144 citations · 191 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Energy-Efficient Flow Scheduling and Routing with Hard Deadlines in Data Center Networks
Lin Wang, Fa Zhang, Kai Zheng +3
The power consumption of enormous network devices in data centers has emerged as a big concern to data center operators. Despite many traffic-engineering-based solutions, very litt…
A Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers
Xibo Jin, Fa Zhang, Lin Wang +3
Virtual machine (VM) scheduling is an important technique to efficiently operate the computing resources in a data center. Previous work has mainly focused on consolidating VMs to…
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…