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
收藏
页码：24 / 33
页数：10
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