-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] IOIoT 2020 CFP: The Workshop on Intelligent Offloading for Internet of Things, Honolulu, Hawaii, USA, August 6, 2020 Datum: Thu, 23 Jan 2020 20:20:45 +0800 Von: wu huaming whming@TJU.EDU.CN Antwort an: wu huaming whming@TJU.EDU.CN An: tccc-announce@comsoc.org

=======================================================================================  The Workshop on Intelligent Offloading for Internet of Things (IOIoT) http://intelligentoffloading.com/ioiot/

in conjunction with The 29th International Conference on Computer Communications and Networks (ICCCN 2020) http://icccn.org/icccn20/

Honolulu, Hawaii, USA, August 6, 2020

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IOIoT 2020 CFP Due to the ever-increasing growth of Internet of Things (IoT) devices with resource-hungry applications and the unprecedented demands of computing capabilities, edge servers with limited resources cannot efficiently satisfy the requirements of the IoT applications and Deep Neural Networks (DNNs) computing. Task offloading technology can break through the resource limitations of IoT devices, reduce the computing load and improve the task processing efficiency. Optimizing DNNs through task offloading has become a new direction in edge intelligence research. Deep learning driven approaches can facilitate offloading decision making, dynamic resource allocation and content caching, benefit in coping with the growth in volumes of communication and computation for emerging IoT applications. However, how to customize deep learning techniques for task offloading in IoTs is still under discussion. Learning algorithms in edge computing are still immature and inefficient.

The goal of the IOIoT Workshop is devoted to the most recent developments of intelligent offloading technologies for IoT and and edge computing. Industry experience reports and empirical studies are also welcome. We aim to bring together researchers and practitioners to discuss the latest advancements and identify further challenges for task offloading in IoTs that must be overcome. The topics of the workshop include but not limited to: Computing Paradigm Frontiers: Edge Computing, Fog Computing, Cloud Computing that assisted with AI Theories, Scenarios and Applications: Learning-based approaches for Learning-based approaches: Intelligent decision making for task offloading, resource allocation, profiling, modelling, content caching, cyber-security, and privacy in IoTs Design, Development and Architecture: New AI-based theories, scenarios and applications for application placement, computation offloading or data offloading in IoTs Performance Modelling and Evaluation: Deep learning driven latency and energy consumption model of task offloading; Joint communication and computation optimization for emerging IoT applications Optimization Algorithms: Joint communication and computation optimization for emerging IoT applications Sustainable and Green Computing: Intelligent resource management and scheduling; DNN-based applications partitioning in IoTs Submission Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and as PDF files (formatted for 8.5x11-inch paper). The manuscripts should be no longer than 6 pages. Two additional pages are permitted if the authors are willing to pay an over-length charge at the time of publication (manuscripts should not exceed 8 pages). Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address(es).

Authors declare that the submission is original and has not been submitted to other venue or under consideration by other venues. The workshop Program Committee reserves the right to not review papers that either exceeds the length specification or have been submitted or published elsewhere.

Electronic submission site: https://easychair.org/conferences/?conf=icccn2020%C2%A0 https://easychair.org/conferences/?conf=icccn2020.

Important Dates: Submission Date: 15th March, 2020 Notification to Authors: 27th April, 2020 Camera Ready Submission: 11th May, 2020

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