An oblivious spanning tree for single-sink buy-at-bulk in low doubling-dimension graphs

Srivathsan Srinivasagopalan, Costas Busch, S. S. Iyengar

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We consider the problem of constructing a single spanning tree for the single-sink buy-at-bulk network design problem for doubling-dimension graphs. We compute a spanning tree to route a set of demands along a graph G to or from a designated sink node. The demands could be aggregated at (or symmetrically distributed to) intermediate edges where the fusion cost is specified by a nonnegative concave function f. We describe a novel approach for developing an oblivious spanning tree in the sense that it is independent of the number and location of data sources (or demands) and cost function at the edges. We present a deterministic, polynomial-time algorithm for constructing a spanning tree in low doubling-dimension graphs that guarantees a log 3 D-approximation over the optimal cost, where D is the diameter of the graph G. With a constant fusion-cost function, our spanning tree gives an O(log 3 D)-approximation for every Steiner tree that includes the sink. We also provide a Ω (log n) lower bound for any oblivious tree in low doubling-dimension graphs. To our knowledge, this is the first paper to propose a single spanning tree solution to the single-sink buy-at-bulk network design problem (as opposed to multiple overlay trees).

Original languageEnglish (US)
Article number5740852
Pages (from-to)700-712
Number of pages13
JournalIEEE Transactions on Computers
Volume61
Issue number5
DOIs
StatePublished - 2012
Externally publishedYes

Keywords

  • approximation algorithm
  • buy-at-bulk
  • data fusion
  • data structure
  • doubling-dimension graph
  • network design
  • Spanning tree

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

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