An important problem in the ®eld of distributed systems is that of detecting the termination of a distributed computation. Distributed termination detection (DTD) is a dicult p...
Apple's release of the Xgrid framework for distributed computing introduces a new technology solution for loosely coupled distributed computation. In this paper systematicall...
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
What distinguishes e-commerce from ordinary commerce? What distinguishes it from distributed computation? In this paper we propose a performative theory of e-commerce, drawing on ...
This paper investigates how vector time can be used to set breakpoints in distributed computations for the purpose of analyzing and debugging distributed programs. A breakpoint is ...
We understand distributed systems as a collection of distributed computation resources that work together as one harmonious system. It is the great achievement of computer network...
We propose the πD -calculus, a process calculus that can flexibly model fine-grained control of resource access in distributed computation, with a type system that statically pr...
Abstract. In previous work we have shown that the MapReduce framework for distributed computation can be deployed for highly scalable inference over RDF graphs under the RDF Schema...
Jacopo Urbani, Spyros Kotoulas, Jason Maassen, Fra...
Abstract. Randomization is of paramount importance in practical applications and randomized algorithms are used widely, for example in co-ordinating distributed computer networks, ...
In this paper we develop algorithms for distributed computation of a broad range of estimation and detection tasks over networks with arbitrary but fixed connectivity. The distri...