TY - CONF T1 - Executing Multiple Pipelined Data Analysis Operations in the Grid T2 - SC Conference Y1 - 2002 A1 - Spencer,Matthew A1 - Ferreira,Renato A1 - Beynon,Michael A1 - Kurc,Tahsin A1 - Catalyurek,Umit A1 - Sussman, Alan A1 - Saltz,Joel AB - Processing of data in many data analysis applications can be represented as an acyclic, coarse grain data flow, from data sources to the client. This paper is concerned with scheduling of multiple data analysis operations, each of which is represented as a pipelined chain of processing on data. We define the scheduling problem for effectively placing components onto Grid resources, and propose two scheduling algorithms. Experimental results are presented using a visualization application. JA - SC Conference PB - IEEE Computer Society CY - Los Alamitos, CA, USA M3 - http://doi.ieeecomputersociety.org/10.1109/SC.2002.10015 ER -