Automatic Distribution Of Shared Data Objects
INTRODUCTION Object-based distributed shared memory is a form of shared virtual memory in which shared data are encapsulated in objects. One of the main research issues related to shared objects is how to implement them efficiently on a distributedmemory system. Our Orca system [1, 3] uses two distr...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.30.4147 2023-05-15T17:53:44+02:00 Automatic Distribution Of Shared Data Objects Koen Langendoen Raoul Bhoedjang Henri E. Bal The Pennsylvania State University CiteSeerX Archives 1995 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.4147 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.4147 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://ftp.cs.vu.nl/pub/raoul/papers/lcr95.ps.gz text 1995 ftciteseerx 2016-01-07T22:00:41Z INTRODUCTION Object-based distributed shared memory is a form of shared virtual memory in which shared data are encapsulated in objects. One of the main research issues related to shared objects is how to implement them efficiently on a distributedmemory system. Our Orca system [1, 3] uses two distribution strategies. In the simplest case, an object is stored on one processor (single-copy mode), and other processors access it through remote invocations. To reduce communication overhead, each object is migrated to the processor that accesses it most frequently. The other strategy we use is to replicate shared objects that have a high read/write ratio. With a replicated object, read-only operations can be executed locally. Operations that change the object update all copies in a consistent way, using totally-ordered group communication [2]. For reasons of transparency and portability we want to decide automatically which of these strategies to use fo Text Orca Unknown |
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INTRODUCTION Object-based distributed shared memory is a form of shared virtual memory in which shared data are encapsulated in objects. One of the main research issues related to shared objects is how to implement them efficiently on a distributedmemory system. Our Orca system [1, 3] uses two distribution strategies. In the simplest case, an object is stored on one processor (single-copy mode), and other processors access it through remote invocations. To reduce communication overhead, each object is migrated to the processor that accesses it most frequently. The other strategy we use is to replicate shared objects that have a high read/write ratio. With a replicated object, read-only operations can be executed locally. Operations that change the object update all copies in a consistent way, using totally-ordered group communication [2]. For reasons of transparency and portability we want to decide automatically which of these strategies to use fo |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Koen Langendoen Raoul Bhoedjang Henri E. Bal |
spellingShingle |
Koen Langendoen Raoul Bhoedjang Henri E. Bal Automatic Distribution Of Shared Data Objects |
author_facet |
Koen Langendoen Raoul Bhoedjang Henri E. Bal |
author_sort |
Koen Langendoen |
title |
Automatic Distribution Of Shared Data Objects |
title_short |
Automatic Distribution Of Shared Data Objects |
title_full |
Automatic Distribution Of Shared Data Objects |
title_fullStr |
Automatic Distribution Of Shared Data Objects |
title_full_unstemmed |
Automatic Distribution Of Shared Data Objects |
title_sort |
automatic distribution of shared data objects |
publishDate |
1995 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.4147 |
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Orca |
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Orca |
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ftp://ftp.cs.vu.nl/pub/raoul/papers/lcr95.ps.gz |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.4147 |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766161448492335104 |