DOGMA: distributed object group metacomputing architecture

Judd, Glenn; Clement, Mark J.; Snell, Quinn

doi:10.1002/(sici)1096-9128(199809/11)10:11/13<977::aid-cpe400>3.3.co;2-8

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…The simulation, written in the freely available package R, produced 5000 data sets for each combination. Because of the computationally intensive nature of the maximum likelihood estimation for each sample, a script to distribute the computations to multiple processors was written in DOGMA (Judd, Clement, and Snell, 1998), a java-based system for parallel computing. (See Whiting and Snell (2000) for details.)…”

Section: Comparing Power In a Simulation Studymentioning

confidence: 99%

Likelihood Ratio Tests for a Mixture of Two von Mises Distributions

2001

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It is proposed that the orientation of elongate objects, such as bones, may be used to identify the flow direction of ancient river deposits. If true, elongate objects could be of great value when ancient bedforms such as ripples and dunes are not visible. Two sandstone quarries were investigated wherein the paleoflow direction was determined from both bedforms and elongate dinosaur bones. A mixture of two von Mises distributions captures the observation that elongate bones transported under unidirectional flow conditions will align both parallel and perpendicular to the flow direction. Likelihood ratio tests for a mixture of two von Mises distributions are given. The power of these tests is investigated by simulation since the direction of dinosaur bones agrees with the primary bedforms if the hypothesis test comparing the dominant mean direction of the bones to the paleoflow direction fails to reject. The likelihood ratio test on the dominant mean direction has reasonable power. If the two mean directions in the mixture distribution are pi apart, a more powerful likelihood ratio test can be used. The likelihood ratio test on the hypothesis that the two mean directions are exactly pi apart is useful in determining if the assumptions of the more powerful test are satisfied.

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Section: Comparing Power In a Simulation Studymentioning

confidence: 99%

Likelihood Ratio Tests for a Mixture of Two von Mises Distributions

2001

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“…We are by no means the first to consider implementing MPI-like functionality in pure Java, and working systems have already been reported in [5], [6], for example. The goal here is to build on the lessons learnt in those earlier systems, and produce software that is standalone, easy-to-use, robust, and fully implements the specification of [1].…”

Section: Motivationmentioning

confidence: 99%

Establishing a Reliable Jini Infrastructure for Parallel Applications

Baker

Smith

2001

Parallel Process. Lett.

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Java is becoming an increasingly popular language for developing distributed and parallel scientific and engineering applications. Jini is a Javabased infrastructure developed by Sun that can allegedly provide all the services necessary to support distributed applications. It is the aim of this paper to explore and investigate the services and properties that Jini actually provides and match these against the needs of high performance distributed and parallel applications written in Java. The motivation for this work is the need to develop a distributed infrastructure to support an MPI-like interface to Java known as MP J.In the first part of the paper we discuss the needs of MPJ, the parallel environment that we wish to support. In particular we look at aspects such as reliability and ease of use. We then move on to sketch out the Jini architecture and review the components and services that Jini provides. In the third part of the paper we critically explore a Jini infrastructure that could be used to support MPJ. Here we are particularly concerned with Jini's ability to support reliably a cocoon of MPJ processes executing in a heterogeneous environment. In the final part of the paper we summarise our findings and report on future work being undertaken on Jini and MPJ.

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“…In fact, a similar approach, http://www.distributed.net, consisting of over 100 000 participants, claims to be the fastest computer on earth. There are a number of such systems and many are Java‐based37, 38, 39, 40, 41, 42, 43, 44. A good survey can be found in Reference45.…”

Section: Load‐balancing With Mobile Agentsmentioning

confidence: 99%

Information agents on the move

Schroeder

Gomoluch

2001

Software Focus

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Information agents process and integrate heterogeneous, distributed information. To achieve this task efficiently, some researchers promote the idea of mobile information agents that migrate between a user's host and other hosts in the network. JACEK GOMOLUCH and MICHAEL SCHROEDER outline the concepts behind mobile information agents and give a survey on load balancing, which aims to optimise distributed information processing. Copyright © 2001 John Wiley & Sons, Ltd.

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DOGMA: distributed object group metacomputing architecture

Cited by 6 publications

References 8 publications

Likelihood Ratio Tests for a Mixture of Two von Mises Distributions

Likelihood Ratio Tests for a Mixture of Two von Mises Distributions

Establishing a Reliable Jini Infrastructure for Parallel Applications

Information agents on the move

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