EUROPE - BRAZIL COLLABORATION OF BIG DATA SCIENTIFIC RESEARCH THROUGH CLOUD-CENTRIC APPLICATIONS

EUROPE - BRAZIL COLLABORATION OF BIG DATA SCIENTIFIC RESEARCH THROUGH CLOUD-CENTRIC APPLICATIONS

Deliverables

Deliverable 4.4 QoS extensions for the big and fast data eco-system

This deliverable describes the design and the implementation details regarding the big and fast data ecosystem extensions and adaptations for Quality of Service (QoS) guarantees. It focuses on the main technologies involved in the eco-system (i.e., Ophidia and Spark) and the extensions and implementations to support automated deployment, job monitoring, elasticity, as well as the integration activities of these technologies with the QoS infrastructure developed at the level of WP3.

Deliverable 4.2 Report about the final implementation of the integrated big and fast data eco-system

The integrated big and fast data eco-system represents a central component of the EUBra-BIGSEA platform and it is devoted to the management and processing of big data. It integrates a wide set of technologies, libraries and services in a cloud environment aiming to provide a general architecture to address the data challenges related to the massive connected societies use cases, by tackling big data issues, such as volume, variety and velocity.

Deliverable 6.4 Methodologies for trustworthiness estimation

The problem of measuring security is that it is, usually, much more dependent on aspects that are unknown about the system (e.g., unknown vulnerabilities) and about the potential attackers, than on what is known about it. To make the process feasible, the alternative is to focus on estimating trustworthiness based on evidences regarding specific security characteristics or behaviours, considering that the security concerns of a large and complex system should not be addressed individually or in an ad hoc manner, as this may result in insufficient solutions.

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