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Using UML-Based Rate Monotonic Analysis to Predict Schedulability
October 2004 (vol. 37 no. 10)
pp. 56-63
ASCII Text
x 
 
Hossein Saiedian, Srikrishnan Raguraman, "Using UML-Based Rate Monotonic Analysis to Predict Schedulability," Computer, vol. 37, no. 10, pp. 56-63, October, 2004.
 
 
BibTex
x
 
@article{ 10.1109/MC.2004.183,
author = {Hossein Saiedian and Srikrishnan Raguraman},
title = {Using UML-Based Rate Monotonic Analysis to Predict Schedulability},
journal ={Computer},
volume = {37},
number = {10},
issn = {0018-9162},
year = {2004},
pages = {56-63},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2004.183},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Using UML-Based Rate Monotonic Analysis to Predict Schedulability
IS - 10
SN - 0018-9162
SP56
EP63
EPD - 56-63
A1 - Hossein Saiedian,
A1 - Srikrishnan Raguraman,
PY - 2004
VL - 37
JA - Computer
ER -
 
Hossein Saiedian, The University of Kansas
Srikrishnan Raguraman, Kansas State University
To create a predictable real-time system --one in which the timing behavior always falls within an acceptable range--designers must know each task's period, deadline, and worstcase execution time. System analysts use an appropriate scheduling algorithm to ensure the predictability of such a system.

Rate monotonic analysis is an extensively researched and successfully implemented technique that can be used in conjunction with the Object Management Group?s UML profile for schedulability, performance, and timeliness to analyze schedulability in these systems.

Citation:
Hossein Saiedian, Srikrishnan Raguraman, "Using UML-Based Rate Monotonic Analysis to Predict Schedulability," Computer, vol. 37, no. 10, pp. 56-63, Oct. 2004, doi:10.1109/MC.2004.183
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