DOOM: A Decentralized Object-Oriented Machine

Lecture Notes in Computer Science

1991

Integrity constraints form an important part of a data model. Therefore, a complete integrity constraint handling subsystem is considered an important part of any modern DBMS. In implementing an integrity constraint handling subsystem, there are two major problem areas: providing enough functionality and delivering good performance in constraint enforcement. In the PIt.ISMA project, an integrity constraint handling subsystem for a relational DBMS is developed, that meets both requirements. Functionality is reached through a modular and extensibte architecture of the subsystem. Performance is reached through extensive use of parallelism in various constraint enforcement algorithms.

Section: T H E P R I S M a / D B C O N T E X Tmentioning

confidence: 99%

Parallel handling of integrity constraints

Grefen

Flokstra

Lecture Notes in Computer Science

1991

“…The system is designed to run on a sharednothing multi-processor [Bron87]. Within a session, the SQL parser (SQL) takes care of data manipulation and data definition in SQL.…”

Section: 1mentioning

confidence: 99%

Parallel handling of integrity constraints on fragmented relations

Grefen

Proceedings of the Second International Symposium on Databases in Parallel and Distributed Systems - DPDS '90

1990

Integrity constraint handling is considered an important issue in relational database management systems. Many studies were already conducted in this area. Little attention has been paid however to the influence of relation fragmentation and parallelism on constraint handling. This paper shows how relation fragmentation complicates matters on the one hand, but how parallelism can help to get better efficiency in enforcing constraints on the other hand. The ideas as presented in this paper are used in the context of the PRISMA database machine; they have a more general applicability though.

“…The computational grain of parallelism is medium to coarse. POOL-X is closely related to POOL2 [2] a general purpose object oriented language. It is strongly typed and hides the multi-computer details.…”

Section: Pool-xmentioning

confidence: 99%

“…Each processing element will have four communication links running at 10 Mbit/sec, and a local mainmemory of 16 MByte. The topology of the interconnection network will be mesh-like or a variant of a chordal ring [2]. Various simulations show an average network throughput of upto 20.000 packets (of 256 bits) per second for each processing element simultaneously.…”

Section: 2mentioning

confidence: 99%

PRISMA database machine: A distributed, main-memory approach

Lecture Notes in Computer Science

Kersten²,

Oerlemans

1988

The PRISMA project is a large-scale research effort in the design and implementation of a highly parallel machine for data and knowledge processing. The PRISMA database machine is a distributed, main-memory database management system implemented in an object-oriented language that runs on top of a multi-computer system. A prototype that is envisioned consists of 64 processing elements. 1 PRISMA ProjectThe long term objective of the PRISMA project is to obtain a flexible architecture for a machine that effectively stores and manipulates both data and knowledge. This long term objective translates into the following goals: * The construction of a multi-computer system, consisting of a large number of processing elements connected via a message-passing network; * The definition and efficient implementation of a parallel object-oriented language, called POOL-X;. The design and implementation of a main-memory datable system in POOL-X;o The design and implementation of an expert system shell in POOL-X that exploits parallelism for inferencing;• The investigation of using medium to coarse grain parallelism for data and knowledge processing applications, the integration of data and knowledge processing, and the evaluation of the prototype multl-computer, among other things.The project started in October 1986 and is scheduled until September 1990. The project team consists of members of the Philips Research Laboratories in Eindhoven and the following Dutch