Locality-aware process placement for parallel and distributed simulation in cloud data centers
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s11227-019-02973-9.pdf
Reference28 articles.
1. Chen T, Zhu Y, Gao X, Kong L, Chen G, Wang Y (2018) Improving resource utilization via virtual machine placement in data center networks. Mob Netw Appl 23(2):227–238
2. Dai X, Wang JM, Bensaou B (2014) Energy-efficient virtual machine placement in data centers with heterogeneous requirements. In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet). IEEE, pp 161–166
3. D’Angelo G (2011) Parallel and distributed simulation from many cores to the public cloud. In: 2011 International Conference on High Performance Computing and Simulation. IEEE, pp 14–23
4. Dong JK, Wang HB, Li YY, Cheng SD (2014) Virtual machine placement optimizing to improve network performance in cloud data centers. J China Univ Posts Telecommun 21(3):62–70
5. Duong-Ba TH, Nguyen T, Bose B, Tran TT (2018) A dynamic virtual machine placement and migration scheme for data centers. IEEE Trans Serv Comput. https://doi.org/10.1109/TSC.2018.2817208
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Understanding the Impact of Arbitration in MZI-Based Beneš Switching Fabrics;IEEE Transactions on Parallel and Distributed Systems;2024-02
2. A distributed tracing pipeline for improving locality awareness of microservices applications;Software: Practice and Experience;2024-02
3. A Novel Simulation Methodology for Silicon Photonic Switching Fabrics;2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS);2023-04
4. A pricing approach for optimal use of computing resources in cloud federation;The Journal of Supercomputing;2022-08-29
5. A Workflow Architecture for Cloud-based Distributed Simulation;ACM Transactions on Modeling and Computer Simulation;2022-03-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3