During the last years, the increasing complexity of the communication networks and the continuously growing amount of data traffic has created great challenges for the network and service management. The Univerself project is currently designing a novel Unified Management Framework (UMF) consolidating autonomic and cognitive methods of the future Internet for business-driven service and network management. In this paper we describe our on-going work with one of the validation scenarios for autonomous load balancing in a wireless multiaccess environment. In the proof-of-concept prototype, we concentrate on monitoring of network nodes and autonomous resource optimization by using a Distributed Decision Engine and a multiaccess capable access selection. In addition, we introduce the required key components and place them into the scenario. At the end of the paper, we draw up the future plans. © 2012 IFIP International Federation for Information Processing.
CITATION STYLE
Rautio, T., & Mäkelä, J. (2012). A multiaccess enabled load balancing in cognitive networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7279 LNCS, pp. 42–45). https://doi.org/10.1007/978-3-642-30633-4_6
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