Determining Resource Utilization in Cloud Systems: An Analytical Algorithm for IaaS Architecture

被引:1
|
作者
Hanczewski, Slawomir [1 ]
Stasiak, Maciej [1 ]
Weissenberg, Michal [1 ]
机构
[1] Poznan Univ Tech, Fac Comp & Telecommun, PL-60965 Poznan, Poland
关键词
cloud computing; IaaS; use of resources analytical modelling; BLOCKING;
D O I
10.1109/CONTEL58387.2023.10199064
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Cloud systems have become a key element in today's ICT systems. One solution in this area is to build systems based on IaaS architecture, in which user-dedicated virtual machines are created on available physical devices. When building such systems, it is essential to ensure optimal utilization of individual resources such as RAM, disk, processor, and available bandwidth while limiting their overuse, which can negatively impact the machine's lifespan. Moreover, it is crucial to avoid situations in which some parameters are underutilized while others are highly loaded. Therefore, the authors have developed an analytical algorithm to determine the average utilization of individual component resources of the system during its operation. The proposed analytical algorithm's results were compared with the results obtained through digital simulation of a cloud system based on the IaaS architecture. The proposed algorithm can successfully optimize the system design to ensure appropriate utilization of all its components in the future.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] An Analytical Model of IaaS Architecture for Determining Resource Utilization
    Hanczewski, Slawomir
    Stasiak, Maciej
    Weissenberg, Michal
    [J]. SENSORS, 2024, 24 (09)
  • [2] An Efficient Resource Allocation Algorithm for IaaS Cloud
    Panda, Sanjaya K.
    Jana, Prasanta K.
    [J]. DISTRIBUTED COMPUTING AND INTERNET TECHNOLOGY, ICDCIT 2015, 2015, 8956 : 351 - 355
  • [3] FCM: an Architecture for Integrating IaaS Cloud Systems
    Marosi, Attila Csaba
    Kecskemeti, Gabor
    Kertesz, Attila
    Kacsuk, Peter
    [J]. CLOUD COMPUTING 2011: THE SECOND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, GRIDS, AND VIRTUALIZATION, 2011, : 7 - 12
  • [4] Towards Providing Resource Management in a Local IaaS Cloud Architecture
    Brummett, Travis
    Galloway, Michael
    [J]. INFORMATION TECHNOLOGY: NEW GENERATIONS, 2016, 448 : 413 - 423
  • [5] Retraction Note to: Cloud management architecture to improve the resource allocation in cloud IAAS platform
    J. Srinivasan
    C. Suresh Gnana Dhas
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (Suppl 1) : 7 - 7
  • [6] RETRACTED ARTICLE: Cloud management architecture to improve the resource allocation in cloud IAAS platform
    J. Srinivasan
    C. Suresh Gnana Dhas
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2021, 12 : 5397 - 5404
  • [7] A Load Feedback based Resource Scheduling Algorithm for IaaS Cloud Platform
    Wang, Bingxu
    Tao, Dan
    Lin, Zhaowen
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2016, : 133 - 134
  • [8] Adaptive Resource Provisioning and Scheduling Algorithm for Scientific Workflows on IaaS Cloud
    Rajasekar P.
    Palanichamy Y.
    [J]. SN Computer Science, 2021, 2 (6)
  • [9] Resource-aware virtual machine placement algorithm for IaaS cloud
    Gupta, Madnesh K.
    Amgoth, Tarachand
    [J]. JOURNAL OF SUPERCOMPUTING, 2018, 74 (01): : 122 - 140
  • [10] RETRACTED: Cloud management architecture to improve the resource allocation in cloud IAAS platform (Retracted Article)
    Srinivasan, J.
    Dhas, C. Suresh Gnana
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (05) : 5397 - 5404