@inproceedings{Tysowski1999JaCaL-22153,
  year={1999},
  title={JaCaL : an implementation of Linda in Java},
  isbn={0-88986-275-3},
  publisher={Acta Press},
  address={Anaheim; Zurich [u.a.]},
  booktitle={Proceedings of the Eleventh IASTED International Conference Parallel and Distributed Computing and Systems : November 3 - 6, 1999, MIT, Cambridge, Massachusetts, USA},
  pages={683--692},
  editor={Zheng, Si-Qing},
  author={Tysowski, Piotr and Zulkernine, Mohammad and Leue, Stefan}
}

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    <dcterms:bibliographicCitation>Proceedings of the Eleventh IASTED International Conference Parallel and Distributed Computing and Systems : November 3 - 6, 1999, MIT, Cambridge, Massachusetts, USA / a publ. of The International Association of Science and Technology for Development - IASTED. Ed.: Si-Qing Zheng. - Anaheim ; Zurich [u.a.] : Acta Press, 1999. - S. 683-692. - ISBN 0-88986-275-3</dcterms:bibliographicCitation>
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    <dc:contributor>Leue, Stefan</dc:contributor>
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    <dcterms:abstract xml:lang="eng">Java is an object-oriented programming language with built-in features for creating distributed programs. A key feature-set that is missing, however, is'an easy-to-use, reliable, and scaleable tool for writing truly parallel programs. The Linda para\lel programming model defmes a client-server approach where concurrent execution requests are serviced and results are stored to a shared data repository called a Tuple Space. Tuples consist of heterogeneous coIIections of data of various types. An interpretation of the model aIIows the programmer to create active tuples, in which user-defined functions are automatically and transparently launched in concurrently executing processes distributed on remote workstations. This paper presents an implementation of Linda in Java called JaCaL, a library of classes and interfaces easily integrated into a client application. The Tuple Space has been implemented as a data store residing on a single machine, whilst being accessible by clients distributed on other machines. Clients can create active tuples, which cause processes on distributed machines to be transparently invoked to execute user-defined functions, employing a load-balanced worker process model. No pre-processor is required to parse the client program before compilation. The implementation allows a Java application developer to create more efficient coarse grained parallel programs with minimal effort. Performance measurements have been made and compared to those of another, similar implementation.</dcterms:abstract>
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    <dc:creator>Zulkernine, Mohammad</dc:creator>
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