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Theory of Self-Stabilizing Overlay Networks

Theory of Self-Stabilizing Overlay Networks
自稳定覆盖网络理论
批准号:
0830704
负责人:
Andrea Richa
金额:
$16.22万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2012-08-31

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中文摘要
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英文摘要
The rapid rise of overlay networks -- as for example, in the form of social networks and other peer-to-peer systems, sensor networks, or mobile ad hoc networks -- is revolutionizing the way we group and exchange information. However, not much is known about self-stabilization mechanisms for these highly dynamic networks. Minimum requirements for overlay network protocols to be useful in practice are that they be local, simple, and self-stabilizing. Locality is important for fast response times and for minimizing the impact of topology changes on the overlay network properties, simplicity is important so that the protocols can be used in a wide range of systems and for a formal verification of their effectiveness, and self-stabilization is important for automatic recovery from any illegal state since protocols requiring human intervention will not scale to systems potentially spanning millions of sites. This project provides mechanisms that allow overlay networks to self-stabilize from an arbitrary connected state in an efficient and robust way. Moreover, our mechanisms will self-stabilize from an arbitrary state even under adversarial behavior of some of the nodes. Since overlay networks and self-stabilization are used in many contexts, this project benefits a number of research communities within and outside of computer science. Moreover, it consolidates strong international collaboration with the Tech. U. of Munich, Germany, while advancing education and enhancing diversity at Arizona State University.This award is co-funded in part by NSF's Office of International Science and Engineering (OISE).
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Collaborative Research: AF: Medium: Markov Chain Algorithms for Problems from Computer Science, Statistical Physics and Self-Organizing Particle Systems
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    2106917
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    $51.6万
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    2021
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    2018
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  • 项目类别:
    Standard Grant
  • 资助金额:
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