Title
Trustworthy Self-Optimization In Organic Computing Environments
Abstract
In this paper, we present a self-optimization approach that does not only consider pure load-balancing but also takes into account trust to improve the assignment of important services to trustworthy nodes. Our approach uses different optimization strategies to determine whether a service should be transferred to another node or not. The evaluation results showed that the proposed approach is able to balance the workload between nodes nearly optimal. Moreover, it improves significantly the availability of important services, i.e., the achieved availability was no lower than 85% of the maximum theoretical availability value.
Year
DOI
Venue
2015
10.1007/978-3-319-16086-3_10
ARCHITECTURE OF COMPUTING SYSTEMS - ARCS 2015
Keywords
Field
DocType
Organic computing, Autonomic computing, Trust, Self-x properties, Self-optimization
Autonomic computing,Trustworthiness,Computer science,Workload,Real-time computing,Self-optimization,Organic computing,Distributed computing
Conference
Volume
ISSN
Citations 
9017
0302-9743
3
PageRank 
References 
Authors
0.39
10
3
Name
Order
Citations
PageRank
Nizar Msadek1163.04
Rolf Kiefhaber2787.84
Theo Ungerer31262136.24