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An introduction to intelligent operating system KZ2

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Zhongxiu SunAuthors Info & Claims

ACM SIGOPS Operating Systems Review, Volume 29, Issue 1

Pages 29 - 46

https://doi.org/10.1145/202453.202459

Published: 11 January 1995 Publication History

Abstract

This paper proposes an intelligent operating system, KZ2, which is a new generation OS to manage the resources of massively parallel computing systems, to provide a friendly human-computer interface, and control the execution of programs based on knowledge processing and parallel processing. A knowledge based demonstrative example is also described in the paper to show how KZ2 improves the functions and performance of existing operating systems.

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Cited By

Geetha RParthasarathy V(2020)RETRACTED ARTICLE: An advanced artificial intelligence technique for resource allocation by investigating and scheduling parallel-distributed request/response handlingJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02334-y12:7(6899-6909)Online publication date: 22-Jul-2020
https://doi.org/10.1007/s12652-020-02334-y

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An introduction to intelligent operating system KZ2

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Published In

cover image ACM SIGOPS Operating Systems Review

ACM SIGOPS Operating Systems Review Volume 29, Issue 1

Jan. 1995

94 pages

ISSN:0163-5980

DOI:10.1145/202453

Editor:
William M. Waite
Univ. of Colorado, Boulder

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Copyright © 1995 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 11 January 1995

Published in SIGOPS Volume 29, Issue 1

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Cited By

Geetha RParthasarathy V(2020)RETRACTED ARTICLE: An advanced artificial intelligence technique for resource allocation by investigating and scheduling parallel-distributed request/response handlingJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02334-y12:7(6899-6909)Online publication date: 22-Jul-2020
https://doi.org/10.1007/s12652-020-02334-y

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