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  Scalable Multimedia Disk Scheduling

Elbassioni, K. (2004). Scalable Multimedia Disk Scheduling. In 20th International Conference on Data Engineering, ICDE 2004 (pp. 498-509). Los Alamitos, USA: IEEE.

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 Creators:
Elbassioni, Khaled1, Author           
Mokbel, Mohamed F., Editor
Aref, Walid G., Editor
Kamel, Ibrahim, Editor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: A new multimedia disk scheduling algorithm, termed Cascaded-SFC, is presented. The Cascaded-SFC multimedia disk scheduler is applicable in environments where multimedia data requests arrive with different quality of service (QoS) requirements such as real-time deadline and user priority. Previous work on disk scheduling has focused on optimizing the seek times and/or meeting the real-time deadlines. The Cascaded-SFC disk scheduler provides a unified framework for multimedia disk scheduling that scales with the number of scheduling parameters. The general idea is based on modeling the multimedia disk requests as points in multiple multi-dimensional sub-spaces, where each of the dimensions represents one of the parameters (e.g., one dimension represents the request deadline, another represents the disk cylinder number, and a third dimension represents the priority of the request, etc.). Each multi-dimensional sub-space represents a subset of the QoS parameters that share some common scheduling characteristics. Then the multimedia disk scheduling problem reduces to the problem of finding a linear order to traverse the multi-dimensional points in each sub-space. Multiple space-filling curves are selected to fit the scheduling needs of the QoS parameters in each sub-space. The orders in each sub-space are integrated in a cascaded way to provide a total order for the whole space. Comprehensive experiments demonstrate the efficiency and scalability of the Cascaded-SFC disk scheduling algorithm over other disk schedulers.

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Language(s): eng - English
 Dates: 2005-04-212004
 Publication Status: Issued
 Pages: -
 Publishing info: Los Alamitos, USA : IEEE
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231193
Other: Local-ID: C1256428004B93B8-49B9CE582EADDFEAC1256FB1004B66A2-Elbassioni2004f
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Title: Untitled Event
Place of Event: Boston, USA
Start-/End Date: 2004-03-30

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Title: 20th International Conference on Data Engineering, ICDE 2004
Source Genre: Proceedings
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Publ. Info: Los Alamitos, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 498 - 509 Identifier: ISBN: 0-7695-2065-0