The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
Many parallel join algorithms have been proposed so far but most of which are developed focused on minimizing the disk It0 and CPU costs. The communication cost, however, is also ...
Hwan-Ik Choi, Byoung Mo Im, Myoung-Ho Kim, Yoon-Jo...
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
This papers deals with multiway spatial joins when (i) there is limited time for query processing and the goal is to retrieve the best possible solutions within this limit (ii) the...
We examine the problem of processing temporal joins in the presence of indexing schemes. Previous work on temporal joins has concentrated on non-indexed relations which were fully...
Donghui Zhang, Vassilis J. Tsotras, Bernhard Seege...