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    EOR
    2007
    147views more  EOR 2007»
    Routing and wavelength assignment in optical networks using bin packing based algorithms
    13 years 11 months ago
    Routing and wavelength assignment in optical networks using bin packing based algorithms
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    This paper addresses the problem of routing and wavelength assignment (RWA) of static lightpath requests in wavelength routed optical networks. The objective is to minimize the nu...
    Nina Skorin-Kapov
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    JSC
    2006
    97views more  JSC 2006»
    Improving the DISPGB algorithm using the discriminant ideal
    13 years 11 months ago
    Improving the DISPGB algorithm using the discriminant ideal
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    In 1992, V. Weispfenning proved the existence of Comprehensive Gr
    Montserrat Manubens, Antonio Montes
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    JSAC
    2006
    135views more  JSAC 2006»
    Route-Metric-Based Dynamic Routing and Wavelength Assignment for Multifiber WDM Networks
    13 years 11 months ago
    Route-Metric-Based Dynamic Routing and Wavelength Assignment for Multifiber WDM Networks
    Download  www.sfu.ca
    We present three dynamic routing and wavelength assignment (RWA) algorithms that are intended for multifiber WDM networks without wavelength converters. For networks with a large n...
    Jong-Seon Kim, D. C. Lee, H. Sridhar
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    JSAC
    2006
    95views more  JSAC 2006»
    Impact of Packet Sampling on Portscan Detection
    13 years 11 months ago
    Impact of Packet Sampling on Portscan Detection
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    Abstract-- Packet sampling is commonly deployed in highspeed backbone routers to minimize resources used for network monitoring. It is known that packet sampling distorts traffic s...
    Jianning Mai, Ashwin Sridharan, Chen-Nee Chuah, Hu...
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    JSAC
    2006
    96views more  JSAC 2006»
    Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
    13 years 11 months ago
    Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
    Download  www.princeton.edu
    Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
    Jang-Won Lee, Mung Chiang, A. Robert Calderbank
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    JPDC
    2006
    134views more  JPDC 2006»
    Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs
    13 years 11 months ago
    Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs
    Download  domino.research.ibm.com
    Minimum Spanning Tree (MST) is one of the most studied combinatorial problems with practical applications in VLSI layout, wireless communication, and distributed networks, recent ...
    David A. Bader, Guojing Cong
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    JNW
    2006
    98views more  JNW 2006»
    Efficient Distributed Algorithm for RWA Using Path Protection
    13 years 11 months ago
    Efficient Distributed Algorithm for RWA Using Path Protection
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    A number of Integer Linear Program (ILP) formulations for both static and dynamic lightpath allocation have been proposed, for the design of survivable WDM networks. However, such ...
    Arunita Jaekel, Ying Chen
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    JNW
    2006
    145views more  JNW 2006»
    A Comparison of Replication Strategies for Reliable Decentralised Storage
    13 years 11 months ago
    A Comparison of Replication Strategies for Reliable Decentralised Storage
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    Distributed hash tables (DHTs) can be used as the basis of a resilient lookup service in unstable environments: local routing tables are updated to reflected changes in the network...
    Matthew Leslie, Jim Davies, Todd Huffman
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    JMLR
    2006
    120views more  JMLR 2006»
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    13 years 11 months ago
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    Download  jmlr.csail.mit.edu
    We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
    Juho Rousu, Craig Saunders, Sándor Szedm&aa...
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    JMLR
    2006
    99views more  JMLR 2006»
    Worst-Case Analysis of Selective Sampling for Linear Classification
    13 years 11 months ago
    Worst-Case Analysis of Selective Sampling for Linear Classification
    Download  jmlr.csail.mit.edu
    A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
    Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
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