A Multiaccess Enabled Load Balancing in Cognitive Networks

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• 作者：Teemu Rautio (1) teemu.rautio@vtt.fi
  Jukka M?kel? (1) jukka.makela@vtt.fi
• 关键词：autonomous network management – load balancing – distributed decision making – multi ; access
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7279
• 期：1
• 页码：42-45
• 全文大小：350.9 KB
• 参考文献：1. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update (2010-2015), http://www.cisco.com/go/vni
  2. Univerself Project, http://www.univerself-project.eu/
  3. Nguengang, G., et al.: UMF Specifications, Release 1. Univerself project deliverable D2.1 (2011), http://www.univerself-project.eu/technical-reports
  4. Pentikousis, K., Rautio, T.: A multiaccess network of information. In: IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM), pp. 1–9 (June 2010)
  5. M?kel?, J., et al.: Distributed information service architecture for overlapping multi-access networks. International Journal of Multimedia Tools and Applications (2011)
  6. Zadeh, L.A., et al.: Fuzzy Sets, Fuzzy Logic, Fuzzy Systems. World Scientific Press (1996) ISBN 9810224214
• 作者单位：1. VTT Technical Research Centre of Finland, Kaitov?yl? 1, FI-90571 Oulu, Finland
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

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.