Consortium

With the right set of partners great things will emerge.

algolysis-logo-wide

Role: EU Partner Organization

Key people: Dr. Nicolas Nicolaou (PI), Dr. Efstathios Stavrakis, Dr Theophanis Hadjistasi, Ms Andria Trigeorgi

Algolysis Ltd (https://www.algolysis.com) is a research, technology and innovation company focusing on tackling real-life problems by devising state-of-the-art algorithmic solutions. Founded in 2014, Algolysis is a recent entrant in Cyprus’ innovation ecosystem and is currently undertaking projects related to game engine technologies, real-time distributed systems, data analysis and visualization, mobile & sensor networks. The company has a diverse research portfolio in computing, and its vision is to become a key technology provider in Cyprus and the south-east European region. Algolysis’ researchers have been conducting scientific research for over 15 years, in designing, developing, and analyzing consistent distributed storage systems. They secured National and European funds for research projects in this domain, including a prestigious Marie-Curie Fellowship between 2014-2016 for the coordinator of the project Dr. Nicolaou. Additionally, the team in Algolysis co-authored numerous manuscripts in the areas of consistent distributed memory systems, fault-tolerance, distributed ledgers, etc. that appeared in prestigious conferences and journals in distributed computing.

PSU-logo

Role: USA Partner Organization

Key people: Associate Professor, Dr. Viveck Cadambe, Professor, Dr. Bhuvan Urgaonkar

The team from PSU involves two PIs, Dr. Viveck Cadambe and Dr. Bhuvan Urgaonkar who are from the school of EECS. Dr. Cadambe is an expert on distributed algorithms and erasure coding, and has previously participated in development of linearizable shared memory emulation algorithms via erasure coding, as well as provably consistent non-blocking reconfigurable algorithms. Dr. Urgaonkar brings expertise in systems software, distributed computing, and performance modeling. He has made contributions to resource management in clouds, power/cost management of DCs and storage systems. Collectively, the authors have published in numerous prestigious venues in principles of distributed computing, and systems and performance measurements. The PIs have been collaborating in areas related to the proposal, including the co-supervision of multiple masters theses.

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