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Issue No.05 - May (2012 vol.61)
pp: 700-712
S. Srinivasagopalan , Comput. Sci. Dept., Louisiana State Univ., Baton Rouge, LA, USA
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 log3 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(log3 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).
trees (mathematics), computational complexity, deterministic algorithms, Steiner tree, oblivious spanning tree, doubling-dimension graph, single-sink buy-at-bulk network design problem, nonnegative concave function, deterministic algorithm, polynomial-time algorithm, optimal cost, constant fusion-cost function, Approximation methods, Approximation algorithms, Algorithm design and analysis, Steiner trees, Peer to peer computing, Extraterrestrial measurements, data structure., Spanning tree, buy-at-bulk, network design, approximation algorithm, doubling-dimension graph, data fusion
S. Srinivasagopalan, "An Oblivious Spanning Tree for Single-Sink Buy-at-Bulk in Low Doubling-Dimension Graphs", IEEE Transactions on Computers, vol.61, no. 5, pp. 700-712, May 2012, doi:10.1109/TC.2011.64
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