MapReduce optimization using regulated dynamic prioritization


We present a system for allocating resources in shared data and compute clusters that improves MapReduce job scheduling in three ways. First, the system uses regulated and user-assigned priorities to offer different service levels to jobs and users over time. Second, the system dynamically adjusts resource allocations to fit the requirements of different… (More)
DOI: 10.1145/1555349.1555384


9 Figures and Tables


Citations per Year

169 Citations

Semantic Scholar estimates that this publication has 169 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics