By Anne-Marie Kermarrec (auth.), Rachid Guerraoui, Franck Petit (eds.)
ISBN-10: 3642051189
ISBN-13: 9783642051180
This publication constitutes the refereed lawsuits of the eleventh overseas Symposium on Stabilization, security, and defense of allotted structures, SSS 2009, held in Lyon, France, in November 2009.
The forty nine revised complete papers and 14 short bulletins provided including 3 invited talks have been conscientiously reviewed and chosen from 126 submissions. The papers tackle all defense and security-related points of self-stabilizing platforms in a number of components. the main subject matters regarding self-* platforms. The detailed subject matters have been replacement structures and versions, autonomic computational technological know-how, cloud computing, embedded platforms, fault-tolerance in allotted platforms / dependability, formal tools in disbursed structures, grid computing, mobility and dynamic networks, multicore computing, peer-to-peer structures, self-organizing platforms, sensor networks, stabilization, and method safeguard and security.
Read Online or Download Stabilization, Safety, and Security of Distributed Systems: 11th International Symposium, SSS 2009, Lyon, France, November 3-6, 2009. Proceedings PDF
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Extra info for Stabilization, Safety, and Security of Distributed Systems: 11th International Symposium, SSS 2009, Lyon, France, November 3-6, 2009. Proceedings
Example text
Moreover, it is a local approximation scheme: an arbitrarily good approximation ratio can be achieved. The algorithm is deterministic, an therefore it can be easily converted into a self-stabilizing algorithm. It is also known that the dependency on Δ in the running time is unavoidable. Kuhn et al. [35,36] present lower bound constructions that, in essence, show that finding a constant-factor approximation of a packing or covering LP requires Ω(log Δ/ log log Δ) rounds, even in various special cases such as the LP relaxations of minimum vertex cover and maximum matching.
Similar results were also presented by Alon et al. [28] and Israeli et al. [29] around the same time. Recently, M´etivier et al. [30] presented a new variant featuring a simpler analysis. While we are not aware of a self-stabilizing version of Luby’s algorithm, there has been progress in this direction. Already in 1988, Awerbuch and Sipser [8] studied Luby’s algorithm in dynamic, asynchronous networks, and more recently the algorithm has been studied in a fault-tolerant setting by Kutten and Peleg [31].
The function log∗ n is defined as the number of times the logarithm has to be applied to n until the result is a constant. This function grows exceptionally slowly and is bounded by a small number for any reasonable size of n. In the Cole–Vishkin algorithm, the local input of a node is a unique identifier with O(log n) bits, and the local output of a node will be a color from the set {0, 1, 2}: 1 2 0 2 1 2 0 1 14 2 45 6 44 24 81 0 To keep things simple, we assume that the nodes know an upper bound on n, and the cycle has a consistent orientation such that each node has one successor and one predecessor: The algorithm works as follows.
Stabilization, Safety, and Security of Distributed Systems: 11th International Symposium, SSS 2009, Lyon, France, November 3-6, 2009. Proceedings by Anne-Marie Kermarrec (auth.), Rachid Guerraoui, Franck Petit (eds.)
by Michael
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