-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Journal of Cloud Computing SI on Edge-cloud computing cooperation for task offloading in internet-of-things Datum: Thu, 19 Mar 2020 14:43:49 +0800 Von: wu huaming whming@TJU.EDU.CN Antwort an: wu huaming whming@TJU.EDU.CN An: tccc-announce@COMSOC.ORG

Dear Colleagues, You are cordially invited to submit your latest research findings to the Journal of Cloud Computing https://journalofcloudcomputing.springeropen.com/ special issue on: Edge-cloud computing cooperation for task offloading in internet-of-things

https://journalofcloudcomputing.springeropen.com/edgecloudoffloading https://journalofcloudcomputing.springeropen.com/edgecloudoffloading With the fast development trend of Internet of Things (IoTs), the demand for User Terminals (UTs) such as smartphones, unmanned aerial vehicles, and wearable devices is increasing dramatically. However, UTs are constrained by limited resources, such as CPU computing power, storage space, energy capacities, environmental awareness and complex computing tasks. To solve the above contradictions, one effective way is to offload complex computing tasks from UTs either to remote cloud servers or nearby edge servers. Compared to cloud servers, edge servers are closer to UTs and thus achieve lower latency; however, edge servers have low computing capacity while cloud servers have relatively sufficient computing power. Therefore, edge computing and cloud computing can cooperate and complement with each other in terms of computing, storage, and communication facilities. The combination of edge and cloud computing will make task execution faster, cheaper, and more stable.

This thematic series is devoted to state-of-the-art research covering concepts of task offloading technologies for IoT applications. It is of great significance to the rapid promotion of collaboration between Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC). With the continuous development of theory and methods of decision-making and thorough perception of the hybrid task offloading, and further meets the application requirements on UTs, compensates for the lack of computing capacity and limited battery power for IoT systems.

Topics of interest include but are not limited to:

Computing paradigm frontiers: edge, fog, mist and cloud computing cooperation Optimization algorithms for edge-cloud computing cooperation Delay and energy minimization for edge-cloud computing cooperation Novel techniques and future perspectives for edge-cloud computing cooperation Energy-efficient task offloading in edge-cloud computing environments 5G-enabled services for task offloading in edge-cloud computing environments Security and privacy issues for task offloading with hybrid clouds in IoTs Model and architecture design for computation offloading, resource management and task scheduling in IoTs Computation and communication integration for task offloading in IoTs High-performance low-cost communication task offloading in IoTs Sustainable and green computing for task offloading in IoTs Deep learning-driven algorithms for task offloading in IoTs The complete manuscript should be submitted through the Journal of Cloud Computing submission system http://www.editorialmanager.com/clco/default.aspx.

Submission Deadline: 1 Sep 2020

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

Lead guest editor:

Huaming Wu, Tianjin University, China

Guest editors:

Adel Nadjaran Toosi, Monash University, Australia Sukhpal Singh Gill, Queen Mary University of London, UK Minxian Xu, Shenzhen Institutes of Advanced Technology, CAS, China ______________________________________________________________ IEEE Communications Society Tech. Committee on Computer Communications http://committees.comsoc.org/tccc/ TCCC Announce: For announcements concerning computer networking and communications. tccc-announce@comsoc.org https://comsoc-listserv.ieee.org/