Application of df/ihs to minimum total weighted flow time multiprocessor scheduling problems

Hironori Kasahara*, Munenori Kai, Seinosuke Narita, Hidehiko Wada

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In most cases, the scheduling problem for the multiprocessor system is NP‐ or strong NP‐hard. For this problem, we have already proposed a practical optimization algorithm DF/IHS (Depth First/Implicit Heuristic Search), which combines the list‐scheduling algorithm and the depth‐first search, for the minimum parallel processing time multiprocessors scheduling problem. This paper presents a result of application of DF/IHS to the minimum total weighted flow time problem, which is used in the optimization of memory utilization. The problem of allocating tasks to m processors is considered with or without precedence constraints among the tasks. It was verified that the DF/IHS can be applied to this kind of problem very effectively, where the optimal or highly accurate approximate solution is obtained for the large‐scale problem with several hundreds of tasks.

Original languageEnglish
Pages (from-to)25-34
Number of pages10
JournalSystems and Computers in Japan
Issue number6
Publication statusPublished - 1988 Jun

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics


Dive into the research topics of 'Application of df/ihs to minimum total weighted flow time multiprocessor scheduling problems'. Together they form a unique fingerprint.

Cite this