His primary areas of study are Computer network, Distributed computing, Cloud computing, Quality of service and Routing protocol. Haiying Shen has included themes like File system fragmentation, Self-certifying File System and Scalability in his Computer network study. His study in Scalability is interdisciplinary in nature, drawing from both Bandwidth, Cluster analysis and Social network.
Haiying Shen combines subjects such as Node and Testbed with his study of Distributed computing. His work deals with themes such as Virtual machine, Scheduling, Real-time computing and Data management, which intersect with Cloud computing. The Quality of service study combines topics in areas such as PlanetLab, Information retrieval and Knowledge extraction.
The scientist’s investigation covers issues in Computer network, Distributed computing, Cloud computing, Server and Scalability. Computer network is closely attributed to File sharing in his study. His File sharing research is multidisciplinary, incorporating perspectives in Computer security, Self-certifying File System and Social network.
His Distributed computing research is multidisciplinary, incorporating elements of Testbed, Resource and Resource allocation. His biological study spans a wide range of topics, including Virtual machine, Scheduling and Bandwidth. His study explores the link between Scalability and topics such as Overhead that cross with problems in Node.
His scientific interests lie mostly in Cloud computing, Distributed computing, Real-time computing, Reinforcement learning and Server. His Cloud computing research includes themes of Virtual machine, Machine learning, Scalability and Artificial intelligence. Haiying Shen does research in Distributed computing, focusing on Load balancing specifically.
His Server research integrates issues from Service-level agreement, Distributed database and Reservation. Haiying Shen incorporates a variety of subjects into his writings, including Replica, Node and Computer network. Haiying Shen studies Flooding, a branch of Computer network.
Haiying Shen mainly investigates Cloud computing, Reliability, Distributed computing, Server and Virtual machine. He interconnects Machine learning, Artificial intelligence and Backup in the investigation of issues within Cloud computing. Haiying Shen performs multidisciplinary studies into Distributed computing and Job performance in his work.
His Server research incorporates themes from Cloud storage, Data loss and Distributed database. His Virtual machine research incorporates elements of Quality of service, Cluster analysis, Elasticity, Load balancing and Provisioning. His work in the fields of Network Load Balancing Services overlaps with other areas such as Load management.
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.
A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC)
Kakan C. Dey;Li Yan;Xujie Wang;Yue Wang.
IEEE Transactions on Intelligent Transportation Systems (2016)
ALERT: An Anonymous Location-Based Efficient Routing Protocol in MANETs
Haiying Shen;Lianyu Zhao.
IEEE Transactions on Mobile Computing (2013)
Load Rebalancing for Distributed File Systems in Clouds
Hung-Chang Hsiao;Hsueh-Yi Chung;Haiying Shen;Yu-Chang Chao.
IEEE Transactions on Parallel and Distributed Systems (2013)
Game-Theoretic Analysis of Cooperation Incentive Strategies in Mobile Ad Hoc Networks
Ze Li;Haiying Shen.
IEEE Transactions on Mobile Computing (2012)
A Survey of Mobile Crowdsensing Techniques: A Critical Component for The Internet of Things
Jinwei Liu;Haiying Shen;Husnu S. Narman;Wingyan Chung.
the internet of things (2018)
Cycloid: a constant-degree and lookup-efficient P2P overlay network
Haiying Shen;Cheng-Zhong Xu;Guihai Chen.
Performance Evaluation (2006)
A Survey of Mobile Crowdsensing Techniques: A Critical Component for the Internet of Things
Jinwei Liu;Haiying Shen;Xiang Zhang.
international conference on computer communications and networks (2016)
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
Rajkumar Buyya;Satish Narayana Srirama;Giuliano Casale;Rodrigo Calheiros.
ACM Computing Surveys (2018)
An Efficient and Adaptive Decentralized File Replication Algorithm in P2P File Sharing Systems
IEEE Transactions on Parallel and Distributed Systems (2010)
Locality-Aware and Churn-Resilient Load-Balancing Algorithms in Structured Peer-to-Peer Networks
H. Shen;C.-Z. Xu.
IEEE Transactions on Parallel and Distributed Systems (2007)
Profile was last updated on December 6th, 2021.
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