Earticle

초록

영어

As more and more Cloud systems are designed and deployed in business and science engineering areas, how to evaluate and monitor the system’s runtime performance is becoming an important issue. However, few efforts are taken to address such an issue because the resources in Cloud systems often owned by different institutes. In this paper, we present an integrated performance evaluation framework, which is aiming to provide cloud users an easy-to-use toolkit to evaluate their system’s runtime performance, or compare the performance under different resource management policies. The design and implementation of our framework is highly extensible and re-useable in most existing cloud systems. Currently, the prototype of our implementation is examined by a series of experiments, and the results indicate that its configurable feature is very useful when users are conducting performance comparing under different contexts.

목차

Abstract
 1. Introduction
 2. Related Work
 3. System Framework
  3.1. Architecture
  3.2. Evaluation Procedure
  3.3. Performance Profiling Model
 4. Experiments and Performance Evaluation
  4.1. Effects of VM Management Policy on Performance
  4.2. Effects of Scheduling Algorithm on Performance
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Peng Xiao [ College of Computer and Information Science, Hunan Institute of Engineering ]
• Hui Lin [ College of Information Science and Engineering, Technical University of Munich ]

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