An Empirical Investigation of Load Indices for Load Balancing Applications

Abstract

In this paper, we empirically evaluate the quality of several load indices in the context of dynamic load balancing. We have implemented a load balancer for Sun/UNIX(Trademark) environments. In our experimental setup, six Sun-2 workstations were driven by job scripts, and job response times were measured while loads were being balanced and various load indices used to make job placement decisions. We study the effects on performance of the choice of load index, the averaging interval, the load information exchange period, and the characteristics of the workload. Measurements show that the performance benefits of load balancing are indeed strongly dependent upon the load index. Load indices based on resource queue lengths are found to perform better than those based on resource utilization, and the use of an exponential smoothing method yields further improvement over that of instantaneous queue lengths.

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Document Details

Document Type
Technical Report
Publication Date
Aug 06, 1987
Accession Number
ADA184250

Entities

People

  • Domenico Ferrari
  • Songnian Zhou

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • California
  • Case Studies
  • Computer Networks
  • Computer Science
  • Computers
  • Databases
  • Distributed Computing
  • Dynamic Loads
  • Environment
  • Frequency
  • Information Exchange
  • Intervals
  • Measurement
  • Servers (Computer Hardware)
  • Workload

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Mathematical Modeling and Probability Theory.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).