Earticle

초록

영어

Web application server cluster has been widely used to improve the performance of web application servers. Because web load is highly variable, we need to dynamically manage cluster’s deployment so as to reduce power consumption and meanwhile satisfy load performance demand. To facilitate researchers to evaluate a management strategy or choose key parameters for it, we propose a CloudSim-based simulation platform in this paper. It can simulate different cluster deployment algorithm, request scheduling algorithm and load feature, where cluster’s deployment includes the on/off state, CPU frequency and request scheduling parameter(s) of each server. By the aid of HookTimer component, the platform supports periodical and conditional deployment trigger modes, and can calculate some common performance indicators. The usage of interface, dynamic proxy technique and XML configuration file make the platform have good extensibility and configurability. In addition, a request-number-triggered management strategy is proposed and simulated by the platform. The simulation results demonstrate the feasibility of the platform.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Outline Design
  3.1. CloudSim Introduction
  3.2. Cluster Model
  3.3. Platform’s Overall Structure
 4. Detailed Design
  4.1. Interfaces
  4.2. HookTimer Component
  4.3. Misc Component
  4.4. Extensibility and Configurability
 5. The Implementation of Entity Components
  5.1. Request Generator
  5.2. Dispatcher
  5.3. Server Pool
 6. Management Strategy
  6.1. Request Number Thresholds
  6.2. Deployment Algorithm
  6.3. Request Scheduling Algorithm
 7. Simulation Tests
  7.1. Simulation Scenario
  7.2. Simulation Results and Analysis
 8. Conclusion
 References

키워드

저자

• Zhi Xiong [ Department of Computer Science and Technology, Shantou University, China ]
• Zhongliang Xue [ Department of Computer Science and Technology, Shantou University, China ]
• Weihong Cai [ Department of Computer Science and Technology, Shantou University, China ]
• Lingru Cai [ Department of Computer Science and Technology, Shantou University, China ]
• Juan Yang [ Department of Computer Science and Technology, Shantou University, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605