World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8955
World Ranking
6199
National Ranking
2779

Overview

Hong Jiang is affiliated with The University of Texas at Arlington in the United States. Their research contributions are primarily situated within the field of Computer Science, encompassing a total of 123 publications. The subfields of study in which they have made notable contributions include Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, and Hardware and Architecture.

The scientist's work covers a range of topics mostly centered on Advanced Data Storage Technologies, Caching and Content Delivery, Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Cloud Data Security Solutions, Graph Theory and Algorithms, and Distributed and Parallel Computing Systems.

Hong Jiang has a record of publishing frequently in several scholarly venues. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Computers
  • ACM Transactions on Storage
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Their recent papers demonstrate a focus on data storage, system performance optimization, and computing models. Key publications include:

  • "The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems" (2020) in IEEE Transactions on Parallel and Distributed Systems
  • "Evolutionary game analysis and simulation with system dynamics for behavioral strategies of participants in crowd logistics" (2020) in Transportation Letters
  • "A Fast Filtering Mechanism to Improve Efficiency of Large-Scale Video Analytics" (2020) in IEEE Transactions on Computers
  • "A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications" (2020) in IEEE Transactions on Parallel and Distributed Systems
  • "Improving the Performance of Deduplication-Based Storage Cache via Content-Driven Cache Management Methods" (2020) in IEEE Transactions on Parallel and Distributed Systems

Frequent collaborative partners include Dan Feng, Yongli Cheng, Xianghao Xu, Qiang Cao, and Fang Wang, with collaborative counts ranging from six to fourteen joint works.

Best Publications

  • Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • A Comprehensive Study of the Past, Present, and Future of Data Deduplication

    Wen Xia;Hong Jiang;Dan Feng;Fred Douglis

  • Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage

    Hui Tian;Yuxiang Chen;Chin-Chen Chang;Hong Jiang

  • SiLo: a similarity-locality based near-exact deduplication scheme with low RAM overhead and high throughput

    Wen Xia;Hong Jiang;Dan Feng;Yu Hua

  • A novel fault-tolerant scheduling algorithm for precedence constrained tasks in real-time heterogeneous systems

    Xiao Qin;Hong Jiang

  • Exploring and Exploiting the Multilevel Parallelism Inside SSDs for Improved Performance and Endurance

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • A dynamic and reliability-driven scheduling algorithm for parallel real-time jobs executing on heterogeneous clusters

    Xiao Qin;Hong Jiang

  • An efficient fault-tolerant scheduling algorithm for real-time tasks with precedence constraints in heterogeneous systems

    Xiao Qin;Hong Jiang;D.R. Swanson

  • PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems

    Lei Tian;Dan Feng;Hong Jiang;Ke Zhou

  • MAD2: A scalable high-throughput exact deduplication approach for network backup services

    Jiansheng Wei;Hong Jiang;Ke Zhou;Dan Feng

  • HPDA: A hybrid parity-based disk array for enhanced performance and reliability

    Bo Mao;Hong Jiang;Dan Feng;Suzhen Wu

  • P-Code: a new RAID-6 code with optimal properties

    Chao Jin;Hong Jiang;Dan Feng;Lei Tian

  • DEBAR: A scalable high-performance de-duplication storage system for backup and archiving

    Tianming Yang;Hong Jiang;Dan Feng;Zhongying Niu

  • HBA: Distributed Metadata Management for Large Cluster-Based Storage Systems

    Yifeng Zhu;Hong Jiang;Jun Wang;Feng Xian

  • WorkOut: I/O workload outsourcing for boosting RAID reconstruction performance

    Suzhen Wu;Hong Jiang;Dan Feng;Lei Tian

  • SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

    Yujuan Tan;Hong Jiang;Dan Feng;Lei Tian

  • AA-Dedupe: An Application-Aware Source Deduplication Approach for Cloud Backup Services in the Personal Computing Environment

    Yinjin Fu;Hong Jiang;Nong Xiao;Lei Tian

  • Dynamic, reliability-driven scheduling of parallel real-time jobs in heterogeneous systems

    X. Qin;H. Jiang

  • Middleware infrastructure for parallel and distributed programming models in heterogeneous systems

    J. Al-Jaroodi;N. Mohamed;H. Jiang;D. Swanson

  • SmartStore: a new metadata organization paradigm with semantic-awareness for next-generation file systems

    Yu Hua;Hong Jiang;Yifeng Zhu;Dan Feng

  • FastCDC: a fast and efficient content-defined chunking approach for data deduplication

    Wen Xia;Yukun Zhou;Hong Jiang;Dan Feng

  • MatrixKV: Reducing Write Stalls and Write Amplification in LSM-tree Based {KV} Stores with Matrix Container in {NVM}

    Ting Yao;Yiwen Zhang;Jiguang Wan;Qiu Cui

Frequent Co-Authors

Dan Feng
Dan Feng Huazhong University of Science and Technology
Xiao Qin
Xiao Qin Auburn University
Jameela Al-Jaroodi
Jameela Al-Jaroodi Robert Morris University
Nader Mohamed
Nader Mohamed California University of Pennsylvania
Changsheng Xie
Changsheng Xie Huazhong University of Science and Technology
Laxmi N. Bhuyan
Laxmi N. Bhuyan University of California, Riverside
Jun Wang
Jun Wang University of Central Florida
Dipak Ghosal
Dipak Ghosal University of California, Davis
Song Jiang
Song Jiang The University of Texas at Arlington
Xue Liu
Xue Liu McGill University

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