11227-020-03403-x},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {The Journal of Supercomputing},
volume = {77},
number = {4},
pages = {3450--3483},
publisher = {Springer},
keywords = {cloud computing, fault tolerance, heterogeneous environment},
pubstate = {published},
tppubtype = {article}
}
2020
Yoon, Daegun; Park, Gyudong; Oh, Sangyoon
2020 IEEE International Conference on Big Data and Smart Computing (BigComp), IEEE 2020, ISBN: 978-1-7281-6034-4.
Links | BibTeX | 태그: cloud computing, correlation, correlation coefficient, data centers, indexes, servers, throughput
@conference{yoon2020cpartition,
title = {CPartition: a Correlation-Based Space Partitioning for Content-Based Publish/Subscribe Systems with Skewed Workload},
author = {Daegun Yoon and Gyudong Park and Sangyoon Oh},
url = {https://ieeexplore.ieee.org/abstract/document/9070640},
doi = {10.1109/BigComp48618.2020.00-46},
isbn = {978-1-7281-6034-4},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {2020 IEEE International Conference on Big Data and Smart Computing (BigComp)},
pages = {377--384},
organization = {IEEE},
keywords = {cloud computing, correlation, correlation coefficient, data centers, indexes, servers, throughput},
pubstate = {published},
tppubtype = {conference}
}