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Cost-efficient tasks and data co-scheduling with affordhadoop
M Ehsan, K Chandrasekaran, Y Chen… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
With today's massive jobs spanning thousands of tasks each, cost-optimality has become
more important than ever. Modern distributed data processing paradigms can be …
more important than ever. Modern distributed data processing paradigms can be …
LiPS: A cost-efficient data and task co-scheduler for MapReduce
M Ehsan, Y Chen, H Kang, R Sion… - … Conference on High …, 2013 - ieeexplore.ieee.org
We introduce LiPS, a new cost-efficient data and task co-scheduler for MapReduce in a
cloud environment. By using linear programming to simultaneously co-schedule data and …
cloud environment. By using linear programming to simultaneously co-schedule data and …