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Michael Carey

University/Research Lab: University of California, Irvine
Location: (Irvine, CA)
Personal Research Web Page: http://www.ics.uci.edu/~mjcarey/

Keywords: Semi-structured data management, parallel database systems, data-intensive parallel computing, cloud computing, information integration, service-oriented computing

Posted on: Wednesday, May 11th, 2011
Broad Research Area: Databases / Information Retrieval / Data Mining, Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing

Research Interests:

I am interested in a variety of topics related to database management system technology, mostly focused on database system architecture, algorithms, and performance evaluation. We are currently in year two of a large parallel semi-structured data management and analysis project at UC Irvine, ASTERIX, and I am interested in mentoring CI Fellows whose interests closely overlap our work. Roughly speaking, ASTERIX can be thought of as semi-structured data management meets parallel database systems meets Map/Reduce (and friends). We have completed a first version of the data-intensive run-time system for ASTERIX, called Hyracks, and are now building the upper layers of ASTERIX (including a new semi-structured data model and query language) as well. The ultimate goal is the creation of a robust, open source software system that will be shared with the research community. An appropriate CI Fellow would be systems-oriented, excited about building something “real” that others can use, and have experience with Hadoop and/or parallel DBMS technology and/or scalable distributed storage management (including data consistency issues, e.g., transaction and consistency models for large-scale, cluster-based data management). Because we are building a system, we are interested in CS Fellow candidates who are interested in implementation as well as design and evaluation.

Contact Information:

E-mail: email obfuscated - click to reveal.edu

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