Intelligent scheduler for processing help requests on unrelated parallel machines in a computer support administration system

Kristina Anastasova, Moshe Dror

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

This paper describes an application-oriented examination of an automated online support process for the Center of Computing and Information Technology at The University of Arizona. The online consulting activity at the Center is modeled as a set of unrelated parallel machines, the consultants, which process a stream of incoming jobs, the online help requests. Automatic Indexing, a type of Natural Language Processing, is applied to each job to estimate its machine dependent processing time. Following the time estimation scheme, we develop an online scheduling procedure whose objective is to minimize the mean flow time (reflecting perceived quality of service).

Original languageEnglish (US)
Pages (from-to)372-377
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
StatePublished - Dec 1 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - San Diego, CA, USA
Duration: Oct 11 1998Oct 14 1998

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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