Dynamic service placement in geographically distributed clouds

Qi Zhang, Quanyan Zhu, Mohamed Faten Zhani, Raouf Boutaba

Research output: Contribution to conferencePaperpeer-review


Large-scale online service providers have been increasingly relying on geographically distributed cloud infrastructures for service hosting and delivery. In this context, a key challenge faced by service providers is to determine the locations where service applications should be placed such that the hosting cost is minimized while key performance requirements (e.g. response time) are assured. Furthermore, the dynamic nature of both demand pattern and infrastructure cost favors a dynamic solution to this problem. Currently most of the existing solutions for service placement have either ignored dynamics, or provided inadequate solutions that achieve both objectives at the same time. In this paper, we present a framework for dynamic service placement problems based on control- and game-theoretic models. In particular, we present a solution that optimizes the desired objective dynamically over time according to both demand and resource price fluctuations. We further consider the case where multiple service providers compete for resource in a dynamic manner, and show that there is a Nash equilibrium solution which is socially optimal. Using simulations based on realistic topologies, demand and resource prices, we demonstrate the effectiveness of our solution in realistic settings.

Original languageEnglish (US)
Number of pages10
StatePublished - 2012
Event32nd IEEE International Conference on Distributed Computing Systems, ICDCS 2012 - Macau, China
Duration: Jun 18 2012Jun 21 2012


Other32nd IEEE International Conference on Distributed Computing Systems, ICDCS 2012

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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