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DFSD 2019 : The Second International Workshop on Distributed Fog Services Design | |||||||||||||||
Link: http://www.dilute.no/dfsd | |||||||||||||||
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Call For Papers | |||||||||||||||
Smart spaces, such as smart cities and smart buildings, are proliferating into a massive scale, thereby, Internet of Things (IoT) data, services and applications are being pressed to move to the Cloud. IoT Cloud integration can enable ubiquitous cyber-physical services and powerful processing of IoT data beyond the capability of individual things. This has been recently extended from the core of the network to the edge of the network (i.e., Fog Computing) to address better mobility support, locationawareness and low latency. Therefore, IoT applications will be further distributed throughout the network, including routers and dedicated computing nodes. With this new trend in sight, developing applications using cloud and fog computing resources introduces many challenges with respect to programing, networking, and service abstraction and distribution. In particular, in large-scale IoT applications with massive number of services, the way to model, develop and distributed services at device-, fog-, and cloud-levels is a top priority design challenge in this area.
This workshop aims to bring together experts from academia and industry that are working in distributed computing aspects of fog platforms, including middleware-related design concerns. The goal is to present and explore novel approaches and recent results of the research community and the industry bodies, and debate on and discuss priorities and challenges in the research agenda. Scope The topics of interest include, but are not limited to: Fog computing distributed architectures and frameworks Programming models and abstractions for Fog Dynamic programming models for Fog Fog-level task and service modeling and distribution Large-scale deployments and Fog Distributed resource management models for Fog Cloud and Fog integration Middleware for Fog infrastructures Fog mobility Performance (low latency and scalability) Heterogeneity and Interoperability of Fog devices Machine learning for Fog mobility and resource allocation Submission Instructions and Formatting Requirements The papers will be published as part of the conference proceedings and will appear in the ACM Digital Library. Full papers can have a maximum length of 6 pages (two column format). The page limits include figures, tables, and references. All submitted papers will be judged through singleblind reviewing. Submissions will be handled through HotCRP. Important Dates Paper submissions: August 23, 2019 Notification: September 30, 2019 Camera ready: October 16, 2019 Organizers Amir Taherkordi, University of Oslo, Norway Schahram Dustdar, TU Wien, Austria |
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