Edge computing enabling the Internet of Things

Mobile Edge Computing (MEC), a new concept that emerged about a year ago, integrating the IT and the Telecom worlds will have a great impact on the openness of the Telecom market. Furthermore, the virtualization revolution that has enabled the Cloud computing success will benefit the Telecom domain, which in turn will be able to support the IaaS (Infrastructure as a Service). The main objective of MEC solution is the export of some Cloud capabilities to the user's proximity decreasing the latency, augmenting the available bandwidth and decreasing the load on the core network. On the other hand, the Internet of Things (IoT), the Internet of the future, has benefited from the proliferation in the mobile phones' usage. Many mobile applications have been developed to connect a world of things (wearables, home automation systems, sensors, RFID tags etc.) to the Internet. Even if it is not a complete solution for a scalable IoT architecture but the time sensitive IoT applications (e-healthcare, real time monitoring, etc.) will profit from the MEC architecture. Furthermore, IoT can extend this paradigm to other areas (e.g. Vehicular Ad-hoc NETworks) with the use of Software Defined Network (SDN) orchestration to cope with the challenges hindering the IoT real deployment, as we will illustrate in this paper.

[1]  Yacine Ghamri-Doudane,et al.  Software defined networking-based vehicular Adhoc Network with Fog Computing , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[2]  Prabal Dutta,et al.  The Internet of Things Has a Gateway Problem , 2015, HotMobile.

[3]  Dave Evans,et al.  How the Next Evolution of the Internet Is Changing Everything , 2011 .

[4]  Sachin Katti,et al.  SoftRAN: software defined radio access network , 2013, HotSDN '13.

[5]  Eui-nam Huh,et al.  Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT , 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications.

[6]  Tom H. Luan,et al.  Fog Computing: Focusing on Mobile Users at the Edge , 2015, ArXiv.

[7]  José Costa-Requena,et al.  SDN and NFV integration in generalized mobile network architecture , 2015, 2015 European Conference on Networks and Communications (EuCNC).

[8]  Ivan Stojmenovic,et al.  Fog computing: A cloud to the ground support for smart things and machine-to-machine networks , 2014, 2014 Australasian Telecommunication Networks and Applications Conference (ATNAC).

[9]  N. B. Anuar,et al.  The rise of "big data" on cloud computing: Review and open research issues , 2015, Inf. Syst..

[10]  Nick Feamster,et al.  Improving network management with software defined networking , 2013, IEEE Commun. Mag..

[11]  Grace A. Lewis,et al.  Mobile computing at the edge (keynote) , 2014, MOBILESoft 2014.

[12]  Jan Medved,et al.  OpenDaylight: Towards a Model-Driven SDN Controller architecture , 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

[13]  Mario Nemirovsky,et al.  Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing , 2014, 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[14]  Antonio Manzalini,et al.  Horizon 2020 and Beyond: On the 5G Operating System for a True Digital Society , 2015, IEEE Vehicular Technology Magazine.

[15]  Xin Jin,et al.  SoftCell: scalable and flexible cellular core network architecture , 2013, CoNEXT.

[16]  Qun Li,et al.  A Survey of Fog Computing: Concepts, Applications and Issues , 2015, Mobidata@MobiHoc.

[17]  Kin K. Leung,et al.  Dynamic service migration in mobile edge-clouds , 2015, 2015 IFIP Networking Conference (IFIP Networking).

[18]  Pavlin Radoslavov,et al.  ONOS: towards an open, distributed SDN OS , 2014, HotSDN.

[19]  Mohsen Guizani,et al.  Toward better horizontal integration among IoT services , 2015, IEEE Communications Magazine.

[20]  Ayman I. Kayssi,et al.  An architecture for the Internet of Things with decentralized data and centralized control , 2015, 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA).

[21]  Tinku Mohamed Rasheed,et al.  Cellular software defined networking: a framework , 2015, IEEE Communications Magazine.

[22]  Asit Chakraborti,et al.  Towards software defined ICN based edge-cloud services , 2013, 2013 IEEE 2nd International Conference on Cloud Networking (CloudNet).

[23]  Martín Casado,et al.  Onix: A Distributed Control Platform for Large-scale Production Networks , 2010, OSDI.

[24]  T. V. Lakshman,et al.  Bringing the cloud to the edge , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[25]  Seiichi Koizumi,et al.  SDN + cloud integrated control with statistical analysis and discrete event simulation , 2015, 2015 International Conference on Information Networking (ICOIN).