Optimizing cross traffic with an adaptive CDN replica placement strategy

  • Authors:
  • Moises Rodrigues;Andre Moreira;Marcio Neves;Ernani Azevêdo;Djamel Sadok;Arthur Callado;Victor Souza

  • Affiliations:
  • Network and Telecommunications Research Group - GPRT Recife, Pernambuco, Brazil;Network and Telecommunications Research Group - GPRT Recife, Pernambuco, Brazil;Network and Telecommunications Research Group - GPRT Recife, Pernambuco, Brazil;Network and Telecommunications Research Group - GPRT Recife, Pernambuco, Brazil;Network and Telecommunications Research Group - GPRT Recife, Pernambuco, Brazil;UFC Quixadá, Brazil;Ericsson Research Kista, Stockholm, Sweden

  • Venue:
  • Proceedings of the 46th Annual Simulation Symposium
  • Year:
  • 2013

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Abstract

Content Distribution Networks (CDN) are a popular technology used to deliver content and have attracted great interest in recent years. CDNs place content replicas closer to end users by geographically distributing replica servers. One important research point concerning the CDN universe concerns decisions about where replica servers should be placed. Algorithms that try to tackle this problem are Replica Placement Algorithms (RPA). In this paper we propose a new dynamic RPA strategy, very similar to the Greedy strategy, based on the count of data flows through network nodes. Our experiments show better results using the proposed Flow Count Strategy than using Greedy or Hotspot algorithms when considering cross traffic with a similar quality of experience. Also, the obtained results show that Flow Count seems to place replica servers more efficiently during local flash crowd events.