The vision of the CELAR project is to provide automatic, multi-grained resource allocation for cloud applications. This enables the commitment of just the right amount of resources based on application demand, performance and requirements, results in optimal use of infrastructure resources and significant reductions in administrative costs. For more information, visit the website of the project
The iSocial consortium, which consists of 7 full partners and 6 associate partners, envisions the emergence of distributed and scalable overlay networking and distributed storage infrastructures that will provide support for open social networks and for innovative social network applications, preserving end-user privacy and information ownership. The main objective of iSocial is to provide world class training for a next generation of researchers, computer scientists, and Web engineers, emphasizing on a strong combination of advanced understanding in both theoretical and experimental approaches, methodologies and tools that are required to develop Decentralized Online Social Networking platforms. iSocial training network will fund 11 Ph.D. students and 5 post-doctoral fellows. To meet this goal, iSocial is divided into four interconnected research topics, which include important and timely research challenges with a high exploitation potential: i)Overlay Infrastructure for Decentralized Online Social Networking Services; ii)Data storage & distribution; iii)Security, privacy & trust; iv) Modelling and Simulation. For more information, visit the website of the project.
The vision of the PaaSport project is to resolve the application portability issues that exist in the Cloud PaaS market through a flexible and efficient deployment and migration approach. To this end, PaaSport will combine Cloud PaaS technologies with lightweight semantics in order to specify and deliver a thin, non-intrusive Cloud-broker (in the form of a Cloud PaaS Marketplace), to implement the enabling tools and technologies, and to deploy fully operational prototypes and large-scale demonstrators. For more information, visit the website of the project
MOVE is an COST Action (European Cooperation in Science and Technology) that aims to build a network for collaboration that leads to the improvement of ICT methods for knowledge extraction from massive amounts of data about moving objects. This knowledge is essential to substantiate decision making in public and private sectors. Moving object data typically include trajectories of concrete objects (e.g. humans, vehicles, animals, and goods), as well as trajectories of abstract concepts (e.g. spreading diseases). While movement records are nowadays generated in huge volumes, methods for extracting useful information are still immature, due to fragmentation of research and lack of comprehensiveness from monodisciplinary approaches. Overcoming these limitations calls for COST-like networking.
eMammoth - Compute and Store on Grids and Clouds infrastructures
A number of large-scale grid and cloud infrastructures are currently in operation around the world, federating an impressive collection of computational resources and a wide variety of application software. One of the main goals of these infrastructures is to make their software resources and services easily accessible and attractive for end-users. To achieve this goal these distributed infrastructures need to facilitate the need for high computational power and storage capacity. The implementation of the proposed project will provide a number of key benefits: a) extension of an existing hpc infrastructure with a high-performance storage facility, capable of supporting data-intensive computing; b) exploitation of the planned data-intensive computing facility in a variety of cutting-edge research activities with significant scientific potential: search computing and information retrieval, analysis of large-scale ad-hoc network topologies, and storage and processing of biosignals; c) operation of and experimentation with a cloud storage service, open to the cyprus research community. For more information visit our local website
V-Sense (Vehicular Sensor Network Infrastructure) is a two year research project that aims to improve the performance of Vehicular Sensor Networks (VSN). Specifically the project will: 1)study the dynamics and topology of large-scale VSNs from the viewpoint of complex networks, 2) design and propose a distributed middleware architecture that will support the establishment of VSNs, 3) investigate robust location-aware services that will improve the coordination of sensing tasks, large-scale sensor data aggregation and dissemination, query resolution and interconnection with the Internet. V-Sense is supported by a strong collaboration network from partnerns such as: University of Cyprus, University of Nicosia Research Foundation, Rutgers University and University of Thessaly, who bring world-class expertise in research areas related to VSNs. For more information visit the V-Sense website