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

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

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)25-34
ページ数10
ジャーナルSystems and Computers in Japan
19
6
DOI
出版ステータスPublished - 1988 6

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • 情報システム
  • ハードウェアとアーキテクチャ
  • 計算理論と計算数学

フィンガープリント

「Application of df/ihs to minimum total weighted flow time multiprocessor scheduling problems」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル