Data-Parallel Computing Meets STRIPS

  title={Data-Parallel Computing Meets STRIPS},
  author={Erez Karpas and Tomer Sagi and Carmel Domshlak and Avigdor Gal and Avi Mendelson and Moshe Tennenholtz},
The increased demand for distributed computations on big data has led to solutions such as SCOPE, DryadLINQ, Pig, and Hive, which allow the user to specify queries in an SQL-like language, enriched with sets of user-defined operators. The lack of exact semantics for user-defined operators interferes with the query optimization process, thus putting the burden of suggesting, at least partial, query plans on the user. In an attempt to ease this burden, we propose a formal model that allows for… CONTINUE READING


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