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We present a Hierarchical MapReduce framework that gathers computation resources from different clusters and runs MapReduce jobs across them. The applications implemented in this framework adopt the Map-Reduce-GlobalReduce model where computations are expressed as three functions: Map, Reduce, and GlobalReduce. Two scheduling algorithms are introduced: Compute Capacity Aware Scheduling for compute-intensive jobs and Data Location Aware Scheduling for data-intensive jobs. Experimentaldoi:10.1109/ccgrid.2012.132 dblp:conf/ccgrid/LuoP12 fatcat:56nbhhlslbezrhgxlfzhgxv7nm