144 citations · 191 across the 10 of their papers we have counts for
10 papers
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image
Enze Zhang, Fa Zhang, Zhiyong Liu +2
Electron tomography (ET) allows high-resolution reconstructions of macromolecular complexes at nearnative state. Cellular structures segmentation in the reconstruction data from el…
PABO: Mitigating Congestion via Packet Bounce in Data Center Networks
Xiang Shi, Lin Wang, Fa Zhang +3
In today's data center, a diverse mix of throughput-sensitive long flows and delay-sensitive short flows are commonly presented in shallow-buffered switches. Long flows could poten…
Green Data Centers: A Survey, Perspectives, and Future Directions
Xibo Jin, Fa Zhang, Athanasios V. Vasilakos +1
At present, a major concern regarding data centers is their extremely high energy consumption and carbon dioxide emissions. However, because of the over-provisioning of resources,…
Multi-resource Energy-efficient Routing in Cloud Data Centers with Networks-as-a-Service
Lin Wang, Antonio Fernández Anta, Fa Zhang +2
With the rapid development of software defined networking and network function virtualization, researchers have proposed a new cloud networking model called Network-as-a-Service (N…
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…
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…
GreenDCN: a General Framework for Achieving Energy Efficiency in Data Center Networks
Lin Wang, Fa Zhang, Jordi Arjona Aroca +5
The popularization of cloud computing has raised concerns over the energy consumption that takes place in data centers. In addition to the energy consumed by servers, the energy co…
Routing for Energy Minimization with Discrete Cost Functions
Lin Wang, Antonio Fernández Anta, Fa Zhang +2
Energy saving is becoming an important issue in the design and use of computer networks. In this work we propose a problem that considers the use of rate adaptation as the energy s…
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…