Y
Yueping Zhang
Researcher at Princeton University
Publications - 6
Citations - 206
Yueping Zhang is an academic researcher from Princeton University. The author has contributed to research in topics: Optical burst switching & Network topology. The author has an hindex of 6, co-authored 6 publications receiving 206 citations. Previous affiliations of Yueping Zhang include NEC.
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Patent
Hybrid optical/electrical switching system for data center networks
TL;DR: In this paper, a system includes one or more electrical switches to transfer data in a data network; one OR more optical switching groups coupled to each electrical switch, each switching group having one or multiple server racks, each server rack coupled to a top of rack (TOR) switch and an optical transceiver coupled to the TOR switch; and an OSS unit (OSU) coupled with the one ORMore optical switching units.
Patent
Optical switching network
TL;DR: In this article, the authors describe a method to communicate over an optical network by using hop-by-hop routing over the optical network and dynamically constructing a network topology, and present a method for dynamically constructing the topology.
Proceedings ArticleDOI
Optimal Probing for Unicast Network Delay Tomography
TL;DR: This work presents priority probing, an optimal probing scheme for unicast network delay tomography that is proven to provide the most accurate estimation and proposes a greedy algorithm that approximates the optimal solution.
Patent
Method and apparatus for implementing a multi-dimensional optical circuit switching fabric
Yueping Zhang,Lei Xu +1 more
TL;DR: In this article, an optical switching system is described, which includes a plurality of interconnected wavelength selective switching units associated with one or more server racks, each of which is associated with a server rack.
Patent
System and method for determining application dependency paths in a data center
TL;DR: In this article, a method and a system are disclosed for determining application dependency paths in a data center, and the system captures application traffic volume data on the servers with switches and monitoring agents; generates an application traffic matrix of all the components of the applications based on the application traffic volumes data; estimates the number of applications in the data center from the traffic matrix with a Rank Estimation via Singular Value Decomposition or Power Factorization Residue Errors process.