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Friday, 23 June 2017 21:37

Special Issue "Softwarization and Caching in NGN" available online

Elsevier Computer Networks Special Issue is available online June 2017

The evolution of communications and networking is changing the world we are living in by reducing response time and increasing throughput for existing and new applications. To this end, network and service operators are introducing new forms of softwarization and caching to meet more stringent application, user and content demands. Communication networks and the associated infrastructure are facing new paradigms like Software Defined Networking (SDN) and Network Function Virtualization (NFV), while caching networks like content delivery networks (CDN) or information-centric networking (ICN) architectures aim at providing Quality of Service and Quality of Experience. The question arises as to what the impact is on the ever-increasing speed, scalability, and flexibility of new communication technologies, networks, user devices, and applications, and the ever-changing operational challenges arising from these developments.

The scope of this Special Issue of Computer Networks addresses the latest advances and challenges in design, modeling, measurement, and performance evaluation of softwarization and caching in next generation networks (NGN). Thereby, the special issue is linked to the 28th International Teletraffic Congress (ITC 28), which was held on 12-16 September 2016 at the University of Würzburg, Germany. The guest editors of this special issue were also the TPC chairs of ITC 28 and invited extended versions of the outstanding contributions from the related four sessions: caching strategies, caching, softwarization, and virtualization, see also the conference report[1].  In the open call for papers, 30 papers were finally submitted, including the invited papers from ITC 28. All received submissions were reviewed by at least three experts in the field.

Special issue available at doi.org/10.1016/j.comnet.2017.06.023

 

Guest Editors

 

  • Tobias Hoßfeld, University of Duisburg-Essen, Germany
  • Gary Chan, The Hong Kong University of Science and Technology, China
  • Brian Mark, George Mason University, U.S.A.
  • Andreas Timm-Giel, Hamburg University of Technology, Germany 

 


[1] ITC 28 Conference report, online at itc28.org/en/report.html. A shorter version has been published in ACM SIGCOMM Computer Communication Review, Volume 47 Issue 2, April 2017, DOI: 10.1145/3089262.3089268

 

 

By: Hoßfeld, Tobias