-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Fog/Mobile Edge Computing for Internet of Things: Applications and Architectures for Real-Time Analytics Datum: Thu, 26 Oct 2017 12:06:04 +0500 Von: Muhammad Habib ur Rehman habibcomsats@GMAIL.COM Antwort an: Muhammad Habib ur Rehman habibcomsats@GMAIL.COM An: tccc-announce@COMSOC.ORG

[Apologies for cross-posting]

The Internet of Things (IoT) is a new Internet evolution that involves connecting billions of internet-connected devices we refer to as things. With the explosion of things (expected to be 50 billion devices by 2020), cloud computing is challenged in meeting the data processing and computational demands of IoT applications. An emerging approach is to move computation, data, and control from cloud to the edge of the network commonly referred to as Fog/Mobile Edge (FME). The FME enables IoT applications to meet their latency/delay requirements, improve scalability and energy efficiency of IoT devices, and provide the means for contextual information processing, as well as mitigating the bandwidth burdens of the network. FME provides immense opportunities and capabilities such as geographical distribution, geolocation awareness and device context, support for mobility of devices and access to multitude of network interfaces (from 4G and 5G to Wi-Fi). Such features help satisfy the real-time processing requirements of IoT applications such as flood monitoring, disaster detection and management (e.g., earthquakes), and patient care. However, the massive mobility of IoT edge devices, heterogeneity in communication interfaces, new and emerging communication architectures (e.g., LTE, 5G), emerging network technologies (e.g., SDN, NFV), security and privacy concerns, processing capabilities/limitation of FME servers, and IoT Big Data demand new methods, architectures, and applications in order to realize the full potential of FME for IoT applications.

This special issue encourages high quality submissions related to the provision and development of real-time analytics-based IoT applications that exploit the capabilities offered by Fog/Mobile Edge computing. In particular, it aims to examine the prospects and challenges that arise in developing novel Fog/Mobile Edge computing architectures and applications that can address the challenges highlighted earlier. We also welcome quality review articles, which cover gap analysis between the state of the art and the state of the practice in the above area.

Potential topics include but are not limited to the following:

- - New Fog/Mobile Edge computing architecture for data sensing and analysis - - Simulation and emulation of IoT application in Fog/Mobile Edge - - Algorithms and techniques for computation offloading from Cloud to Fog/Mobile Edge - - Context management in Fog/Mobile Edge computing - - Collaborative Fog/Mobile Edge computing in 5G networks - - Beyond LTE and 5G—new networking architectures, for example, SDN, network function virtualization (NFV) to support IoT applications - - Resource allocation in Radio Access networks to support data driven IoT applications - - QoS/QoE provisioning in Fog/Mobile Edge - - Secure network and service access in Fog/Mobile Edge - - Privacy preserved analytics in Fog/Mobile Edge - - Interference control, mitigation, and cancellation in Fog/Mobile Edge Computing - - Cooperative schemes and resource management for interference mitigation in Fog/Mobile Edge computing - - New Fog/Mobile Edge data-analytics IoT applications and experiences - - Open issues, challenges, and future perspective of Fog/Mobile Edge computing - - Utilization-awareness network schemes for Fog/Mobile Edge

Authors can submit their manuscripts through the Manuscript Tracking System athttps://mts.hindawi.com/submit/journals/wcmc/fecit/. Submission Deadline Friday, 26 January 2018 Publication Date June 2018

Papers are published upon acceptance, regardless of the Special Issue publication date. Lead Guest Editor

- Prem Prakash Jayaraman pjayaraman@swin.edu.au, Swinburne University of Technology, Melbourne, Australia

Guest Editors

- Martin Serrano martin.serrano@insight-centre.org, National University of Ireland, Galway, Ireland - Pari Delir Haghighi pari.delirhaghighi@monash.edu, Monash University, Melbourne, Australia - Muhammad Habib ur Rehman mhrehman@siswa.um.edu.my, COMSATS Institute of Information Technology, Islamabad, Pakistan - Enrico Natalizio enrico.natalizio@hds.utc.fr, Université de Technologie de Compiègne, Compiègne, France - Sanjay Madria madrias@mst.edu, Missouri University of Science and Technology, Rolla, USA