ProgXe: progressive result generation framework for multi-criteria decision support queries

Authors:
Venkatesh Raghavan;Elke A. Rundensteiner
Affiliations:
Worcester Polytechnic Institute, Worcester, MA, USA;Worcester Polytechnic Institute, Worcester, MA, USA
Venue:
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Year:
2010

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Abstract

We demonstrate ProgXe, a practical approach to support Multi-Criteria Decision Support (MCDS) applications that need to report results as they are being generated to enable the user to make competitive decisions. ProgXe transforms the execution of MCDS queries involving skyline over joins to be non-blocking by progressively generating results early and often. The demonstration highlights key features of our progressive execution framework that optimizes for early output generation by: (1) evaluating the query at multiple levels of abstraction, (2) exploiting the skyline knowledge gained from both input as well as mapped output spaces. The audience will be able to submit MCDS queries. We provide visualization tools that enable the user to make quick decisions, compare alternative techniques, and provide capability to fine-tune the query predicates based on the early output results.