This paper explores technology permitting arbitrary application components to be exposed for remote access from other software. Using this, the application and its constituent com...
Scott M. Walker, Alan Dearle, Graham N. C. Kirby, ...
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
In this paper, we argue for the power of providing a common set of OS services to wide area applications, including mechanisms for resource discovery, a global namespace, remote p...
Amin Vahdat, Thomas E. Anderson, Michael Dahlin, E...
We present RDFGrowth, an algorithm that addresses a specific yet important scenario: large scale, end user targeted, metadata exchange P2P applications. In this scenario, peers per...
Giovanni Tummarello, Christian Morbidoni, Joackin ...
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...