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By João Ferreira, João Leitão, Luis Rodrigues (auth.), Athanasius V. Vasilakos, Roberto Beraldi, Roy Friedman, Marco Mamei (eds.)

This e-book constitutes the completely refereed post-conference court cases of the thirs foreign ICST convention on Autonomic Computing and conversation structures, Autonomics 2009, held in Cyprus Univesity of know-how, Limassol, Cyprus, in September 2009.

The eleven revised complete papers out of 26 submitted and hosted five invited talks, protecting numerous points of autonomic computing together with program, middelware, networking protocols and evaluation.

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Extra resources for Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers

Example text

The parameters are: – – – – BF , Bootstrap Factor ΔTC , Collecting Time F F , Forwarding Factor M axT x, Maximum number of allowed transmissions Push phase. The actions performed by each node in the first push phase are the following ones. P UBLISHER . When the publisher needs to send a new event E, it issues the publish primitive on the local node (router), say node S. Node S acts as a source of the event on behalf of the publisher, and sends E by a local broadcast indicating the generation ID.

All operations of the same ParMod must feature the same input and output interfaces, in terms of streams. Each operation includes its own part of functional, control and context logic of the ParMod in which it is defined. That is, each operation features its own parallel algorithm, but also its own control and context logics. Notice that operations are not merely alternative sections of code inside a module definition: they are the adaptation and deployment units of the EV1 EV0 OP0 EV6 OP1 EV2 EV4 EV5 EV3 OP2 Fig.

Note that the decision 1, 1, 1, 1 is common to both sets and occurs with probability p4 . Therefore, the probability that all receivers get the event is the probability to observe a retransmission pattern of type T X or T X on the relay nodes, or PF = 2p2 − p4 24 R. Beraldi and H. 5 5 Numnber of transmissions Fig. 4. Probability that all nodes receive the event, PF vs total number of transmissions, T To compare gossiping to RDNC, we first observe that in gossiping, the average number of transmissions is T = 1 + 4p, giving us p = (T − 1)/4, where T is the cost of dissemination.

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