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    JSAC
    2006
    112views more  JSAC 2006»
    Network Kriging
    13 years 8 months ago
    Network Kriging
    Download  www.cs.bu.edu
    ABSTRACT. Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide...
    David B. Chua, Eric D. Kolaczyk, Mark Crovella
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    MMS
    2006
    107views Information Technology» more  MMS 2006»
    Adaptive receiver-driven streaming from multiple senders
    13 years 8 months ago
    Adaptive receiver-driven streaming from multiple senders
    Download  mirage.cs.uoregon.edu
    This paper presents design and evaluation of an adaptive streaming mechanism from multiple senders to a single receiver in Peer-toPeer (P2P) networks, called P2P Adaptive Layered ...
    Nazanin Magharei, Reza Rejaie
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    TWC
    2008
    133views more  TWC 2008»
    Beam Selection Strategies for Orthogonal Random Beamforming in Sparse Networks
    13 years 8 months ago
    Beam Selection Strategies for Orthogonal Random Beamforming in Sparse Networks
    Download  spcomnav.uab.es
    Abstract--Orthogonal random beamforming (ORB) constitutes a mean to exploit spatial multiplexing and multi-user diversity (MUD) gains in multi-antenna broadcast channels. To do so,...
    José López Vicario, Roberto Bosisio,...
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    PVLDB
    2008
    138views more  PVLDB 2008»
    A skip-list approach for efficiently processing forecasting queries
    13 years 8 months ago
    A skip-list approach for efficiently processing forecasting queries
    Download  protocols.netlab.uky.edu
    Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
    Tingjian Ge, Stanley B. Zdonik
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    PVLDB
    2008
    116views more  PVLDB 2008»
    Tighter estimation using bottom k sketches
    13 years 8 months ago
    Tighter estimation using bottom k sketches
    Download  www.math.tau.ac.il
    Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
    Edith Cohen, Haim Kaplan
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