8 citations · 12 across the 4 of their papers we have counts for
4 papers
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)
Zuozhi Wang, Kai Zeng, Botong Huang +10
Incremental processing is widely-adopted in many applications, ranging from incremental view maintenance, stream computing, to recently emerging progressive data warehouse and inte…
OS4M: Achieving Global Load Balance of MapReduce Workload by Scheduling at the Operation Level
Liya Fan, Bo Gao, Fa Zhang +1
The efficiency of MapReduce is closely related to its load balance. Existing works on MapReduce load balance focus on coarse-grained scheduling. This study concerns fine-grained sc…
Improving the Load Balance of MapReduce Operations based on the Key Distribution of Pairs
Liya Fan, Bo Gao, Xi Sun +2
Load balance is important for MapReduce to reduce job duration, increase parallel efficiency, etc. Previous work focuses on coarse-grained scheduling. This study concerns fine-grai…
Energy-Efficient Scheduling with Time and Processors Eligibility Restrictions
Xibo Jin, Fa Zhang, Ying Song +2
While previous work on energy-efficient algorithms focused on assumption that tasks can be assigned to any processor, we initially study the problem of task scheduling on restricte…