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Navendu Jain
Researcher at Microsoft
Publications - 98
Citations - 8818
Navendu Jain is an academic researcher from Microsoft. The author has contributed to research in topics: Cloud computing & Data center. The author has an hindex of 39, co-authored 98 publications receiving 8397 citations. Previous affiliations of Navendu Jain include Indian Institutes of Technology & IBM.
Papers
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Proceedings ArticleDOI
VL2: a scalable and flexible data center network
Albert Greenberg,James R. Hamilton,Navendu Jain,Srikanth Kandula,Changhoon Kim,Parantap Lahiri,David A. Maltz,Parveen Patel,Sudipta Sengupta +8 more
TL;DR: VL2 is a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics, and is built on a working prototype.
Journal ArticleDOI
VL2: a scalable and flexible data center network
Albert Greenberg,James R. Hamilton,Navendu Jain,Srikanth Kandula,Changhoon Kim,Parantap Lahiri,David A. Maltz,Parveen Patel,Sudipta Sengupta +8 more
TL;DR: VL2 is a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics and can be deployed today, and a working prototype is built.
Proceedings ArticleDOI
Understanding network failures in data centers: measurement, analysis, and implications
TL;DR: The first large-scale analysis of failures in a data center network is presented, finding that data center networks show high reliability, commodity switches such as ToRs and AggS are highly reliable, and network redundancy is only 40% effective in reducing the median impact of failure.
Proceedings ArticleDOI
Volley: automated data placement for geo-distributed cloud services
TL;DR: Volley is evaluated on the month-long Live Mesh trace, and it is found that, compared to a state-of-the-art heuristic, Volley simultaneously reduces datacenter capacity skew, reduces inter-datacenter traffic by over 1.8× and reduces 75th percentile user-latency by over 30%.
Patent
Managing runtime execution of applications on cloud computing systems
TL;DR: In this paper, a monitor application is generated from a specification, which defines properties of the application/cloud to monitor and rules based on the properties each rule may have one or more conditions Each monitor instance running on a host, monitors execution of the corresponding application instance on that host by obtaining from the host information regarding values of properties on the host per the application instance.