A Multiaccess Enabled Load Balancing in Cognitive Networks

Abstract : 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.
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Communication dans un congrès
Ramin Sadre; Jiří Novotný; Pavel Čeleda; Martin Waldburger; Burkhard Stiller. 6th International Conference on Autonomous Infrastructure (AIMS), Jun 2012, Luxembourg, Luxembourg. Springer, Lecture Notes in Computer Science, LNCS-7279, pp.42-45, 2012, Dependable Networks and Services. 〈10.1007/978-3-642-30633-4_6〉
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Teemu Rautio, Jukka Mäkelä. A Multiaccess Enabled Load Balancing in Cognitive Networks. Ramin Sadre; Jiří Novotný; Pavel Čeleda; Martin Waldburger; Burkhard Stiller. 6th International Conference on Autonomous Infrastructure (AIMS), Jun 2012, Luxembourg, Luxembourg. Springer, Lecture Notes in Computer Science, LNCS-7279, pp.42-45, 2012, Dependable Networks and Services. 〈10.1007/978-3-642-30633-4_6〉. 〈hal-01529781〉

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