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    λ group: Using Optics to Take Group Data Delivery in the Datacenter to the Next Degree 

    Bergman, Keren; Ng, T. S. Eugene; Sripanidkulchai, Kunwadee; Wang, Howard; Xia, Yiting (2014-02-17)
    The increasing number of datacenter applications with heavy one-to-many communications has raised the need for an efficient group data delivery solution. This paper presents an unconventional clean-slate architecture called ...
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    Exploiting Internet Delay Space Properties for Sybil Attack Mitigation 

    Ng, T. S. Eugene; Zhang, Bo (2008-06-02)
    Recent studies have discovered that the Internet delay space has many interesting properties such as triangle inequality violations (TIV), clustering structures, and constrained growth. Understanding these properties has ...
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    RCMP: A System Enabling Efficient Re-computation Based Failure Resilience for Big Data Analytics 

    Dinu, Florin; Ng, T. S. Eugene (2013-04-30)
    Multi-job I/O-intensive big-data computations can suffer a significant performance hit due to relying on data replication as the main failure resilience strategy. Data replication is inherently an expensive operation for ...
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    Pacer: Taking the Guesswork Out of Live Migrations in Hybrid Cloud Computing 

    Zheng, Jie; Ng, T. S. Eugene; Sripanidkulchai, Kunwadee; Liu, Zhaolei (2013-10-01)
    Hybrid cloud computing, where private and public cloud resources are combined and applications can migrate freely, ushers in unprecedented flexibility for businesses. To unleash the benefits, commercial products already ...
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    COMMA: Coordinating the Migration of Multi-tier Applications 

    Liu, Zhaolei; Ng, T. S. Eugene; Sripanidkulchai, Kunwadee; Zheng, Jie (2014-11-24)
    Multi-tier applications are widely deployed in today’s virtualized cloud computing environments. At the same time, management operations in these virtualized environments, such as load balancing, hardware maintenance, ...
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    Analysis of Hadoop’s Performance under Failures 

    Dinu, Florin; Ng, T. S. Eugene (2011-08-11)
    Failures are common in today’s data center environment and can significantly impact the performance of important jobs running on top of large scale computing frameworks. In this paper we analyze Hadoop’s behavior under ...
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    The Preliminary Design and Implementation of the Maestro Network Control Platform 

    Cai, Zheng; Cox, Alan L.; Dinu, Florin; Ng, T. S. Eugene; Zheng, Jie (2008-10-01)
    Network operation is inherently complex because it consists of many functions such as routing, firewalling, VPN provisioning, traffic load-balancing, network maintenance, etc. To cope with this, network designers have ...
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    Measurement-Based Analysis, Modeling, and Synthesis of the Internet Delay Space for Large Scale Simulation 

    Zhang, Bo; Ng, T. S. Eugene; Nandi, Animesh; Riedi, Rudolf H.; Druschel, Peter; Wang, Guohui (2006-10-04)
    The characteristics of packet delays among edge networks in the Internet can have a significant impact on the performance and scalability of global-scale distributed systems. Designers rely on simulation to study design ...
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    Maestro: A System for Scalable OpenFlow Control 

    Cai, Zheng; Cox, Alan L.; Ng, T. S. Eugene (2010-12-04)
    The fundamental feature of an OpenFlow network is that the controller is responsible for the initial establishment of every flow by contacting related switches. Thus the performance of the controller could be a bottleneck. ...
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    MMS: An Autonomic Network-Layer Foundation for Network Management 

    Gogineni, Hemant; Greenberg, Albert; Maltz, David A.; Ng, T. S. Eugene; Yan, Hong; Zhang, Hui (2008-12-03)
    Networks cannot be managed without communication among geographically distributed network devices and control agents. Unfortunately, computer networks today lack an autonomic mechanism that enables such communications, and ...
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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
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    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892