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The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and response time requirements has outpaced advancements in processor and mass storage technology, leading to the need for parallel temporal database management systems. In this paper, we introduce a variety of parallel temporal aggregation algorithms for a sharednothing architecture based on the sequential Aggregation Tree algorithm. Via an empirical study, we founddoi:10.1109/icde.1999.754958 dblp:conf/icde/GendranoHRMS99 fatcat:rrpdss7sxjfqncjt2ibvelhqaa