LGDCloudSim: A resource management simulation system for large-scale geographically distributed cloud data center scenarios

被引:0
|
作者
Liu, Jiawen [1 ]
Xu, Yuehao [1 ]
Feng, Binbin [1 ]
Ding, Zhijun [1 ,2 ]
机构
[1] Tongji Univ, Dept Comp Sci & Technol, Shanghai, Peoples R China
[2] Shanghai Artificial Intelligence Lab, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
large-scale cloud; geographically distributed data centers; cloud simulation system; resource management; scheduling architecture; ALLOCATION; ALGORITHMS;
D O I
10.1109/CLOUD62652.2024.00031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current IaaS providers have deployed data centers worldwide, with resources continually increasing. Meanwhile, there is a rising trend in the concurrency of user requests and the diversity of user request types. To achieve better resource allocation, various complex scheduling architectures have been proposed. However, due to the challenges associated with real-world experiments, simulation systems are needed to build experimental environments for related research. As existing systems do not perform well enough, we construct LGDCloudSim. It is designed with full consideration of the characteristics of the largescale geographically distributed cloud data center scenarios. To support large-scale simulations, we propose state management optimization and operation process optimization methods. Experiments show that LGDCloudSim can simulate up to 5x10(8) hosts and 107 request concurrency. It also supports diverse scheduling architectures and different request types.
引用
收藏
页码:194 / 204
页数:11
相关论文
共 50 条
  • [11] Large-scale lake simulation techniques applied to water resource management system
    Tang, Junjian
    DESALINATION AND WATER TREATMENT, 2018, 121 : 134 - 138
  • [12] Distributed and heuristic policy-based resource management system for large-scale Grids
    Magana, Edgar
    Serrat, Joan
    INTER-DOMAIN MANAGEMENT, PROCEEDINGS, 2007, 4543 : 184 - +
  • [13] Watchdog – a workflow management system for the distributed analysis of large-scale experimental data
    Michael Kluge
    Caroline C. Friedel
    BMC Bioinformatics, 19
  • [14] Watchdog - a workflow management system for the distributed analysis of large-scale experimental data
    Kluge, Michael
    Friedel, Caroline C.
    BMC BIOINFORMATICS, 2018, 19
  • [15] SimIC: Designing a new Inter-Cloud Simulation platform for integrating large-scale resource management
    Sotiriadis, Stelios
    Bessis, Nik
    Antonopoulos, Nick
    Anjum, Ashiq
    2013 IEEE 27TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 2013, : 90 - 97
  • [16] Harmony: Integrated Resource and Reputation Management for Large-Scale Distributed Systems
    Shen, Haiying
    Liu, Guoxin
    2011 20TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN), 2011,
  • [17] Using Data Accessibility for Resource Selection in Large-Scale Distributed Systems
    Kim, Jinoh
    Chandra, Abhishek
    Weissman, Jon B.
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2009, 20 (06) : 788 - 801
  • [18] Remote Attestation of Large-scale Virtual Machines in the Cloud Data Center
    Chene, Jie
    Zhang, Kun
    Tu, Bibo
    2021 IEEE 20TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2021), 2021, : 180 - 187
  • [19] A CLOUD-BASED LARGE-SCALE DISTRIBUTED VIDEO ANALYSIS SYSTEM
    Wang, Yongzhe
    Chen, Wei-Ta
    Wu, Huahui
    Kokaram, Anil
    Schaeffer, Jaron
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 1499 - 1503
  • [20] Large-scale similarity data management with distributed Metric Index
    Novak, David
    Batko, Michal
    Zezula, Pavel
    INFORMATION PROCESSING & MANAGEMENT, 2012, 48 (05) : 855 - 872