DMCA
A Distributed Implementation Of The Shared Data-Object Model (1989)
| Venue: | IN USENIX WORKSHOP ON EXPERIENCES WITH BUILDING DISTRIBUTED AND MULTIPROCESSOR SYSTEMS |
| Citations: | 32 - 8 self |
BibTeX
@INPROCEEDINGS{Bal89adistributed,
author = {Henri Bal and M. Frans Kaashoek and Andrew S. Tanenbaum},
title = {A Distributed Implementation Of The Shared Data-Object Model},
booktitle = {IN USENIX WORKSHOP ON EXPERIENCES WITH BUILDING DISTRIBUTED AND MULTIPROCESSOR SYSTEMS},
year = {1989},
pages = {1--19},
publisher = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
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...
Keyphrases
data-object model distributed implementation shared data-object model share data local memory brief description new language several application physical distribution different machine distributed programming linguistic support user-defined abstract data type parallel application access time
