On Death, Taxes, and the Convergence of Peer-to-Peer and Grid Computing

By Ian T Foster, Adriana Iamnitchi. International Workshop on Peer-to-Peer Systems, 2003

614 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/cf7377193f5e8afac79c623b328526648615f29b

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In Computer Networks and Communications

In Information Systems and Management

Citations in the corpus

Scheduling Algorithms for Grid Computing: State of the Art and Open Problems (2006, background): “Resources owned by various administrative organizations are shared under locally defined policies that specify what is shared, who is allowed to access what, and under what conditions [48].”
A taxonomy of Data Grids for distributed data sharing, management, and processing (2005, background): “Foster and Iamnitchi [54] discuss th e convergence of P2P and Grid computing and contend that the latter will be able to take advantage of the fail ure resistance and scalability offered by the former who gains from the experience in managing diverse and powerf ul resources, complex applications and”
A Survey on Distributed Machine Learning (2019, background): “This has the advantage of typically higher scalability than a centralized model and the elimination of single points of failure in the system [52].”
The Computational and Storage Potential of Volunteer Computing (2006, background): “those with large input files)? Foster and Iamnitchi discuss this question [10], and point out that while SETI@home processes about 25 KB of data per CPU hour, some applications have a much higher ratio.”
A peer-to-peer approach to resource location in grid environments (2002, background): “Moreover, the two environments seem likely to converge in terms of their concerns, as Grids scale and P2P systems address more sophisticated application requirements [ FI03 ].”
An architecture for exploiting multi-core processors to parallelize network intrusion prevention (2007, neutral): “But most peerto-peer applications run on nodes on the edge of the Internet [8]: while the traffic in the core of the Internet can influence the peer-to-peer system behavior (congestion between providers can increase latency, for example), the main bottleneck for end nodes is often the link between t”