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.
This research has received funding from the research unit OC-Trust (FOR 1085) of the German Research Foundation (DFG).
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Msadek, N., Kiefhaber, R., Ungerer, T. (2015). Trustworthy Self-optimization in Organic Computing Environments. In: Pinho, L., Karl, W., Cohen, A., Brinkschulte, U. (eds) Architecture of Computing Systems – ARCS 2015. ARCS 2015. Lecture Notes in Computer Science(), vol 9017. Springer, Cham. https://doi.org/10.1007/978-3-319-16086-3_10
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DOI: https://doi.org/10.1007/978-3-319-16086-3_10
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