Sustainability in Mixed-Criticality Scheduling

被引：5

作者：

Guo, Zhishan ^{[1
]}

Sruti, Sai ^{[1
]}

Ward, Bryan C. ^{[2
]}

Baruah, Sanjoy ^{[3
]}

机构：

[1] Missouri Univ Sci & Technol, Dept Comp Sci, Rolla, MO 65409 USA

[2] MIT, Lincoln Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[3] Washington Univ, Dept Comp Sci & Engn, St Louis, MO USA

来源：

2017 IEEE REAL-TIME SYSTEMS SYMPOSIUM (RTSS) | 2017年

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/RTSS.2017.00010

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Sustainability is a formalization of the requirement for scheduling algorithms and schedulability tests that a system deemed to be correctly schedulable should remain so if its run-time behavior is better than anticipated. The notion of sustainability is extended to mixed-criticality systems, and sustainability properties are determined for a variety of widely-studied uniprocessor and multi-processor mixed-criticality scheduling algorithms.

引用

页码：24 / 33

页数：10

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