Fog computing is more and more emerging as a paradigm for developing and deploying solutions able to balance between the scalability offered by cloud based environments and the reduced latency guaranteed by the resources on the edge. For this reason, the Fog Computing paradigm suggests to move the computation closer to where the data are generated to reduce the data traffic and improve the performance of distributed systems. These systems are currently available in many domains: e.g., Smart Cities, Smart Transportation, Smart Industries. Data are usually collected by sensors, sent to the Cloud for the analysis and the result (other data) sent back to the edge to configure actuators. Although the current trend suggests to move the computation to where the data are generated, scalability and reliability offered by the Cloud cannot be replaced by any Edge environment. For this reason, data movement from the edge to the cloud must be preserved but also properly managed to not violate privacy and security issues.
On this basis it is urgent to define solutions able to drive decisions on how, when, and where data must be moved considering the impact of such decisions on the quality of the system especially in terms of latency, reliability, data security and privacy. The goal of the workshop is to bring together researchers and practitioners in the area of Fog Computing in order to present and discuss methods and techniques to make the data movement efficient in Fog Computing.
DaMove welcomes both research papers and industry paper submissions as well as demonstrators. The goal of the workshop is to enable the participants to discuss recent advances in Fog Computing with particular emphasis on data movement aspects.
The committee is formed by the DITAS consortium members. For more information, please visit the website https://ditas-project.github.io/web_damove/