HP Labs, Palo Alto (HPL)Alkis Simitsis, Kevin Wilkinson
This R&D collaboration aimed at automating the logical design and optimization of data-intensive flows. Part of the project was focused on enabling engine independent design and composition of hybrid data flows that may span different execution and storage engines, thus enabling inter-engine management and optimization of hybrid data flows.
Besides collaborative research work on distance, this collaboration also included two research visits to HP Labs, and work on the development of different modules of Hybrid Flow Management System (HFMS) that has been developed at HP Labs.
This collaboration resulted in several joint conference and journal publications, as well as two patent applications:
- Converting a hybrid flow. Petar Jovanovic, Alkis Simitsis, William K. Wilkinson - US Patent 20,140,344,817, 2014
- Optimizing analytic flows. Alkis Simitsis, William K. Wilkinson, Petar Jovanovic - US Patent App. 13/859,564, 2013
2016 Petar Jovanovic, Oscar Romero, Alkis Simitsis, Alberto Abelló: Incremental Consolidation of Data-Intensive Multi-Flows. IEEE Trans. Knowl. Data Eng. 2016 2013 Alkis Simitsis, Kevin Wilkinson, Petar Jovanovic: xPAD: a platform for analytic data flows. SIGMOD Conference 2013 2011 Oscar Romero, Alkis Simitsis, Alberto Abelló: GEM: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs. DaWaK 2011