A Distributed Implementation Of The Shared Data-Object Model
The shared data-object model is designed to ease the implementation of parallel applications on loosely coupled distributed systems. Unlike most other models for distributed programming (e.g., RPC), the shared data-object model allows processes on different machines to share data. Such data are enca...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.37.8731 2023-05-15T17:53:44+02:00 A Distributed Implementation Of The Shared Data-Object Model Henri Bal M. Frans Kaashoek Andrew S. Tanenbaum The Pennsylvania State University CiteSeerX Archives 1989 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.8731 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.8731 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://gatekeeper.dec.com/pub/doc/amoeba/ps/16.ps.Z text 1989 ftciteseerx 2016-01-08T01:15:41Z The shared data-object model is designed to ease the implementation of parallel applications on loosely coupled distributed systems. Unlike most other models for distributed programming (e.g., RPC), the shared data-object model allows processes on different machines to share data. Such data are encapsulated in data-objects, which are instances of user-defined abstract data types. The shared data-object model forms the basis of a new language for distributed programming, Orca, which gives linguistic support for parallelism and data-objects. A distributed implementation of the shared data-object model should take care of the physical distribution of objects among the local memories of the processors. In particular, an implementation may replicate objects in order to decrease access times to objects and increase parallelism. The intent of this paper is to show that, for several applications, the proposed model is both easy to use and efficient. We first give a brief description of the sh. Text Orca Unknown |
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English |
description |
The shared data-object model is designed to ease the implementation of parallel applications on loosely coupled distributed systems. Unlike most other models for distributed programming (e.g., RPC), the shared data-object model allows processes on different machines to share data. Such data are encapsulated in data-objects, which are instances of user-defined abstract data types. The shared data-object model forms the basis of a new language for distributed programming, Orca, which gives linguistic support for parallelism and data-objects. A distributed implementation of the shared data-object model should take care of the physical distribution of objects among the local memories of the processors. In particular, an implementation may replicate objects in order to decrease access times to objects and increase parallelism. The intent of this paper is to show that, for several applications, the proposed model is both easy to use and efficient. We first give a brief description of the sh. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Henri Bal M. Frans Kaashoek Andrew S. Tanenbaum |
spellingShingle |
Henri Bal M. Frans Kaashoek Andrew S. Tanenbaum A Distributed Implementation Of The Shared Data-Object Model |
author_facet |
Henri Bal M. Frans Kaashoek Andrew S. Tanenbaum |
author_sort |
Henri Bal |
title |
A Distributed Implementation Of The Shared Data-Object Model |
title_short |
A Distributed Implementation Of The Shared Data-Object Model |
title_full |
A Distributed Implementation Of The Shared Data-Object Model |
title_fullStr |
A Distributed Implementation Of The Shared Data-Object Model |
title_full_unstemmed |
A Distributed Implementation Of The Shared Data-Object Model |
title_sort |
distributed implementation of the shared data-object model |
publishDate |
1989 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.8731 |
genre |
Orca |
genre_facet |
Orca |
op_source |
ftp://gatekeeper.dec.com/pub/doc/amoeba/ps/16.ps.Z |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.8731 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766161450942857216 |