The software architecture of a parallel processing system for advanced database applications

Kiyoki, Yasushi; Kurosawa, Takahiro; Kato, K.; Masuda, Takashi

doi:10.1109/icde.1991.131469

Cited by 8 publications

(1 citation statement)

References 15 publications

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“…We have implemented a parallel processing system SMASH designed for advanced database applications [12,13]. As the future work, the proposed metadatabase system will be implemented on SMASH.…”

Section: Resultsmentioning

confidence: 99%

A Fundamental Framework for Realizing Semantic Interoperability in a Multidatabase Environment

Kiyoki

Kitagawa

Hitomi

1995

ICA

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In multidatabase research, the realization of semantic interoperability is the most important issue for resolving semantic heterogeneity between different databases. In this paper, we propose a fundamental framework for realizing semantic interoperability at the level of semantic relationships between data items in a multidatabase environment. We present a metadatabase system which extracts the significant information from different databases. The metadatabase system uses a mathematical model of meaning to dynamically recognize the semantic equivalence, similarity and difference between data items. The essential feature of this model is that the specific meaning of a data item is dynamically fixed and unambiguously recognized according to the context by semantic interpretation mechanisms.

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Section: Resultsmentioning

confidence: 99%

A Fundamental Framework for Realizing Semantic Interoperability in a Multidatabase Environment

Kiyoki

Kitagawa

Hitomi

1995

ICA

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Parallel database algorithms for solving planning problems on very large databases

Ohmori¹,

Matsumoto²

1995

Systems & Computers in Japan

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SUMMARYThis paper discusses cooperative distributed planning problems using multiple agents that share a very large database. It is an important framework for planning by multiple agents with incomplete information, and for evaluating behavior strategies and negotiation manners. The specific issue involves distributed constraint-satisfymgproblems on databases. The problem is described as concurrent execution and repetitive execution of transactions, where each agent is deemed as a transaction that operates on a very large database. Therefore, we propose a highly efficient parallel database processing algorithm for these two basic operations.

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Design and implementation of system software for the super database computer SDC‐II

Nakamura¹,

Tamura²,

Takagi³

et al. 1996

Systems & Computers in Japan

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SUMMARYThe super database computer SDC-I1 is a backend massively parallel SQL server, designed for superhigh-speed processing of queries in relational database systems. The experimental system is composed of tightly coupled parallel processing modules, each containing up to seven CPUs, four disks and two data network interfaces, and a highly functional omega network connecting eight such modules. This paper describes first the parallel relational database processing system, and then proposes a query execution model for its efficient realization. The execution model uses four basic primitives (getpage, putpage, getFree and putFree), which are functions. Processing is performed pagewise using these basic operations. GetPage fetches a page from the disk read buffer, followed by getFree to acquire a free page from the free page pool. The results are sent to a disk write buffer with putpage, and putFree frees the page fetched from the read buffer. In other words, the processing progresses with the page moving around the system. The dataflow control for the input/output processes in the secondary memory for the efficient query processing are discussed in detail later. The method for avoiding and recovering from deadlock are described. Finally, the software system implemented on the SDC-I1 is considered describing its components and functions. Measurement results for the execution of the TPC-D benchmark are shown, indicating that efficient operation is realized.

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The software architecture of a parallel processing system for advanced database applications

Cited by 8 publications

References 15 publications

A Fundamental Framework for Realizing Semantic Interoperability in a Multidatabase Environment

A Fundamental Framework for Realizing Semantic Interoperability in a Multidatabase Environment

Parallel database algorithms for solving planning problems on very large databases

Design and implementation of system software for the super database computer SDC‐II

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