Tiresias: Low-Overhead Sample Based Scheduling with Task Hopping.

Autor: Hao, Chunliang, Shen, Jie, Zhang, Heng, Wu, Yanjun, Li, Mingshu

Publikováno v: 2016 IEEE International Conference on Cluster Computing (CLUSTER); 2016, p251-254, 4p

Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling

Autor: Cheng, Long, Murphy, John, Liu, Qingzhi, Hao, Chunliang, Theodoropoulos, Georgios, Torquati, Massimo, Aldinucci, Marco, Padovani, Luca

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Euro-Par 2018: Parallel Processing
Euro-Par 2018: Parallel Processing-24th International Conference on Parallel and Distributed Computing, Proceedings, 293-305
STARTPAGE=293;ENDPAGE=305;TITLE=Euro-Par 2018
Euro-Par 2018: Parallel Processing ISBN: 9783319969824
Euro-Par
Euro-Par 2018: Parallel Processing

Large computing systems such as data centers are becoming the mainstream infrastructures for big data processing. As one of the key data operators in such scenarios, distributed joins is still challenging current techniques since it always incurs a s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4980e0ebc56f592b4211b6b4dfe73e9