Center for Large-scale Data Systems Research (CLDS)

CLDS was established in 2012 as an industry-university partnership to study and address technical as well as technology management-related challenges facing information-intensive organizations in the era of big data. CLDS specializes in developing applicable concepts, frameworks, analytical approaches, case analyses and systems solutions to big data management, with a related goal of developing a set of benchmarks for providing objective measures of the effectiveness of hardware and software systems dealing with data-intensive applications. Based at SDSC to leverage the Center’s resources and large-scale compute and storage resources, current CLDS initiatives include the Big Data Benchmarking Community effort and the How Much Information? research program.

As an industry-university collaboration, CLDS encourages participation by industry and welcomes industry sponsorship of projects. Center research is available via a variety of venues, including working papers, research briefings, multi-company forum workshops and sponsor conferences.


CLDS is led by Dr. Chaitan Baru and Dr. James Short

Recent Research Reports

Setting the Direction for Big Data Benchmark Standards, C. Baru, M. Bhandarkar, R. Nambiar, M. Poess, T. Rabl, Selected Topics in Performance Evaluation and Benchmarking, 4th TPC Technology Conference, TPCTC 2012, Istanbul, Turkey, August 27, 2012.

Finding Value in the Information Explosion, C. Beath, I. Becerra-Fernandez, J. Ross and J. Short, Sloan Management Review, Summer 2012.

Sponsors

SeagatePivotal, NetApp, Brocade, Mellanox, Cisco, National Science Foundation