Dan Feng mostly deals with Data deduplication, Backup, Scalability, Computer data storage and Parallel computing. His Data deduplication research is multidisciplinary, relying on both Redundancy, Cloud computing and Upload. His work carried out in the field of Backup brings together such families of science as Distributed computing, RAID, Bandwidth, Server and Search engine indexing.
His work in Scalability covers topics such as Computer network which are related to areas like Graph, Computation, Vertex and Graph. His Computer data storage study necessitates a more in-depth grasp of Operating system. In his research on the topic of Parallel computing, Factor, Reduction and Chunking is strongly related with Hash function.
His primary areas of investigation include Distributed computing, Operating system, Computer data storage, Parallel computing and Computer network. He combines subjects such as Scheduling, Workload, Scalability and Server with his study of Distributed computing. His Computer data storage research is multidisciplinary, incorporating perspectives in Object, RAID and Embedded system.
His research integrates issues of Data deduplication and Latency in his study of Parallel computing. His Data deduplication study incorporates themes from Redundancy and Hash function. The various areas that Dan Feng examines in his Computer network study include Computer security and Cloud computing.
His scientific interests lie mostly in Distributed computing, Parallel computing, Cache, Operating system and Overhead. He interconnects Scalability, Graph partition, Redundancy, Scheduling and Bandwidth in the investigation of issues within Distributed computing. His research in Parallel computing intersects with topics in Data deduplication, Hash function, Key and Bottleneck.
Dan Feng has researched Data deduplication in several fields, including Fragmentation, Storage efficiency and Backup. His Operating system study combines topics from a wide range of disciplines, such as Queue and Partition. His Overhead research includes themes of Replication, Metadata, Non-volatile memory, Embedded system and Scheme.
Dan Feng focuses on Resistive random-access memory, Crossbar switch, Distributed computing, Power network design and Energy consumption. His Distributed computing research integrates issues from Feature, Graph partition, Image sharing, Bandwidth and Server. Dan Feng works mostly in the field of Graph partition, limiting it down to concerns involving Aggregate and, occasionally, Scalability.
Dan Feng has included themes like Random access memory and Computer hardware in his Energy consumption study. Dan Feng works mostly in the field of Standby power, limiting it down to topics relating to Embedded system and, in certain cases, File system. His Graph study combines topics in areas such as Algorithm, Computer network and Global Positioning System.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
AOD-Net: All-in-One Dehazing Network
Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu.
international conference on computer vision (2017)
Benchmarking Single-Image Dehazing and Beyond
Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao.
IEEE Transactions on Image Processing (2019)
Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity
Yang Hu;Hong Jiang;Dan Feng;Lei Tian.
international conference on supercomputing (2011)
CDRM: A Cost-Effective Dynamic Replication Management Scheme for Cloud Storage Cluster
Qingsong Wei;Bharadwaj Veeravalli;Bozhao Gong;Lingfang Zeng.
international conference on cluster computing (2010)
SiLo: a similarity-locality based near-exact deduplication scheme with low RAM overhead and high throughput
Wen Xia;Hong Jiang;Dan Feng;Yu Hua.
usenix annual technical conference (2011)
A Comprehensive Study of the Past, Present, and Future of Data Deduplication
Wen Xia;Hong Jiang;Dan Feng;Fred Douglis.
Proceedings of the IEEE (2016)
PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems
Lei Tian;Dan Feng;Hong Jiang;Ke Zhou.
file and storage technologies (2007)
Ranking community answers by modeling question-answer relationships via analogical reasoning
Xin-Jing Wang;Xudong Tu;Dan Feng;Lei Zhang.
international acm sigir conference on research and development in information retrieval (2009)
Improving Flash-Based Disk Cache with Lazy Adaptive Replacement
Sai Huang;Qingsong Wei;Dan Feng;Jianxi Chen.
ACM Transactions on Storage (2016)
MAD2: A scalable high-throughput exact deduplication approach for network backup services
Jiansheng Wei;Hong Jiang;Ke Zhou;Dan Feng.
ieee conference on mass storage systems and technologies (2010)
Profile was last updated on December 6th, 2021.
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