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Guohui Wang

Researcher at Rice University

Publications -  26
Citations -  2494

Guohui Wang is an academic researcher from Rice University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 14, co-authored 19 publications receiving 2309 citations. Previous affiliations of Guohui Wang include University of California & Alibaba Group.

Papers
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Proceedings ArticleDOI

The Impact of Virtualization on Network Performance of Amazon EC2 Data Center

TL;DR: The results show that even though the data center network is lightly utilized, virtualization can still cause significant throughput instability and abnormal delay variations.
Proceedings ArticleDOI

c-Through: part-time optics in data centers

TL;DR: This work proposes a hybrid packet and circuit switched data center network architecture (or HyPaC) which augments the traditional hierarchy of packet switches with a high speed, low complexity, rack-to-rack optical circuit-switched network to supply high bandwidth to applications.
Journal ArticleDOI

Meridian: an SDN platform for cloud network services

TL;DR: This article describes the architecture and implementation of Meridian, an SDN controller platform that supports a service-level model for application networking in clouds, and discusses some of the key challenges in the design and implementation, including how to efficiently handle dynamic updates to virtual networks, orchestration of network tasks on a large set of devices, and how Meridian can be integrated with multiple cloud controllers.
Proceedings ArticleDOI

Programming your network at run-time for big data applications

TL;DR: This study uses Hadoop as an example to discuss the integrated network control architecture, job scheduling, topology and routing configuration mechanisms for Hadoops, and suggests that such an integrated control has great potential to improve application performance with relatively small configuration overhead.
Proceedings ArticleDOI

Measurement based analysis, modeling, and synthesis of the internet delay space

TL;DR: A simple model of the Internet delay space is derived that preserves the relevant metrics far better than existing models, allows for a compact representation, and can be used to synthesize delay data for simulations and emulations at a scale where direct measurement and storage are impractical.