Distributed Computing and Networking: 10th International by Krithi Ramamritham (auth.), Vijay Garg, Roger Wattenhofer,

By Krithi Ramamritham (auth.), Vijay Garg, Roger Wattenhofer, Kishore Kothapalli (eds.)

This e-book constitutes the refereed complaints of the tenth overseas convention on disbursed Computing and Networking, ICDCN 2009, held in Hyderabad, India, in the course of January 3-6, 2009.

The 20 papers and 32 brief shows offered including three keynote talks and a memorial lecture on A.K. Choudhury have been conscientiously reviewed and chosen from 179 submissions. the subjects addressed are sensor networks, multi-core and shared reminiscence, peer-to-peer-computing, reliability and defense, allotted computing, community algorithms, fault tolerance and versions, fault tolerance and replication, instant networks, and grid and cluster computing.

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Extra resources for Distributed Computing and Networking: 10th International Conference, ICDCN 2009, Hyderabad, India, January 3-6, 2009. Proceedings

Sample text

Also, any unconnected city j that has completely paid its connection cost c(i, j), but has not yet started 18 S. V. , βij = 0, is also declared connected to j. The opening of a facility i corresponds to setting yi = 1 and declaring a city j connected to i corresponds to setting xij = 1. Once a facility i is open and cities connected to it, then the dual variables of these cities are no longer raised; otherwise the dual constraint j∈C βij ≤ f (i) would be violated. The algorithm proceeds in this way until every city has been connected to some open facility.

There exists a constant B such that g(x) ≤ B · g(x/3) for all x ∈ [0, 1]. Each edge {i, j} ∈ E gets assigned a connection cost c(i, j) = g(|ij|), representing the dependence of the connection cost on the Euclidean distance between the involved vertices. For any ε > 0, we present a (6+B+ε)-approximation algorithm for UDG-FacLoc. , g(x) = x, then B = 3 and we have a (9 + ε)-approximation. If the connection costs are meant to represent energy usage, then a function such as g(x) = β · xγ for constants β and 2 ≤ γ ≤ 4 may 16 S.

This property of UDG-FacLoc allows us to solve a version of the problem independently on small squares and combine the solutions in a simple way to get the overall solution. We √ the plane into √ partition squares by placing on the plane an infinite grid of 1/ 2 × 1/ 2 squares. This is a standard and simple way of partitioning a UDG with geometric representation into cliques. The square Sij for i, j ∈ Z, contains all the points (x, y) √ √ . Let G = (V, E) be the given UDG. and √j2 ≤ y < j+1 with √i2 ≤ x < i+1 2 2 For a square Sij that has at least one node in V , let Vij ⊆ V be the set of vertices whose centers lie in Sij .

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