“Management and coordination” is dedicated in monitoring the project’s progress and provide coordinating actions to guarantee proper utilization of the available resources.

“Application requirements, SLAs and data-driven architecture” will gather the essential use case requirements, SLAs and characterize per application the performance/energy critical aspects. Furthermore, all partners will work close together with the industrial partners to define E2Data’s architecture. This WP also contains the work performed by the four industrial partners.

“Heterogeneous Big Data framework” researches and develops all the necessary changes to the Big Data framework and the Cloud provider. Furthermore, an API definition document will be revised in order to enable the easy integration of E2Data’s components to other platforms/frameworks

“Hardware-aware, intelligent elastic scheduler” entails the development of the Machine Learning components (i.e. E2Data Intelligence) and E2Data’s hardware-aware, elastic scheduler

“Dynamic execution environment on heterogeneous hardware” will research and develop the lightweight profiling module of E2Data for reporting to the upper layer of the E2Data stack. Furthermore it will implement the compilation components for heterogeneous execution of the application uses cases from WP2

“Integration and evaluation” will produce the integrated system, joining all developed mechanisms and extended libraries into a common software stack and installing this stack in the respective testbeds.

“Dissemination, communication and exploitation” will carefully plan the dissemination, communication, exploitation and standardization activities.