Using UML-based rate monotonic analysis to predict schedulability

Timeliness is essential in real-time systems, in which a late response is sometimes worse than no response at all because the violation of a single deadline could lead to loss of life or property. System analysts use an appropriate scheduling algorithm to ensure the predictability of such a system....

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Published in:Computer (Long Beach, Calif.) Calif.), 2004-10, Vol.37 (10), p.56-63
Main Authors: Saiedian, H., Raghuraman, S.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Computer simulation
Dynamic scheduling
Job shop scheduling
Mathematical models
Object oriented
Object oriented modeling
Object-oriented programming
Processor scheduling
Programming languages
Real time
Real time systems
Schedules
Scheduling
Scheduling algorithm
Systems analysis
Technology management
Timing
Unified Modeling Language
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description Timeliness is essential in real-time systems, in which a late response is sometimes worse than no response at all because the violation of a single deadline could lead to loss of life or property. System analysts use an appropriate scheduling algorithm to ensure the predictability of such a system. The Object Management Group's adoption of the UML profile for schedulability, performance, and timeliness has increased interest in using UML and object-oriented technology to model and implement real-time systems. Rate monotonic analysis (RMA) is an extensively researched and successfully implemented technique that can be used in conjunction with the UML profile to analyze schedulability in these systems.
doi_str_mv 10.1109/MC.2004.183
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subjects Algorithm design and analysis
Algorithms
Computer simulation
Dynamic scheduling
Job shop scheduling
Mathematical models
Object oriented
Object oriented modeling
Object-oriented programming
Processor scheduling
Programming languages
Real time
Real time systems
Schedules
Scheduling
Scheduling algorithm
Systems analysis
Technology management
Timing
Unified Modeling Language
title Using UML-based rate monotonic analysis to predict schedulability
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