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EdgeComm 2020 : The 1st Workshop on Edge Computing and Communications | |||||||||||||
Link: http://acm-ieee-sec.org/2020/edgecom.php | |||||||||||||
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Call For Papers | |||||||||||||
Edge computing emerges as a critical technology component of modern Information and Communication Technology (ICT) industry provisioning storage and computation resources in the proximity of end devices to provide low latency services. By incorporating storage and computation resources in networks, joint allocation and management of communication, computing and storage resources will improve the quality of service and user experience, especially for various delay-sensitive applications. The advancement of edge computing poses many challenges such as deployment and management of distributed resources. Furthermore, end devices may be moving all the time and their requests may also change over time creating spatial and temporal dynamics of workload in the network. The system itself also exhibits high dynamics in terms of channel conditions, computation capacity and data storage, making management of edge computing challenging. The objective of this workshop is to explore recent advances in edge computing systems as well as their associated communication strategies to address the fundamental and practical challenges through dissemination of the state-of-the-art research and discussions between researchers and practitioners in both computing and communication societies. The workshop will be co-located with the fifth ACM/IEEE Symposium on Edge Computing (SEC), November 11-13, 2020, in San Jose CA, USA.
We invite submissions of the novel research on communication and computing design aspects of edge computing, including but not limited to: Edge computing infrastructure and edge-enabled applications Computing architecture for edge computing and devices Workload offloading for edge computing systems Resource management and reliability for edge computing Energy-efficiency of edge computing Algorithms and techniques for federated/machine learning and artificial intelligence at the edge Novel computing and communications models Deployment and application placement in edge computing Secure and safe computing and communications Data privacy preserving computing and communications Cooperative aerial edge computing and communication systems Resource allocation for vehicular edge computing Blockchain-enabled edge computing systems Orchestra of edge computing, caching, learning and communications Authors should follow the IEEE guidelines when preparing their contributions (maximum paper length: 5 pages with 10-pt font: https://www.ieee.org/conferences/publishing/templates.html). |
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