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Xiaoliang Wei

Researcher at Facebook

Publications -  11
Citations -  346

Xiaoliang Wei is an academic researcher from Facebook. The author has contributed to research in topics: Page view & Network congestion. The author has an hindex of 7, co-authored 11 publications receiving 344 citations. Previous affiliations of Xiaoliang Wei include California Institute of Technology.

Papers
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Proceedings ArticleDOI

Optimizing 10-Gigabit Ethernet for Networks of Workstations, Clusters, and Grids: A Case Study

TL;DR: 10GbE may be a cost-effective solution across a multitude of computing environments and is demonstrated that the 10GbE adapter can perform well in local-area, storage- area, system-area and wide-area networks.
Patent

Predictive resource identification and phased delivery of structured documents

TL;DR: In this article, the authors propose a data structure comprising an entry for the target structured document and one or more first resources associated with the target document, generating a first response portion including a first portion of the target text, including one OR more of the first resources or references for one or multiple first resources, and transmitting the first response component to the client.
Patent

Method and apparatus for network congestion control

TL;DR: In this article, the authors proposed a delay-based congestion model that uses queueing delay as a congestion measure, providing advantages over prior art loss-based systems, such as packet losses in networks with large bandwidth-delay product.
Patent

Caching pagelets of structured documents

TL;DR: In this article, the authors identify one or more resource portions stored in a cache, each resource portion corresponding to a portion of a structured document for use to render the requested web page.
Journal ArticleDOI

Equilibrium of heterogeneous congestion control: optimality and stability

TL;DR: A simple source-based algorithm to decouple bandwidth allocation from router parameters and flow arrival patterns by only updating a linear parameter in the sources' algorithms on a slow timescale steers a network to the unique optimal equilibrium.