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 46 Citations 14,158 87 World Ranking 4314 National Ranking 401

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 investigation include Computer network, Testbed, Distributed computing, Network packet and Data center. Ming Zhang has researched Computer network in several fields, including Throughput and The Internet. His studies deal with areas such as Remote direct memory access, Network congestion, Clos network, Software-defined networking and Transient as well as Testbed.

His studies in Distributed computing integrate themes in fields like Enterprise information system, Enterprise private network and Robustness. His Network packet research includes elements of Spike, State and Class. Ming Zhang studied Service and Set that intersect with Software.

His most cited work include:

  • CloudCmp: comparing public cloud providers (779 citations)
  • Achieving high utilization with software-driven WAN (742 citations)
  • Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof (568 citations)

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

Ming Zhang focuses on Computer network, Distributed computing, Network packet, Real-time computing and World Wide Web. Ming Zhang has included themes like Computer security and The Internet in his Computer network study. His research in Distributed computing intersects with topics in Software deployment, Service, Data center, Testbed and Key.

His biological study spans a wide range of topics, including Transient, Software-defined networking, Load balancing and Clos network. His Real-time computing research includes themes of TCP sequence prediction attack, TCP global synchronization, TCP acceleration, Overhead and Packet loss. His work carried out in the field of World Wide Web brings together such families of science as User device and Cellular data.

He most often published in these fields:

  • Computer network (34.38%)
  • Distributed computing (31.25%)
  • Network packet (13.54%)

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

  • Distributed computing (31.25%)
  • Computer network (34.38%)
  • Cloud computing (11.46%)

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

His primary scientific interests are in Distributed computing, Computer network, Cloud computing, Service and Scalability. His study in Distributed computing is interdisciplinary in nature, drawing from both Network model and Reliability. Computer network connects with themes related to Key in his study.

His Cloud computing study combines topics from a wide range of disciplines, such as Cluster, Computer engineering and Data science. His study on Service also encompasses disciplines like

  • Software deployment together with Failure rate,
  • Wide area network together with Protocol. His Scalability research incorporates elements of Overhead, Single point of failure, Network packet, Network monitoring and Real-time computing.

Between 2015 and 2020, his most popular works were:

  • Cherrypick: adaptively unearthing the best cloud configurations for big data analytics (189 citations)
  • HPCC: high precision congestion control (60 citations)
  • Guaranteeing Deadlines for Inter-Data Center Transfers (53 citations)

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

Understanding data center traffic characteristics

Theophilus Benson;Ashok Anand;Aditya Akella;Ming Zhang.
acm special interest group on data communication (2010)

1542 Citations

CloudCmp: comparing public cloud providers

Ang Li;Xiaowei Yang;Srikanth Kandula;Ming Zhang.
internet measurement conference (2010)

1293 Citations

Achieving high utilization with software-driven WAN

Chi-Yao Hong;Srikanth Kandula;Ratul Mahajan;Ming Zhang.
acm special interest group on data communication (2013)

1179 Citations

Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof

Abhinav Pathak;Y. Charlie Hu;Ming Zhang.
european conference on computer systems (2012)

876 Citations

MicroTE: fine grained traffic engineering for data centers

Theophilus Benson;Ashok Anand;Aditya Akella;Ming Zhang.
conference on emerging network experiment and technology (2011)

729 Citations

Towards highly reliable enterprise network services via inference of multi-level dependencies

Paramvir Bahl;Ranveer Chandra;Albert Greenberg;Srikanth Kandula.
acm special interest group on data communication (2007)

505 Citations

Fine-grained power modeling for smartphones using system call tracing

Abhinav Pathak;Y. Charlie Hu;Ming Zhang;Paramvir Bahl.
european conference on computer systems (2011)

492 Citations

Dynamic scheduling of network updates

Xin Jin;Hongqiang Harry Liu;Rohan Gandhi;Srikanth Kandula.
acm special interest group on data communication (2014)

429 Citations

Anatomizing application performance differences on smartphones

Junxian Huang;Qiang Xu;Birjodh Tiwana;Z. Morley Mao.
international conference on mobile systems, applications, and services (2010)

392 Citations

Congestion Control for Large-Scale RDMA Deployments

Yibo Zhu;Haggai Eran;Daniel Firestone;Chuanxiong Guo.
acm special interest group on data communication (2015)

383 Citations

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