Towards complex and intelligent workflow programming for Distributed Computing

Fog computing brings cloud computing capabilities closer to the end-device and users, while enabling location-dependent resource allocation, low latency services, and extending significantly the IoT services portfolio as well as market and business opportunities in the cloud sector. With the number of devices exponentially growing globally, new cloud and fog models are...

Computer systems have faced significant power challenges over the past 20 years; these challenges have shifted from the devices and circuitslevel, to their current position as first-order constraints for system architects and software developers. TANGO s goal is to characterise factorswhich affect power consumption in software development and operation for heterogeneous...

Dataflow parallelism is key to reach power efficiency, reliability, efficient parallel programmability, scalability, data bandwidth. In this project we proposed dataflow both at task level and inside the threads, to offload and manage accelerated codes, to localize the computation, for managing the fault information with appropriate protocols, to easily migrate code to the...

With the challenges of service and infrastructure providers as the point of departure, OPTIMIS focused on open, scalable and dependable service platforms and architectures that allowed flexible and dynamic provision of advanced services. The OPTIMIS innovations can be summarized as a combination of technologies to create a dependable ecosystem of providers and consumers that...