Locally self-adjusting tree networks

Chen Avin, Bernhard Haeupler, Zvi Lotker, Christian Scheideler, Stefan Schmid

Research output: Contribution to conferencePaperpeer-review


This paper initiates the study of self-adjusting networks (or distributed data structures) whose topologies dynamically adapt to a communication pattern σ. We present a fully decentralized self-adjusting solution called SplayNet. A SplayNet is a distributed generalization of the classic splay tree concept. It ensures short paths (which can be found using local-greedy routing) between communication partners while minimizing topological rearrangements. We derive an upper bound for the amortized communication cost of a SplayNet based on empirical entropies of σ, and show that SplayNets have several interesting convergence properties. For instance, SplayNets features a provable online optimality under special requests scenarios. % and multicast tree scenarios We also investigate the optimal static network and prove different lower bounds for the average communication cost based on graph cuts and on the empirical entropy of the communication pattern σ. From these lower bounds it follows, e.g., that SplayNets are optimal in scenarios where the requests follow a product distribution as well. Finally, this paper shows that in contrast to the Minimum Linear Arrangement problem which is generally NP-hard, the optimal static tree network can be computed in polynomial time for any guest graph, despite the exponentially large graph family. We complement our formal analysis with a small simulation study on a Facebook graph.

Original languageAmerican English
Number of pages12
StatePublished - 7 Oct 2013
Event27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013 - Boston, MA, United States
Duration: 20 May 201324 May 2013


Conference27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013
Country/TerritoryUnited States
CityBoston, MA


  • competitive analysis
  • self-organizing networks
  • splay trees

All Science Journal Classification (ASJC) codes

  • Software


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