– WP1 develops the basic application scenarios on which all further development depends. The WP will be driven by the end users in the project. Uses cases will be selected and defined, testing & evaluation criteria will be set up.
– WP2 defines the system architecture on which the scenario show cases will be based and that materializes the use cases. It bridges the gap between the theoretical results in WPs 3-5 and their practical embodiment in the scenarios in WP1. It defines an architecture, a set of communication protocols, and methods for data management. This work-package addresses all aspects of volume, velocity, variety and veracity, but has as its special focus the velocity aspect of in-stream-analysis.
– WP3 develops the basic theory of communication efficient, low latency methods as applied to Complex Event Processing. It will provide the project with algorithms for monitoring of distributed complex events. This WP thus addresses mainly the volume-related aspects of Big Data.
– WP4 develops Complex Event processing methodology and models suitable for processing in the Big Data architecture. These will be developed in a consumable way for business users and will support rich types of applications accounting for various types of uncertainty. This work-package thus addresses the variety-related aspects of Big Data.
– WP5 will develop method for robust streaming. It addresses the problems of noise, missing and uncertain data and investigates the impact on a robust, and flexible architecture. This work package addresses the veracity-related aspects of Big Data.
– WP6 will be in charge of the dissemination activities and develops the exploitation plan and future market strategy. It will make sure that all research efforts will finally be transformed into (also sometimes listed as one of Big Data’s Vs) business value.
– WP7 will coordinate the project.