SoftBDA 2017 - 2017 International Workshop on Software-driven Big Data Analytics

The proliferation of IoT devices has led to the production of large volumes of data that can be used to characterize and potentially optimize real world processes. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the mechanisms for managing operations, and protecting and controlling access to data. A promising direction for the management of complex distributed environments is to make the major elements of the system self-describing and self-managing. This would lead to an architecture where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need to create new models for information assurance. For example, policies can capture information on how data must be processed in different components of the system, providing a new model for traceability of information, and allowing better provenance on information flows. Policies can also control data collection, transfer and use across different components of the systems. It is also critical that data governance mechanisms be scalable and reliable.
In this workshop, we aim to focus primarily on policy based mechanisms for data governance in distributed systems. PADG 2017 will consider original and unpublished research articles that propose bold steps towards addressing the challenges of data management and security in multi-site, interconnected processing environments.
Topics of interest to the workshop include but are not limited to:
Policy Mechanisms for Collaborative Systems
Management of Data and Information Quality
Architectures for Autonomic Computing and Cyber-infrastructures
Management of Data Security, Privacy and Trust
Modelling and Analysis of Policy Interactions
Impact Analysis Strategies and Algorithms