By Anne-Marie Kermarrec (auth.), Rachid Guerraoui, Franck Petit (eds.)
This ebook constitutes the refereed lawsuits of the eleventh overseas Symposium on Stabilization, safeguard, and safety of allotted structures, SSS 2009, held in Lyon, France, in November 2009.
The forty nine revised complete papers and 14 short bulletins offered including 3 invited talks have been conscientiously reviewed and chosen from 126 submissions. The papers handle all protection and security-related elements of self-stabilizing platforms in a number of parts. the main issues on the topic of self-* platforms. The precise themes have been substitute platforms and types, autonomic computational technology, cloud computing, embedded structures, fault-tolerance in dispensed platforms / dependability, formal tools in allotted platforms, grid computing, mobility and dynamic networks, multicore computing, peer-to-peer platforms, self-organizing platforms, sensor networks, stabilization, and procedure protection and security.
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Additional info for Stabilization, Safety, and Security of Distributed Systems: 11th International Symposium, SSS 2009, Lyon, France, November 3-6, 2009. Proceedings
Lenzen, J. Suomela, and R. 1 Unfortunately, it seems that this equivalence has been somewhat forgotten in the last decades. For instance, hardly ever does a paper from one area cite work from the other area. We take the opportunity of this invited paper to summarize the basics, to discuss the latest developments, and to point to possible open problems. We believe that the two areas can learn a great deal from each other! 2 Deterministic Algorithms The connection between local algorithms and self-stabilizing algorithms is particularly straightforward in the case of deterministic algorithms: any deterministic local algorithm is also a deterministic self-stabilizing algorithm.
The following example shows two iterations of the algorithm on a part t → u → v → w of a cycle: t: u: v: w: 1010110000 → . . → . . 0010110000 → 10010 → . . 1010010000 → 01010 → 111 0110010000 → 10001 → 001. 20 C. Lenzen, J. Suomela, and R. , the nodes’ unique identiﬁers, have O(log n) bits. After one step, the colors consist of O(log log n) bits, namely a binary encoded position in a string of length O(log n) plus one bit. Applying this observation also to subsequent rounds, we see that after O(log∗ n) rounds, the number of bits— and thus colors—has become constant.
Hence in the conversion from local to self-stabilizing algorithms, we can guarantee much more than mere eventual convergence into a legitimate conﬁguration: we can show that the convergence is fast. Note that the algorithm is also eﬃcient in terms of the number of bits sent and the required memory. In total T O(log (i) n) = O(log n) i=1 bits need to be exchanged along each edge, where log(i) n denotes the i times iterated logarithm. Apart from the presented special case where edges are oriented, this bit complexity is asymptotically optimal , a result also holding 22 C.
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.)