Translation of probabilistic QoS in hierarchical and decentralized settings

In this paper we build on methods from probabilistic management for overcoming two issues in the translation of QoS into configurations of network nodes in dynamic, decentralized, and hierarchical networks. First, the inherent uncertainty about node performance in such networks (due to network dynamics) may impede adequate specification of QoS. We suggest how a probabilistic variant of QoS via optimization can be translated into objectives that can be handled with probabilistic management methods. Second, the dynamics of the network may make the interpretation of QoS dependent on the availability of network resources. We use methods from probabilistic management to suggest how the expression of QoS may be restricted in order to be able to ensure the existence of a translation of given QoS. The suggestions are applied to our own network architecture. The aim is to further develop our approach to a viable management solution for cloud computing and virtualized networks.