Stabilization, Safety, and Security of Distributed Systems: by Pascal Felber, Vijay Garg
By Pascal Felber, Vijay Garg
This ebook constitutes the refereed complaints of the sixteen overseas Symposium on Stabilization, security and safety of allotted platforms, SSS 2013, held in Osaka, Japan, in September/October 2014. The 21 average papers and eight brief papers offered have been rigorously reviewed and chosen from forty four submissions. The Symposium is prepared in numerous tracks, reflecting subject matters to self-* homes. The tracks are self-stabilization; ad-hoc; sensor and cellular networks; cyberphysical platforms; fault-tolerant and loyal platforms; formal tools; security and safety; and cloud computing; P2P; self-organizing; and self sustaining systems.
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Additional info for Stabilization, Safety, and Security of Distributed Systems: 16th International Symposium, SSS 2014, Paderborn, Germany, September 28 – October 1, 2014. Proceedings
In this paper we address the issue of designing fast and/or compact silent self-stabilizing network algorithms for arbitrary tasks. ). In each of these algorithms, silentness is guaranteed thanks to the — implicit or explicit — use of a mechanism known as proof-labeling scheme . This mechanism provides each solution of the considered task with a distributed certiﬁcate consisting of a collection of individual certiﬁcates (also called labels) assigned to all nodes. When each node has its own certiﬁcate as well as the certiﬁcates of its neighbors at hand, the nodes can collectively decide whether the current state is legal or not.
A self-stabilizing algorithm for ﬁnding a spanning tree in a polynomial number of moves. , Wa´sniewski, J. ) PPAM 2005. LNCS, vol. 3911, pp. 75–82. de Abstract. The robustness of pull-based streaming systems to node failure and churn has been extensively analyzed. Their resistance to sabotage, however, is not well understood, so far. Recent measurement studies on a large deployed pull-based system have discovered stable source-topeer paths and the convergence of the content dissemination to rather static topologies over time.
This includes the division of the video stream into stripes and the assignment of partners to diﬀerent groups. First, a stripe i consists of chunks whose sequence numbers equal to i mod k. Second, partners of a peer are assigned to k groups, each contains a subset of the partner list. This way, a peer requests chunks of the stripe i from partners of the group i. Figure 1 illustrates the design of our scheme for a generic peer. In this example, the video stream is divided into three stripes. Accordingly, seven partners are assigned to three groups.