Programming a Distributed System Using Shared Objects

A.S. Tanenbaum; H.E. Bal; M.F. Kaashoek

doi:10.1109/HPDC.1993.263863

Programming a Distributed System Using Shared Objects

A.S. Tanenbaum
, H.E. Bal
, M.F. Kaashoek

Computer Systems

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Building the hardware for a high-performance distributed computer system is a lot easier than building its software. The authors describe a model for programming distributed systems based on abstract data types that can be replicated on all machines that need them. Read operations are done locally, without requiring network traffic. Writes can be done using a reliable broadcast algorithm if the hardware supports broadcasting; otherwise, a point-to-point protocol is used. The authors have built such a system based on the Amoeba microkernel, and implemented a language, Orca, on top of it. For Orca applications that have a high ratio of reads to writes, they measure good speedups on a system with 16 processors.

Original language	English
Title of host publication	Proceedings the 2nd International Symposium on High Performance Distributed Computing
Publisher	IEEE
Pages	5-12
DOIs	https://doi.org/10.1109/HPDC.1993.263863
Publication status	Published - 1993

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10.1109/HPDC.1993.263863

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title = "Programming a Distributed System Using Shared Objects",

abstract = "Building the hardware for a high-performance distributed computer system is a lot easier than building its software. The authors describe a model for programming distributed systems based on abstract data types that can be replicated on all machines that need them. Read operations are done locally, without requiring network traffic. Writes can be done using a reliable broadcast algorithm if the hardware supports broadcasting; otherwise, a point-to-point protocol is used. The authors have built such a system based on the Amoeba microkernel, and implemented a language, Orca, on top of it. For Orca applications that have a high ratio of reads to writes, they measure good speedups on a system with 16 processors.",

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AB - Building the hardware for a high-performance distributed computer system is a lot easier than building its software. The authors describe a model for programming distributed systems based on abstract data types that can be replicated on all machines that need them. Read operations are done locally, without requiring network traffic. Writes can be done using a reliable broadcast algorithm if the hardware supports broadcasting; otherwise, a point-to-point protocol is used. The authors have built such a system based on the Amoeba microkernel, and implemented a language, Orca, on top of it. For Orca applications that have a high ratio of reads to writes, they measure good speedups on a system with 16 processors.

U2 - 10.1109/HPDC.1993.263863

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M3 - Conference contribution

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BT - Proceedings the 2nd International Symposium on High Performance Distributed Computing

PB - IEEE

ER -

Programming a Distributed System Using Shared Objects

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