Accession Number : ADA113623
Title : Work Distribution in a Fully Distributed Processing System.
Descriptive Note : Technical rept.,
Corporate Author : GEORGIA INST OF TECH ATLANTA SCHOOL OF INFORMATION AND COMPUTER SCIENCE
Personal Author(s) : Sharp,Donald D , Jr
PDF Url : ADA113623
Report Date : Jan 1982
Pagination or Media Count : 159
Abstract : In a fully distributed data processing system, work requests may be generated by either users or executing processes. The servicing of each work request requires the use of a set or collection of system resources. Multiple copies of the resources required may be present within the overall system. The problem is to select the specific instances of these resources (needed for the execution of each process generated from the work request) so that average user response time will be minimized and system throughput will be maximized. This thesis investigates the work distribution problem by using a simulation model to analyze the performance of three work distribution algorithms in test cases which simulated various network conditions. The first work distribution algorithm attempts to minimize communications between the network nodes, the second algorithms tries to balance the processing load on the processors at each node, and the third algorithm is a combination of the other two. The results of the simulation experiment showed that the algorithm that attempts to minimize communications was better than the other two algorithms in terms of minimizing average user response time under the specific conditions tested. The performance of this algorithm was especially good with low bandwidths, with a global bus topology, and with multiple file copies.
Descriptors : *Distributed data processing, *User needs, *Systems management, Experimental design, Computerized simulation, Work, Scheduling, Algorithms, Networks, Nodes, Test and evaluation, Load distribution, Performance tests, Optimization, Balance, Throughput, Comparison, Response, Topology, Computer files, Redundancy, Bandwidth, Resource management
Subject Categories : Administration and Management
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE