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.
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.
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.
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.
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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)
Understanding network failures in data centers: measurement, analysis, and implications
Phillipa Gill;Navendu Jain;Nachiappan Nagappan.
acm special interest group on data communication (2011)
Volley: automated data placement for geo-distributed cloud services
Sharad Agarwal;John Dunagan;Navendu Jain;Stefan Saroiu.
networked systems design and implementation (2010)
Managing runtime execution of applications on cloud computing systems
Managing cost, performance, and reliability tradeoffs for energy-aware server provisioning
Brian Guenter;Navendu Jain;Charles Williams.
international conference on computer communications (2011)
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)
TAPER: tiered approach for eliminating redundancy in replica synchronization
Navendu Jain;Mike Dahlin;Renu Tewari.
file and storage technologies (2005)
Adaptive Control of Extreme-scale Stream Processing Systems
L. Amini;N. Jain;A. Sehgal;J. Silber.
international conference on distributed computing systems (2006)
Agile data center network architecture
Albert Greenberg;Parantap Lahiri;David A. Maltz;Parveen K. Patel.
Resource management for cloud computing platforms
Navendu Jain;Ishai Menache.
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