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Bo Sang

  1. PowerTracer: Tracing requests in multi-tier services to save cluster power consumption.

    Чт, 07/29/2010 - 15:01 — SomNambul
    Authors: Lei Wang, Lin Yuan, Jianfeng Zhan, Bo Sang, Haining Wang
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    As energy proportional computing has extended the success of DVFS (Dynamic
    voltage and frequency scaling) to the entire system, DVFS control algorithms
    will play a key role in reducing server clusters' power consumption. The focus
    of this paper is to provide accurate cluster-level DVFS control for power
    saving in a server cluster. To achieve this goal, we propose a request tracing
    approach that online classifies the major causal path patterns and monitors
    their performance data as a guide for accurate DVFS control.

  2. Decreasing log data of multi-tier services for effective request tracing.

    Пт, 03/05/2010 - 16:01 — SomNambul
    Authors: Jianfeng Zhan, Bo Sang, Guanhua Tian
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    Previous work shows request tracing systems help understand and debug the
    performance problems of multi-tier services. However, for large-scale data
    centers, more than hundreds of thousands of service instances provide online
    service at the same time. Previous work such as white-box or black box tracing
    systems will produce large amount of log data, which would be correlated into
    large quantities of causal paths for performance debugging. In this paper, we
    propose an innovative algorithm to eliminate valueless logs of multitiers
    services.

  3. Precise Request Tracing and Performance Debugging for Multi-tier Services of Black Boxes.

    Пт, 03/05/2010 - 16:01 — SomNambul
    Authors: Lei Wang, Jianfeng Zhan, Dan Meng, Yong Li, Zhihong Zhang, Bo Sang
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    As more and more multi-tier services are developed from commercial components
    or heterogeneous middleware without the source code available, both developers
    and administrators need a precise request tracing tool to help understand and
    debug performance problems of large concurrent services of black boxes.
    Previous work fails to resolve this issue in several ways: they either accept
    the imprecision of probabilistic correlation methods, or rely on knowledge of
    protocols to isolate requests in pursuit of tracing accuracy.

Math-arch

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