Analysis of Cloud Environment Using CloudSim

被引:5
|
作者
Singh, D. Asir Antony Gnana [1 ]
Priyadharshini, R. [1 ]
Leavline, E. Jebamalar [2 ]
机构
[1] Anna Univ, Dept Comp Sci & Engn, BIT Campus, Tiruchirappalli, India
[2] Anna Univ, Dept Elect & Commun Engn, BIT Campus, Tiruchirappalli, India
关键词
Cloud computing; Data center; Host; Virtual machine; CloudSim; Performance analysis;
D O I
10.1007/978-981-10-7868-2_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing is a thirst area of research since it provides very important services such as platform as a service (PaaS), infrastructure as a service (IaaS), mobile "backend" as a service (MBaaS), software as a service (SaaS) in the computing and communication environment. Improving the performance of these services is a major challenge being addressed by many researchers. In the recent past, the cloud environment is set up by the service providers and the service is provided to the user in on-demand basis. The quality of the services provided by cloud computing highly depends on the performance of the cloud computing setup or environment (cloud setup). Developing the real cloud environment and evaluating their performance is impractical as it requires huge investment. Hence, researchers use simulation tools to evaluate the performance of cloud computing before constructing the cloud. The CloudSim is a cloud simulation tool for modeling and simulating the cloud computing environment. This paper presents a performance analysis of cloud computing environment using CloudSim.
引用
收藏
页码:325 / 333
页数:9
相关论文
共 50 条
  • [21] Power Supply Cloudsim: An Extension of CloudSim for Modeling and Simulation of Power Supply Devices in Cloud Data Centers
    Ye, Guisen
    Wang, Huaying
    Li, Yong
    Wang, Zhengyi
    Gao, Feng
    [J]. 2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022), 2022, : 1620 - 1626
  • [22] Forensic Analysis Using Migration in Cloud Computing Environment
    Zhou, Gang
    Cao, Qiang
    Mai, Yonghao
    [J]. INFORMATION AND MANAGEMENT ENGINEERING, PT VI, 2011, 236 : 417 - +
  • [23] A toolkit for modeling and simulating cloud data storage: an extension to CloudSim
    Long, Saiqin
    Zhao, Yuelong
    [J]. 2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012), 2012, : 597 - 600
  • [24] Exploiting CloudSim in a multiformalism modeling approach for cloud based systems
    Barbierato, Enrico
    Gribaudo, Marco
    Iacono, Mauro
    Jakobik, Agnieszka
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2019, 93 : 133 - 147
  • [25] Modifying CloudSim to accurately simulate interactive services for cloud autoscaling
    Vondra, T.
    Sedivy, J.
    Castro, J. M.
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 29 (10):
  • [26] Concurrent Processing of Cloudlets in CloudSim-SimIoT Environment
    Akilandeswari, P.
    Vennila, B.
    Srimathi, H.
    [J]. 11TH NATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS, 2019, 2112
  • [27] CM Cloud Simulator: A Cost Model Simulator Module for Cloudsim
    Alves, Diego Cardoso
    Batista, Bruno Guazzelli
    Leite Filho, Dionisio Machado
    Peixoto, Maycon Leone
    Reiff-Marganiec, Stephan
    Kuehne, Bruno Tardiole
    [J]. PROCEEDINGS 2016 IEEE WORLD CONGRESS ON SERVICES - SERVICES 2016, 2016, : 99 - 102
  • [28] Integrating OpenAI Gym and CloudSim Plus: A simulation environment for DRL Agent training in energy-driven cloud scaling
    Jawaddi, Siti Nuraishah Agos
    Ismail, Azlan
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2024, 130
  • [29] Generic input template for cloud simulators: A case study of CloudSim
    Jammal, Manar
    Hawilo, Hassan
    Kanso, Ali
    Shami, Abdallah
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2019, 49 (05): : 720 - 747
  • [30] Power Consumption Analysis across Heterogeneous Data Center Using Cloudsim
    Rawat, Pradeep Singh
    Dimri, Priti
    Saroha, G. P.
    Barthwal, Varun
    [J]. PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 1 - 5