Resource pooling

EUBra-BIGSEA - Europe-Brazil Collaboration of BIG Data Scientific Research through Cloud-Centric Applications

EUBra-BIGSEA is developing a QoS architecture that will predict resource consumption of Big Data Analytics applications in order to pre-allocate and dynamically adjust virtualized infrastructures. EUBra-BIGSEA will leverage mixed horizontal and vertical elasticity on hybrid container and VM infrastructures to support a rich Data Analytic framework powered by OPHIDIA, COMPSs and Spark, which will be enriched with these capabilities.

BigClouT - Big data meeting Cloud and IoT for empowering the citizen clout in smart cities

BigClouT project makes use of today’s three key technologic enablers, Internet of Things (IoT), cloud computing and big data, for the objective of increasing the efficiency in using urban infrastructure, economic and natural resources shared by the increasing population. BigClouT will offer an analytic mind to the city by creating distributed intelligence that can be implanted throughout the whole city network.

CHOReVOLUTION - The Choreography Platform for Future Internet Applications


The CHOReVOLUTION platform automates the implementation of a service choreography involving heterogeneous services and things. It provides the tools to implement a secure choreography from the design phase to the cloud deployment. Moreover, the platform also offers web tools to monitor and manage deployed choreography/services in a centralized way.

MELODIC: Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing

Melodic is a solution for autonomic and secure cross Cloud deployment, monitoring, and context adaptation of big data applications requiring frameworks like Apache Hadoop or Spark by constantly watching the execution, and ensuring an optimised mapping of the application's data sets and processing jobs according to your goals and requirements.

SecureCloud - Secure Big Data Processing in Untrusted Clouds

SecureCloud project

SecureCloud addresses the confidentiality, integrity and availability of applications executed in the cloud. The main problem that we face is how to ensure the confidentiality of data while being processed. Our approach is based on upcoming hardware extensions of commodity CPUs.

RAPID - Heterogeneous Secure Multi-level Remote Acceleration Service for Low-Power Integrated Systems and Devices

RAPID proposes, for the first time, a secure unified model where almost any device or infrastructure, ranging from smartphone, notebook, laptop and desktop to private and public cloud can operate as an accelerated entity and/or as an accelerator serving other less powerful devices in a secure way. At the same time, RAPID offers a registration mechanism, which permits the accelerated entities to automatically find and connect to nearby accelerators with the required resources.

SERECA - Secure Enclaves for REactive Cloud Applications

The SERECA project provides an infrastructure that protects the integrity and confidentiality of applications running in untrusted cloud environments, even against malicious insiders with super-privileges. This relies on a set of facilities/tools useful to transparently leverage the new ISA extension of Intel's CPU, namely Software Guard eXtension (SGX).

SSICLOPS - Scalable and Secure Infrastructures for Cloud Operations

The SSICLOPS project will focus on techniques for the management of federated private cloud infrastructures, in particular cloud networking techniques.

Key deliverables from the project will include a meta data description language for workloads, resources and policies, workload-specific adaptations to TCP/IP stacks, and data center performance analysis tools.