D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 8,774 88 World Ranking 5714 National Ranking 2780

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Operating system
  • The Internet

His primary areas of study are Erasure code, Computer network, Fountain code, Online codes and The Internet. His Erasure code study incorporates themes from Low overhead, Data chunk and Arithmetic. The Server research Cheng Huang does as part of his general Computer network study is frequently linked to other disciplines of science, such as Limelight, therefore creating a link between diverse domains of science.

His research in Fountain code intersects with topics in Tornado code, Computer engineering, Theoretical computer science and Computer data storage. His biological study spans a wide range of topics, including Service and Geolocation. In his study, Bandwidth is strongly linked to Upload, which falls under the umbrella field of Internet video.

His most cited work include:

  • Erasure coding in windows azure storage (714 citations)
  • On the Locality of Codeword Symbols (628 citations)
  • Can internet video-on-demand be profitable? (413 citations)

What are the main themes of his work throughout his whole career to date?

Cheng Huang mostly deals with Computer network, Distributed computing, Erasure code, Erasure and The Internet. His Computer network research incorporates elements of Cloud computing and Internet video. The study incorporates disciplines such as Overlay, File sharing, Scheduling and Mathematical optimization in addition to Distributed computing.

His study in Erasure code is interdisciplinary in nature, drawing from both Block code, Online codes and Fountain code. His The Internet research includes themes of Data center, Code rate, Network conditions and Jitter. He has included themes like Peer-to-peer and Upload in his Bandwidth study.

He most often published in these fields:

  • Computer network (31.18%)
  • Distributed computing (19.35%)
  • Erasure code (17.20%)

What were the highlights of his more recent work (between 2015-2020)?

  • Erasure code (17.20%)
  • Metadata (5.38%)
  • Database (5.38%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Erasure code, Metadata, Database, Distributed data store and Computer data storage. To a larger extent, Cheng Huang studies Algorithm with the aim of understanding Erasure code. His study in the fields of Finite-state machine, State and Decoding methods under the domain of Algorithm overlaps with other disciplines such as Set and Value.

The concepts of his Distributed data store study are interwoven with issues in Executable, Concurrency and Stress testing. The Computer data storage study combines topics in areas such as Hierarchical database model, Source data and Data management. His Storage efficiency research integrates issues from Data chunk, Theoretical computer science and Constant-weight code.

Between 2015 and 2020, his most popular works were:

  • Giza: Erasure coding objects across global data centers (35 citations)
  • Flexible erasure coding with enhanced local protection group structures (34 citations)
  • Uncovering bugs in distributed storage systems during testing (not in production (10 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • Operating system
  • The Internet

Cheng Huang mainly investigates Erasure code, Computer security, Theoretical computer science, Constant-weight code and Machine failure. His research integrates issues of Algorithm, Decoding methods, Variable-length code, Storage efficiency and Systematic code in his study of Theoretical computer science.

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.

Best Publications

Erasure coding in windows azure storage

Cheng Huang;Huseyin Simitci;Yikang Xu;Aaron Ogus.
usenix annual technical conference (2012)

1051 Citations

Pyramid Codes: Flexible Schemes to Trade Space for Access Efficiency in Reliable Data Storage Systems

Cheng Huang;Minghua Chen;Jin Li.
ACM Transactions on Storage (2013)

864 Citations

STAR : An Efficient Coding Scheme for Correcting Triple Storage Node Failures

Cheng Huang;Lihao Xu.
IEEE Transactions on Computers (2008)

734 Citations

On the Locality of Codeword Symbols

P. Gopalan;Cheng Huang;H. Simitci;S. Yekhanin.
IEEE Transactions on Information Theory (2012)

734 Citations

Can internet video-on-demand be profitable?

Cheng Huang;Jin Li;Keith W. Ross.
acm special interest group on data communication (2007)

662 Citations

Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads

Osama Khan;Randal Burns;James Plank;William Pierce.
file and storage technologies (2012)

402 Citations

Determining Network Delay and CDN Deployment

Cheng Huang;Jin Li;Angela Wang;Keith Wimberly Ross.
(2008)

268 Citations

Towards street-level client-independent IP geolocation

Yong Wang;Daniel Burgener;Marcel Flores;Aleksandar Kuzmanovic.
networked systems design and implementation (2011)

247 Citations

Simple regenerating codes: Network coding for cloud storage

Dimitris S. Papailiopoulos;Jianqiang Luo;Alexandros G. Dimakis;Cheng Huang.
international conference on computer communications (2012)

240 Citations

Erasure coding across multiple zones and sub-zones

Sergey Yekhanin;Huseyin Simitci;Aaron W. Ogus;Jin Li.
(2014)

226 Citations

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