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Scheduling Data-Intensive Bags of Tasks in P2P Grids leads to transfers of large input data files, which cause delays in completion times. We propose to combine several existing technologies and patterns to perform efficient data-aware scheduling: (1) use of the BitTorrent P2P file sharing protocol to transfer data, (2) data caching on computational Resources, (3) use of a data-aware Resource selection scheduling algorithm similar to Storage Affinity, (4) a new Task selection schedulingdoi:10.1145/1272980.1272990 dblp:conf/hpdc/BriquetDJM07 fatcat:ao7eqpipwjdrxhfoeuqem2m3h4