DocumentCode
1787452
Title
A Trust- and Load-Based Self-Optimization Algorithm for Organic Computing Systems
Author
Msadek, Nizar ; Kiefhaber, Rolf ; Ungerer, Theo
Author_Institution
Dept. of Comput. Sci., Univ. of Augsburg, Augsburg, Germany
fYear
2014
fDate
8-12 Sept. 2014
Firstpage
177
Lastpage
178
Abstract
In this paper a new design of self optimization for organic computing systems is investigated. Its main task, i.e., beside load-balancing, is to assign services with different importance levels to nodes so that the more important services are assigned to more trustworthy nodes. The evaluation results showed that the proposed algorithm is able to balance the workload between nodes nearly optimal. Moreover, it improves significantly the availability of important services.
Keywords
distributed processing; fault tolerant computing; resource allocation; self-adjusting systems; trusted computing; load-balancing; load-based self-optimization algorithm; organic computing systems; trust-based self-optimization algorithm; trustworthy nodes; Algorithm design and analysis; Availability; Computer network reliability; Conferences; Load management; Optimization; Runtime; Autonomic Computing; Organic Computing; Self-Optimization; Self-x Properties; Trust;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems (SASO), 2014 IEEE Eighth International Conference on
Conference_Location
London
Type
conf
DOI
10.1109/SASO.2014.32
Filename
7001015
Link To Document