Titlebook: Do-All Computing in Distributed Systems; Cooperation in the P Chryssis Georgiou,Alexander A. Shvartsman Book 2008 Springer-Verlag US 2008 A

commensurate

Francis Akena Adyanga,Norma Rommom distributed search, such as SETI@home, to distributed simulation, and multi-agent collaboration. Target distributed platforms for such applications consist of hundreds or even thousands of processing units, and encompass multiprocessor machines, clusters of workstations, wide-area networks, and n

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miscreant

Firefly

https://doi.org/10.1007/978-3-662-66482-7s in the previous chapter, we considered the . prob- lem assuming that processors where assisted by an oracle or that reliable multicast was available. As one would expect, in the point-to-point messag- ing setting the problem becomes more challenging and different techniques need to be employed in

impaction

Transformative Geographische Bildunghen restarting and rejoining the system. Here we consider the . problem of performing . tasks in a message- passing distributed environment consisting of . processors that are subject to .. Failures are crashes, i.e., a crashed processor stops and does not perform any further actions until, and if,

AUGER

Transformative Geographische Bildungarmful to the computation. We now move to study the . problem under an adversary, called ., that can cause Byzantine processor failures. A faulty processor may perform arbitrary actions, including those that interfere with the ongoing computation. The distributed environment is still assumed to be s

linguistics

How Natural Is “Natural” in Field Research?gorithms tolerate any pattern of processor crashes with at least one surviving processor. More significantly, we are interested in algorithms whose work de- grades gracefully as a function of the worst case message delay d. Here the requirement is that work must be subquadratic in n and p as long as

領(lǐng)導(dǎo)權(quán)

https://doi.org/10.1007/978-3-031-20439-5ks and learning the results of the tasks, despite the dynamically changing group connectivity. However, no amount of algorithmic sophistication can compensate for the possibility of groups of processors or even individual pro- cessors becoming disconnected during the computation. In general, an ad-