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Intelligent Central Database System for Synchronized Distributed Processing of Large Hydrologic Packages in Local Area Networks

by Ali Unal, McMaster Univ, Hamilton, Ont, Canada,
William James, McMaster Univ, Hamilton, Ont, Canada,



Document Type: Proceeding Paper

Part of: Water Forum '86: World Water Issues in Evolution

Abstract:

The nodes of a local area network can be dedicated to the independent routines of a large hydrologic/hydraulic package. The server of the network can be dedicated to the control of the overall operation, if it contains an intelligent database manager which is primarily dedicated to control the time series data flow between the nodes and the central database of the system. During a distributed data processing application, the nodes of the network should not wait for data to arrive for an unreasonable span of time. To increase accuracy, timing functions in the central controller are updated every time a routine is executed with a new input file. The intelligent central control system acknowledges each unique experience, compares with its database and makes decisions on that basis. The paper describes the Computational Hydraulics Group-Hydrologic Work Group System (CHG-HWGS) which is operational in a local area network of IBM-PC compatibles. CHG-HWGS incorporates some aspects of an intelligent time series manager which has built in features for distributed processing.

Subject Headings: Databases | Distribution functions | Hydrology | Hydrologic models | Artificial intelligence (AI) | Time series analysis | Managers

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