CloudAnalyst: A CloudSim-based Visual Modeller for Analysing Cloud Computing Environments and Applications

被引:248
|
作者
Wickremasinghe, Bhathiya [1 ]
Calheiros, Rodrigo N. [2 ]
Buyya, Rajkumar [1 ]
机构
[1] Univ Melbourne, Dept Comp Sci & Software Engn, Cloud Comp & Distributed Syst CLOUDS Lab, Melbourne, Vic 3010, Australia
[2] Pontificia Univ Catolica Rio Grande do Sul, Porto Alegre, RS, Brazil
关键词
Cloud Computing; Modeling; Simulation;
D O I
10.1109/AINA.2010.32
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Advances in Cloud computing opens up many new possibilities for Internet applications developers. Previously, a main concern of Internet applications developers was deployment and hosting of applications, because it required acquisition of a server with a fixed capacity able to handle the expected application peak demand and the installation and maintenance of the whole software infrastructure of the platform supporting the application. Furthermore, server was underutilized because peak traffic happens only at specific times. With the advent of the Cloud, deployment and hosting became cheaper and easier with the use of pay-peruse flexible elastic infrastructure services offered by Cloud providers. Because several Cloud providers are available, each one offering different pricing models and located in different geographic regions, a new concern of application developers is selecting providers and data center locations for applications. However, there is a lack of tools that enable developers to evaluate requirements of large-scale Cloud applications in terms of geographic distribution of both computing servers and user workloads. To fill this gap in tools for evaluation and modeling of Cloud environments and applications, we propose CloudAnalyst. It was developed to simulate large-scale Cloud applications with the purpose of studying the behavior of such applications under various deployment configurations. CloudAnalyst helps developers with insights in how to distribute applications among Cloud infrastructures and value added services such as optimization of applications performance and providers incoming with the use of Service Brokers.
引用
收藏
页码:446 / 452
页数:7
相关论文
共 50 条
  • [1] CloudSim express: A novel framework for rapid low code simulation of cloud computing environments
    Hewage, Tharindu B.
    Ilager, Shashikant
    Rodriguez, Maria A.
    Buyya, Rajkumar
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2024, 54 (03): : 483 - 500
  • [2] CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
    Calheiros, Rodrigo N.
    Ranjan, Rajiv
    Beloglazov, Anton
    De Rose, Cesar A. F.
    Buyya, Rajkumar
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2011, 41 (01): : 23 - 50
  • [3] Computing cloud native model and simulation method based on CloudSim for power system
    Chen, Yuanju
    Liu, Yuanyuan
    Zhang, Yanxu
    Cai, Yu
    Hu, Chunchao
    Cai, Zexiang
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (09): : 189 - 196
  • [4] Clouds in the Cloud: Weather Forecasts and Applications within Cloud Computing Environments
    Molthan, Andrew L.
    Case, Jonathan L.
    Venner, Jason
    Schroeder, Richard
    Checchi, Milton R.
    Zavodsky, Bradley T.
    Limaye, Ashutosh
    O'Brien, Raymond G.
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2015, 96 (08) : 1369 - 1380
  • [5] A Study of Cloud Computing Environments for High Performance Applications
    Sajay, K. R.
    Babu, Suvanam Sasidhar
    [J]. PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DATA MINING AND ADVANCED COMPUTING (SAPIENCE), 2016, : 358 - 364
  • [6] A Fuzzy-Based Auto-scaler for Web Applications in Cloud Computing Environments
    Liu, Bingfeng
    Buyya, Rajkumar
    Toosi, Adel Nadjaran
    [J]. SERVICE-ORIENTED COMPUTING (ICSOC 2018), 2018, 11236 : 797 - 811
  • [7] PWCT: Visual Language for IoT and Cloud Computing Applications and Systems
    Fayed, Mahmoud S.
    Al-Qurishi, Muhammad
    Alamri, Atif
    Al-Daraiseh, Ahmad A.
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, DATA AND CLOUD COMPUTING (ICC 2017), 2017,
  • [8] Introduction to the Special Section on Visual Computing in the Cloud: Fundamentals and Applications
    Liu, Jiangchuan
    Zhu, Wenwu
    Ebrahimi, Touradj
    Apostolopoulos, J.
    Hua, X. -S.
    Wu, C.
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 25 (12) : 1885 - 1887
  • [9] A Particle Swarm Optimization-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments
    Pandey, Suraj
    Wu, Linlin
    Guru, Siddeswara Mayura
    Buyya, Rajkumar
    [J]. 2010 24TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 2010, : 400 - 407
  • [10] CloudAIBus: a testbed for AI based cloud computing environments
    Velu, Sasidharan
    Gill, Sukhpal Singh
    Murugesan, Subramaniam Subramanian
    Wu, Huaming
    Li, Xingwang
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (09): : 11953 - 11981