H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 34 Citations 9,513 81 World Ranking 6234 National Ranking 3001

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • The Internet

Navendu Jain focuses on Distributed computing, Computer network, Data center, Scalability and Cloud computing. The study incorporates disciplines such as Virtual machine, Bandwidth and Computation in addition to Distributed computing. His Server and Load balancing study in the realm of Computer network connects with subjects such as Automated data and Quality constraint.

His Server study incorporates themes from Network architecture, Temporal isolation among virtual machines and Ethernet. His work in Load balancing covers topics such as Network traffic control which are related to areas like Network operations center, Core network, Data center network architectures, Network simulation and Network management station. His Data center research integrates issues from Reliability and Network packet.

His most cited work include:

  • VL2: a scalable and flexible data center network (1990 citations)
  • Understanding network failures in data centers: measurement, analysis, and implications (547 citations)
  • Managing runtime execution of applications on cloud computing systems (307 citations)

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

Navendu Jain mostly deals with Distributed computing, Computer network, Cloud computing, Server and Data center. His Distributed computing study integrates concerns from other disciplines, such as Scalability, Resource allocation, Real-time computing, Node and Bandwidth. His biological study spans a wide range of topics, including Bluetooth, Scatternet and Wireless.

His Cloud computing research incorporates themes from Computer security, Virtual machine, Scheduling and Batch processing. His Data center research includes themes of Reliability engineering, Load balancing and Identification. Navendu Jain interconnects Network architecture, Network traffic control, Ethernet and Temporal isolation among virtual machines in the investigation of issues within Load balancing.

He most often published in these fields:

  • Distributed computing (32.08%)
  • Computer network (23.58%)
  • Cloud computing (22.64%)

What were the highlights of his more recent work (between 2016-2021)?

  • Data mining (10.38%)
  • Computer network (23.58%)
  • Relationship extraction (1.89%)

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

Navendu Jain spends much of his time researching Data mining, Computer network, Relationship extraction, 2019-20 coronavirus outbreak and Severe acute respiratory syndrome coronavirus 2. His work deals with themes such as Probabilistic logic, Outlier and Feature vector, which intersect with Data mining. His Feature vector research is multidisciplinary, relying on both Communication source, Similarity measure and Feature.

His study in the field of Server also crosses realms of Commodity. His work investigates the relationship between Component and topics such as Artificial intelligence that intersect with problems in Natural language processing. His work in the fields of Wireless, such as Piconet, Wireless ad hoc network and Personal area network, overlaps with other areas such as Binary logarithm.

Between 2016 and 2021, his most popular works were:

  • Knowledge base for analysis of text (14 citations)
  • Hybrid hardware-software distributed threat analysis (14 citations)
  • Domain review system for identifying entity relationships and corresponding insights (13 citations)

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

  • Operating system
  • Computer network
  • The Internet

Navendu Jain mainly investigates Relationship extraction, Data mining, Artificial intelligence, Set and Domain. Deep neural networks, Machine learning and Component are fields of study that overlap with his Relationship extraction research. In general Data mining study, his work on Similarity measure often relates to the realm of Electronic communication, thereby connecting several areas of interest.

His Ontology, Knowledge base and Class study in the realm of Artificial intelligence interacts with subjects such as Code segment and Feature. Set is connected with Routing, Classifier and Natural language processing in his research. In his works, Navendu Jain conducts interdisciplinary research on Domain and A domain.

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

VL2: a scalable and flexible data center network

Albert Greenberg;James R. Hamilton;Navendu Jain;Srikanth Kandula.
acm special interest group on data communication (2009)

3140 Citations

Understanding network failures in data centers: measurement, analysis, and implications

Phillipa Gill;Navendu Jain;Nachiappan Nagappan.
acm special interest group on data communication (2011)

823 Citations

Volley: automated data placement for geo-distributed cloud services

Sharad Agarwal;John Dunagan;Navendu Jain;Stefan Saroiu.
networked systems design and implementation (2010)

455 Citations

Managing runtime execution of applications on cloud computing systems

Navendu Jain.
(2010)

447 Citations

Managing cost, performance, and reliability tradeoffs for energy-aware server provisioning

Brian Guenter;Navendu Jain;Charles Williams.
international conference on computer communications (2011)

305 Citations

Design, implementation, and evaluation of the linear road bnchmark on the stream processing core

Navendu Jain;Lisa Amini;Henrique Andrade;Richard King.
international conference on management of data (2006)

279 Citations

TAPER: tiered approach for eliminating redundancy in replica synchronization

Navendu Jain;Mike Dahlin;Renu Tewari.
file and storage technologies (2005)

219 Citations

Adaptive Control of Extreme-scale Stream Processing Systems

L. Amini;N. Jain;A. Sehgal;J. Silber.
international conference on distributed computing systems (2006)

200 Citations

Agile data center network architecture

Albert Greenberg;Parantap Lahiri;David A. Maltz;Parveen K. Patel.
(2010)

195 Citations

Resource management for cloud computing platforms

Navendu Jain;Ishai Menache.
(2011)

190 Citations

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