Distributed Computing and Networking: 14th International by Sanjit A. Seshia (auth.), Davide Frey, Michel Raynal,

By Sanjit A. Seshia (auth.), Davide Frey, Michel Raynal, Saswati Sarkar, Rudrapatna K. Shyamasundar, Prasun Sinha (eds.)

This e-book constitutes the refereed court cases of the 14th overseas convention on dispensed Computing and Networking, ICDCN 2013, held in Mumbai, India, in the course of January 3-6, 2013. The 27 revised complete papers, five brief papers awarded including 7 poster papers have been conscientiously reviewed and chosen from 149 submissions. The papers hide themes comparable to dispensed algorithms and concurrent info buildings; integration of heterogeneous instant and stressed out networks; dispensed working structures; internetworking protocols and web purposes; dispensed database platforms; cellular and pervasive computing, context-aware dispensed structures; embedded allotted platforms; subsequent new release and converged community architectures; experiments and function overview of allotted structures; overlay and peer-to-peer networks and prone; fault-tolerance, reliability, and availability; domestic networking and companies; multiprocessor and multi-core architectures and algorithms; source administration and caliber of carrier; self-organization, self-stabilization, and autonomic computing; community protection and privateness; excessive functionality computing, grid computing, and cloud computing; energy-efficient networking and shrewdpermanent grids; defense, cryptography, and online game conception in dispensed structures; sensor, PAN and ad-hoc networks; and site visitors engineering, pricing, community management.

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Example text

Phase 1 takes O(λ) rounds for performing λ from each node v. cn log2 n walks of length 2 Proof. We are interested in performing cn log n random walks of length λ from each node. In the LOCAL model, every node can send or receive any number of messages through an edge in each round. Congestion is not an issue here. Therefore at any round i, each node holding any number of coupons can forward them to randomly chosen outgoing neighbors (in parallel). This will take one round only. e. every coupon will reach to the destination node after λ rounds.

Recall that each connector node is the destination of some short walk). 5: Count the number of visits during this reverse tracing and add to ζv . 6: end for v 7: Each node v outputs its PageRank πv as cnζlog . n Fast Distributed PageRank Computation 21 long walks (Θ(log n) from each node) have been stitched. , in Phase 2), each connector node (which is also end point of the short walk) should remember the source node of the short walk. , retrace the short walk backwards) to the source node in parallel.

In: PODC, pp. 201–210 (2010) 10. : A note on the pagerank of undirected graphs. 1960 (2012) 11. : When the web meets the cell: using personalized pagerank for analyzing protein interaction networks. Bioinformatics 27(3), 405–407 (2011) 12. : Survey: Deeper inside pagerank. Internet Mathematics 1(3), 335–380 (2003) 13. : Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Cambridge University Press, New York (2005) 14. : The pagerank citation ranking: Bringing order to the web.

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