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Distributed Computing and Networking: 11th International by Prith Banerjee (auth.), Krishna Kant, Sriram V. Pemmaraju,

By Prith Banerjee (auth.), Krishna Kant, Sriram V. Pemmaraju, Krishna M. Sivalingam, Jie Wu (eds.)

This e-book constitutes the refereed court cases of the eleventh foreign convention on dispensed Computing and Networking, ICDCN 2010, held in Kolkata, India, in the course of January 3-6, 2010.

There have been 169 submissions, ninety six to the networking music and seventy three to the allotted computing song. After overview the committee chosen 23 papers for the networking and 21 for the dispensed computing music. the themes addressed are community protocol and functions, fault-tolerance and protection, sensor networks, allotted algorithms and optimization, peer-to-peer networks and community tracing, parallel and dispensed platforms, instant networks, functions and disbursed structures, optical, mobile and cellular advert hoc networks, and conception of dispensed systems.

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Extra info for Distributed Computing and Networking: 11th International Conference, ICDCN 2010, Kolkata, India, January 3-6, 2010. Proceedings

Example text

Vmv in V . For each edge (u, v) ∈ E, where u, v have mu , mv interfaces respectively, create edges (ui , v j ), 1 ≤ i ≤ mu , 1 ≤ j ≤ mv , and set q(ui ,v j ) = q(u,v) . Set the achievable channel rate appropriately for each edge in E and each channel. For example, assuming that the c c channel-rate is solely a function of u, v and c, then: for each channel c, set r(u = r(u,v) . i ,v j ) The transformed graph G comprises only single-interface links, and thus Theorem 2 applies to it. Moreover, it is not hard to see that a schedule that maximizes ∑ ql rl in G also maximizes ∑ ql rl in G.

Hellinger distance between two probability measures A and B can be computed as follows. M √ 1 d2H (A, B) = ( am − bm )2 , (4) 2 m=1 24 P. Sroufe et al. Table 1. , bM } respectively, and satisfy am ≥ 0, m am = 1, bm ≥ 0, and m bm = 1. Hellinger distance of 0 implies that A = B whereas disjoint A and B yields the maximum distance of 1. The accuracy of this data set is found from computing the number of correctly labeled emails in a bucket to the total number of emails in that bucket. A false positive indicates an email that was placed in the bucket but did not belong.

This bound holds for arbitrary values of βs and βc , and variable number of interfaces per node. 14 V. H. Vaidya However, this bound can be quite loose in multi-channel wireless networks where each device has one or few interfaces. In this section, we prove an improved bound on the efficiency-ratio achievable with the CGM scheduler for single-interface nodes. We also briefly discuss how it can be used to obtain a bound for multi-interface nodes. Theorem 2. Let Sopt denote the set of links activated by an optimal scheduler that chooses a set of link-channel pairs (l, c) for transmission such that ∑ wcl is maximized.

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