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SASO

2007

IEEE

2007

IEEE

This paper describes, and evaluates beneﬁts of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distributed computing algorithms (“protocols”). This methodology is potentially a good vehicle for translating natural phenomena, representable via mathematical models, into practical p2p protocols. Concretely, our ﬁrst contribution is a set of techniques to translate certain discrete “sequence equations” rigorously into new p2p protocols called “sequence protocols”. Sequence protocols are self-adaptive, scalable, and fault-tolerant, with applicability in p2p settings like Grids. A sequence protocol is a set of probabilistic local and message-passing actions for each process. These actions are translated from terms in a set of source sequence equations. Without having each process simulate the source sequence equations, the emergent behavior of a sequence protocol in a p2p system is equivalent to, and ...

Related Content

Added |
04 Jun 2010 |

Updated |
04 Jun 2010 |

Type |
Conference |

Year |
2007 |

Where |
SASO |

Authors |
Steven Y. Ko, Indranil Gupta, Yookyung Jo |

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