CloudGPS: a scalable and ISP-friendly server selection scheme in cloud computing environments

  • Authors:
  • Cong Ding;Yang Chen;Tianyin Xu;Xiaoming Fu

  • Affiliations:
  • University of Goettingen, Germany;Duke University;U.C. San Diego;University of Goettingen, Germany

  • Venue:
  • Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
  • Year:
  • 2012

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Abstract

In order to minimize user perceived latency while ensuring high data availability, cloud applications desire to select servers from one of the multiple data centers (i.e., server clusters) in different geographical locations, which are able to provide desired services with low latency and low cost. This paper presents CloudGPS, a new server selection scheme of the cloud computing environment that achieves high scalability and ISP-friendliness. CloudGPS proposes a configurable global performance function that allows Internet service providers (ISPs) and cloud service providers (CSPs) to leverage the cost in terms of inter-domain transit traffic and the quality of service in terms of network latency. CloudGPS bounds the overall burden to be linear with the number of end users. Moreover, compared with traditional approaches, CloudGPS significantly reduces network distance measurement cost (i.e., from O(N) to O(1) for each end user in an application using N data centers). Furthermore, CloudGPS achieves ISP-friendliness by significantly decreasing inter-domain transit traffic.