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Abstract: We study the problem of scheduling I/O requests for tertiary storage libraries to improve performance. The focus is on scheduling policies that process all requests on a loaded medium before unloading it. For single drive settings an efficient algorithm that produces optimal schedules is developed. For multiple drives the problem is shown to be NP-Complete. Efficient and effective heuristics are presented for the multiple drives case. The scheduling policies developed achieve significant... (Update)
Context of citations to this paper: More
.... [CDK 95, SS94] In contrast to other studies, we have explored the problem of scheduling requests for more than one medium [PAES97b] Due to the great difference in speeds between the processors and tertiary storage, we expect that request traffic will be bursty....
...other is random access) our study is general enough to be applicable to both. Preliminary results were presented in an earlier workshop [PAES97] The rest of this paper is organized as follows. Section 2 describes the problem and discusses related work. Section 3 addresses the...
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BibTeX entry: (Update)
S. Prabhakar, D. Agrawal, A. E. Abbadi, and A. Singh. Scheduling tertiary I/O in database applications. In Proceedings of Eight International Workshop on Database and Expert Systems Applications, pages 722--727, Toulouse. France, September 1997. http://citeseer.ist.psu.edu/prabhakar97scheduling.html More
@inproceedings{ prabhakar97scheduling,
author = "Sunil Prabhakar and Divyakant Agrawal and Amr El Abbadi and Ambuj K. Singh",
title = "Scheduling Tertiary I/O in Database Applications",
booktitle = "{DEXA} Workshop",
pages = "722-727",
year = "1997",
url = "citeseer.ist.psu.edu/prabhakar97scheduling.html" }
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scheduling in online tertiary storage (context) - Hillyer, Silberschatz - 1996
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scheduling in tertiary libraries (context) - Prabhakar, Agrawal et al. - 1996
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