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EC2 Performance Analysis for Resource Provisioning of Service-Oriented Applications

  • Jiang Dejun
  • Guillaume Pierre
  • Chi-Hung Chi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6275)

Abstract

Cloud computing is receiving increasingly attention as it provides infinite resource capacity and “pay-as-you-go” resource usage pattern to hosted applications. To maintain its SLA targets, resource provisioning of service-oriented applications in the cloud requires reliable performance from the cloud resources. In this paper, we study performance behavior of small instances in Amazon EC2. We demonstrate that the performance of virtual instances is relatively stable over time with fluctuations of mean response time within at most 8% of the long-term average. Moreover, we also show that different supposedly identical instances often have very different performance, up to a ratio 4 from each other. We consider this as an important issue that must be addressed, but also as an opportunity as it allows one to assign each instance with a task that matches its own performance profile.

Keywords

Cloud Computing Virtual Machine Performance Behavior Small Instance Performance Homogeneity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jiang Dejun
    • 1
    • 2
  • Guillaume Pierre
    • 1
  • Chi-Hung Chi
    • 2
  1. 1.VU University AmsterdamNetherlands
  2. 2.Tsinghua University BeijingChina

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