Computer systems have faced significant power challenges over the past 20 years; these challenges have shifted from the devices and circuits level, to their current position as first-order constraints for system architects and software developers. TANGO’s goal is to characterise factors which affect power consumption in software development and operation for heterogeneous parallel hardware environments. Our main contribution is the combination of requirements engineering and design modelling for self-adaptive software systems, with power consumption awareness in relation to these environments. The energy efficiency and application quality factors are integrated in the application lifecycle (design, implementation, operation). To support this, the key novelty of the project is a reference architecture and its implementation. Moreover, a programming model with built-in support for various hardware architectures including heterogeneous clusters, heterogeneous chips and programmable logic devices will be provided. TANGO will create a new cross-layer programming approach for heterogeneous parallel hardware architectures featuring automatic code generation including software and hardware modelling. This will consider power, performance, data location and time criticality optimization, in addition to security and dependability on the target hardware architecture. These results will be demonstrated in two real-world applications: reconfigurable power optimized connected platform and HPC. In order to improve collaboration and sustainability of TANGO’s and fellow projects results, TANGO considers the foundation of a Research Alliance in which complementary research efforts into novel programming approaches will nucleate, leading to a strong research collaboration and effective integration of project results.

Cloud federation enables cloud providers to collaborate and share their resources to create a large virtual pool of resources at multiple network locations. Different types of federation architectures for clouds and datacenters have been proposed and implemented (e.g. cloud bursting, cloud brokering or cloud aggregation) with different level of resource coupling and interoperation among the cloud resources, from loosely coupled, typically involving different administrative and legal domains, to tightly coupled federation, usually spanning multiple datacenters within an organization. In both situations, an effective, agile and secure federation of cloud networking resources is key to impact the deployment of federated applications. The main goal of this project is two-fold: research and develop techniques to federate cloud network resources, and to derive the integrated management cloud layer that enables an efficient and secure deployment of federated cloud applications. Our proposal will deliver a homogeneous virtualization layer, on top of heterogeneous underlying physical networks, computing and storage infrastructures, providing enablement for automated federation of applications across different clouds and datacenters. The project is fully committed to open source software. Cloud networking aspects will be based on OpenDaylight, a collaborative project under The Linux Foundation, and specifically we will leverage and extend the OpenDOVE project with new rich inter-cloud APIs to provision cross-site virtual networks overlays. The new inter-cloud network capabilities will be leveraged by existing open source cloud platforms, OpenNebula and OpenStack, to deploy multi-cloud applications. In particular, different aspects of the platforms will be extended to accommodate the federated cloud networking features like multi-tenancy, federated orchestration of networking, compute and storage management or the placement and elasticity of the multi-cloud applications.