Performance Analysis of Cloud-Based Application

被引:1
作者
Budai, Peter [1 ]
Goldschmidt, Balazs [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Control Engn & Informat, Budapest, Hungary
来源
LARGE-SCALE SCIENTIFIC COMPUTING, LSSC 2013 | 2014年 / 8353卷
关键词
Cloud computing; Performance analysis; Load generation; Test framework; FRAMEWORK;
D O I
10.1007/978-3-662-43880-0_54
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing, and IaaS cloud services in particular suit well to resource-intensive applications by offering on-demand allocation of computing power, storage space and network bandwidth together with pay-as-you-go billing system. Typical cloud applications consist of several interdependent components, all residing on one or more dedicated virtual computers. In order to be able to accurately estimate the resource requirements of a specific component, one must carry out detailed performance analysis. In this paper, we present the general concepts and pitfalls of performance analysis in the cloud environment. Then we present a lightweight distributed framework that is capable of generating load to and collecting performance metrics from the component instances. The capabilities of our framework will be demonstrated on a case study of the scalability analysis of a distributed MySQL relational database management system.
引用
收藏
页码:476 / 483
页数:8
相关论文
共 8 条
  • [1] [Anonymous], 2008, Philippine Rats: Ecology and Management, DOI DOI 10.1109/SC.2008.5217932
  • [2] [Anonymous], WILEY SERIES PARALLE
  • [3] Binzenhöfer A, 2006, LECT NOTES COMPUT SC, V3883, P198
  • [4] CLIF, a framework based on Fractal for flexible, distributed load testing
    Dillenseger, Bruno
    [J]. ANNALES DES TELECOMMUNICATIONS-ANNALS OF TELECOMMUNICATIONS, 2009, 64 (1-2): : 101 - 120
  • [5] DiPerF: an automated distributed performance testing framework
    Dumitrescu, C
    Raicu, L
    Ripeanu, M
    Foster, I
    [J]. FIFTH IEEE/ACM INTERNATIONAL WORKSHOP ON GRID COMPUTING, PROCEEDINGS, 2004, : 289 - 296
  • [6] Ostermann S, 2010, L N INST COMP SCI SO, V34, P115
  • [7] Raicu I., 2006, J GRID COMPUT, V4, P287, DOI DOI 10.1007/S10723-006-9037-5
  • [8] Vecchiola C, 2009, 2009 10TH INTERNATIONAL SYMPOSIUM ON PERVASIVE SYSTEMS, ALGORITHMS, AND NETWORKS (ISPAN 2009), P4, DOI 10.1109/I-SPAN.2009.150