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SEC 2019 : The Fourth ACM/IEEE Symposium on Edge Computing

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Link: http://acm-ieee-sec.org/2019/
 
When Nov 7, 2019 - Nov 9, 2019
Where Washington DC, USA
Submission Deadline May 17, 2019
Notification Due Jul 26, 2019
Final Version Due Sep 20, 2019
Categories    edge computing   fog computing   FOG   edge
 

Call For Papers

Edge Computing is a new computing paradigm where server resources, ranging from a credit-card size computer to a small data center, are placed closer to data and information generation sources. Application and systems developers use these resources to enable a new class of latency and bandwidth sensitive applications that are not realizable with current cloud computing architectures. Edge computing represents a counterpoint to the consolidation of computing into massive data centers, which has dominated the discourse in cloud computing for well over a decade. Popular terms such as micro-data centers, intelligent edges, cloudlets, and fog have been used interchangeably to describe edge computing.


The Fourth ACM/IEEE Symposium on Edge Computing (SEC) seeks to present exciting, innovative research related to the design, implementation, analysis, evaluation, and deployment of computer systems and applications at the network edge. SEC is a forum for top researchers, engineers, students, entrepreneurs, and government officials come together under one roof to discuss the opportunities and challenges that arise from rethinking cloud computing architectures and embracing edge computing. SEC takes a broad view of edge computing and solicits contributions from many fields of systems practice that embrace any aspect of edge computing. Topics include, but are not limited to:


edge computing infrastructure and edge-enabled applications
cellular infrastructure for edge computing
edge computing as an enabler of 5G applications and services
networking, e.g., from clients to the edge, and from the edge to the cloud
IoT hubs
algorithms and techniques for machine learning and AI at the edge
geo-distributed analytics and indexing on edge nodes
hardware architectures for edge computing and devices
monitoring, management, and diagnosis in edge computing
resource management and reliability for edge computing
security and privacy issues
vehicular, enterprise, and manufacturing systems
programming models and toolkits

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