Anna Liu

  1. Peer-to-Peer Cloud Provisioning: Service Discovery and Load-Balancing.

    Authors: Anna Liu, Rajiv Ranjan, Liang Zhao, Xiaomin Wu
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    This chapter presents: (i) a layered peer-to-peer Cloud provisioning
    architecture; (ii) a summary of the current state-of-the-art in Cloud
    provisioning with particular emphasis on service discovery and load-balancing;
    (iii) a classification of the existing peer-to-peer network management model
    with focus on extending the DHTs for indexing and managing complex provisioning
    information; and (iv) the design and implementation of novel, extensible
    software fabric (Cloud peer) that combines public/private clouds, overlay
    networking and structured peer-to-peer indexing techniques for supporting
    s

  2. Capturing Data Uncertainty in High-Volume Stream Processing.

    Authors: Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Charles Sutton, Thanh Tran, Michael Zink
    Subjects: Databases
    Abstract

    We present the design and development of a data stream system that captures
    data uncertainty from data collection to query processing to final result
    generation. Our system focuses on data that is naturally modeled as continuous
    random variables. For such data, our system employs an approach grounded in
    probability and statistical theory to capture data uncertainty and integrates
    this approach into high-volume stream processing. The first component of our
    system captures uncertainty of raw data streams from sensing devices.

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