Paper Info
Title
Analyzing the Overhead of Self-Optimization through Task Migration within a Decentralized Task Control Mechanism for Dependable System-on-Chip Architectures
Abstract
This article presents our concept of an artificial hormone system for realizing a completely decentralized selforganizing and real-time capable task control mechanism using self-X properties. Besides the fundamentals of the prior hormone concept and the implementation model, we present latest results of our research: specification and analysis of an accurate timing model according the self-optimization procedure, using global task migration across a redundant multi-core SoC architecture. Furthermore we validate and compare the overhead in task migration towards the performance gain in execution, leading to first assessment in efficiency and profitability of the migration based optimization schemes.
Year
DOI
Venue
2014
10.1109/ISORC.2014.29
ISORC
Keywords
Field
DocType
artificial hormone system,optimisation,heterogeneous system-on-chip,decentralized self-organizing,decentralized task control mechanism,performance gain,redundant multicore soc architecture,self-optimization procedure,migration efficiency,system-on-chip,reliability,global task migration,decentralized,self-x properties,migration profitability,decentralised control,dependable system-on-chip architectures,real-time capable task control mechanism,overhead analysis,optimization,real time systems,silicon,system on chip,biochemistry
Architecture,System on a chip,Computer science,Real-time computing,Self-optimization,Profitability index,Distributed computing
Conference
ISSN
Citations 
PageRank 
1555-0885
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Benjamin Betting162.59
Uwe Brinkschulte241252.57