Accession Number : ADA116604

Title :   Some Mathematical Methods for Modeling the Performance of a Distributed Data Base System.

Descriptive Note : Professional paper,

Corporate Author : CENTER FOR NAVAL ANALYSES ALEXANDRIA VA MARINE CORPS OPERATIONS ANALYSIS GROUP

Personal Author(s) : Barfoot,C Bernard

PDF Url : ADA116604

Report Date : Jun 1982

Pagination or Media Count : 25

Abstract : This paper presents some mathematical methods for evaluating the performance of a distributed data base system (DDBS). Performance is measured by the speed and accuracy with which data are transmitted from one location to another. Five techniques are described: the Data Flow Model, a semi-Markov model for determining the spatial and temporal distribution of data that are to be transferred from one location to another; Optimal Sample Size Estimation, a method for determining the amount of data to be collected for input to the Data Flow Model; Confidence Interval Estimation, a method for estimating confidence intervals for the outputs of the Data Flow Model; Sensitivity Estimation, a method for estimating the sensitivity of DDBS performance to changes in the parameters of the Data Flow Model; and the Aggregation of Stratified Semi-Markov Processes, a method for combining semi-Markov Data Flow Models developed for subsystems (e.g., geographic regions) into a single model that is representative of the entire DDBS. (Author)

Descriptors :   *DISTRIBUTED DATA PROCESSING, *DATA BASES, *PERFORMANCE(ENGINEERING), *MATHEMATICAL MODELS, NUMERICAL METHODS AND PROCEDURES, DATA TRANSMISSION SYSTEMS, INFORMATION TRANSFER, DATA ACQUISITION, CONFIDENCE LIMITS, TEST AND EVALUATION, SEMIMARKOV PROCESSES, DATA REDUCTION, INPUT, SENSITIVITY, PARAMETERS

Subject Categories : Statistics and Probability
      Computer Systems

Distribution Statement : APPROVED FOR PUBLIC RELEASE