For the first time, DEBS features co-located workshops that will be held after the main conference, on June 24, 2016.
Workshop on Scientific Challenges in Data and Event-driven Smart city Service and Applications (SDESS)
Location: Room Newport
Abhishek Dubey (Vanderbilt University) and Aniruddha Gokhale (Vanderbilt University)
Smart cities are inherently multi-domain cyber physical systems (CPS) that crosscut conventional organizational and infrastructure boundaries. Extensibility and smartness are key properties of these emerging class of CPS. Extensibility is the capacity to accommodate change readily, i.e., adding new applications, for example, while preserving the original function. Smartness is the capability of a system to learn and adapt to a changing environment and unplanned circumstances. Moreover, resilience, scalability and interoperability are core requirements of effective smart city solutions. Replicability - the ability to deploy in many environments - provides for economies of scale. Scalability empowers communities large and small, including those experiencing rapid growth. Interoperability allows modular solutions, empowering communities with options to meet their needs and the ability to build systems over time through incremental budget investments.
The uncertainty and large-scale of Smart cities gives rise to numerous events that occur asynchronously and sporadically generating large volumes of data. Thus, intelligent event handling and Big Data analytics are key to the success of smart cities. This workshop focuses on new approaches to realizing next-generation data-driven CPS, such as smart cities, that are based on open, extensible platforms and that arise from new partnerships between cities, industry, and academia.
Workshop on Streaming Big Data and Publish/Subscribe Systems (Big-PubSub)
Location: Room Balboa
Dimitrios Gunopulos (University of Athens), Vagelis Hristidis (UC Riverside), and Sharad Mehrotra (UC Irvine)
Big-PubSub aims at bringing together the Data Management and the Publish/Subscribe communities. The data management community has traditionally studied continuous queries and Active Databases with the assumption that the number of such queries is relatively small, and recently had been focusing on the systems and algorithmic implications of addressing such problems when the streaming data become very large. On the other hand, the Pub/Sub community has studied how to reach the end users through a network of brokers. Recently, systems like Storm allow the efficient processing of high-throughput data streams. Despite the progress on both domains, there are several open research directions in the confluence of these domains. These research directions, which are the focus of this workshop, are motivated by the recent development and adoption of novel applications that connect users and provide services by analysing their data, in spaces such as social networks, smart cities, or healthcare.