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 :
بازگشت