Because Shapiro and Maier are at different institutions, the project encourages collaboration between the institutions. The end result is that the two institutions form more of a critical mass in computer science. Inc. Seckin Unlu, Intel Bill McKenna, Red Brick Systems Pedro Cellis, Tandem Computers who have promised to remain available to us during the current project. These collaborators are valuable both in identifying critical problems in commercial optimization and for evaluating the techniques we develop. They also provide a conduit for our best results to influence the design of commercial products.
Several papers are available on the project web page.
S. Daniels, G. Graefe, T. Keller, D. Maier, D. Schmidt and B. Vance. Query Optimization in Revelation, an Overview. IEEE Data Engineering. Bulletin, June 1991. L. Fegaras and D. Maier.