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Description
Title: | Probabilistic Analysis and Scheduling of Critical Soft Real -Time Systems |
Author(s): | Gardner, Mark K. |
Doctoral Committee Chair(s): | Liu, Jane W.S. |
Department / Program: | Computer Science |
Discipline: | Computer Science |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | Engineering, System Science |
Abstract: | Allowing a real-time system to miss some deadlines in exchange for better average performance increases the possibility of overload. While overload in real-time systems has been studied, the emphasis has been on hard real-time systems in which overload is an exception whose occurrence is to be minimized. In contrast, critical soft real-time systems can be repeatedly overloaded during normal operation. Therefore, we have evaluated the performance of various real-time scheduling algorithms for critical soft real-time systems, including two new classes of algorithms, on workloads with execution and inter-release time variations, both with and without dependencies. |
Issue Date: | 1999 |
Type: | Text |
Language: | English |
Description: | 196 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999. |
URI: | http://hdl.handle.net/2142/81955 |
Other Identifier(s): | (MiAaPQ)AAI9953022 |
Date Available in IDEALS: | 2015-09-25 |
Date Deposited: | 1999 |
This item appears in the following Collection(s)
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Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois