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    • 65. 发明授权
    • Scalable traffic classifier and classifier training system
    • 可扩展流量分类器和分类器训练系统
    • US09349102B2
    • 2016-05-24
    • US13620668
    • 2012-09-14
    • Subhabrata SenNicholas DuffieldPatrick HaffnerJeffrey ErmanYu Jin
    • Subhabrata SenNicholas DuffieldPatrick HaffnerJeffrey ErmanYu Jin
    • G06N99/00
    • G06N99/005
    • A traffic classifier has a plurality of binary classifiers, each associated with one of a plurality of calibrators. Each calibrator trained to translate an output score of the associated binary classifier into an estimated class probability value using a fitted logistic curve, each estimated class probability value indicating a probability that the packet flow on which the output score is based belongs to the traffic class associated with the binary classifier associated with the calibrator. The classifier training system configured to generate a training data based on network information gained using flow and packet sampling methods. In some embodiments, the classifier training system configured to generate reduced training data sets, one for each traffic class, reducing the training data related to traffic not associated with the traffic class.
    • 流量分类器具有多个二进制分类器,每个二进制分类器与多个校准器之一相关联。 每个校准器被训练成使用拟合的逻辑曲线将相关联的二进制分类器的输出得分转换成估计的类概率值,每个估计的类概率值指示输出得分所基于的分组流的概率属于相关联的流量类别 与校准器相关联的二进制分类器。 分类器训练系统被配置为基于使用流和分组采样方法获得的网络信息生成训练数据。 在一些实施例中,分类器训练系统被配置为生成减少的训练数据集,每个业务类别一个,减少与业务类别不相关的业务相关的训练数据。
    • 68. 发明授权
    • Method of implementing IP-based proxy server for ISCSI services
    • 为ISCSI服务实施基于IP的代理服务器的方法
    • US08359379B1
    • 2013-01-22
    • US12112745
    • 2008-04-30
    • Subhabrata Sen
    • Subhabrata Sen
    • G06F15/173G06F15/16
    • H04L67/1097G06F3/067H04L61/2514
    • A facility for impersonating a number of iSCSI initiators within a IP-based Storage Area Network (SAN) is provided. In some embodiments, the facility receives iSCSI PDUs from a plurality of iSCSI devices. Each iSCSI PDU includes a SCSI command, an IP address of the initiator from which it was received, and an indication of a target storage device to which the iSCSI PDU is addressed. The facility maps IP address of the initiator from which the iSCSI PDU was received to a globally unique IP address and sends the iSCSI PDU to the indicated target storage device. When a response to the iSCSI PDU is received, the facility maps the globally unique IP address to the IP address of the initiator from which the iSCSI PDU was received and forwards the response to the initiator. In some embodiments, the facility is transparent to the iSCSI initiators.
    • 提供了一种用于在基于IP的存储区域网络(SAN)中模拟许多iSCSI启动器的设施。 在一些实施例中,设备从多个iSCSI设备接收iSCSI PDU。 每个iSCSI PDU包括SCSI命令,从其接收到的发起者的IP地址以及iSCSI PDU所寻址到的目标存储设备的指示。 设备将接收到iSCSI PDU的启动器的IP地址映射到全局唯一的IP地址,并将iSCSI PDU发送到指定的目标存储设备。 当接收到对iSCSI PDU的响应时,设备将全局唯一IP地址映射到接收到iSCSI PDU的启动器的IP地址,并将响应转发给启动器。 在一些实施例中,该设施对于iSCSI启动器是透明的。
    • 70. 发明申请
    • SCALABLE TRAFFIC CLASSIFIER AND CLASSIFIER TRAINING SYSTEM
    • 可扩展的交通分类器和分类器培训系统
    • US20110040706A1
    • 2011-02-17
    • US12539430
    • 2009-08-11
    • Subhabrata SenNicholas DuffieldPatrick HaffnerJeffrey ErmanYu Jin
    • Subhabrata SenNicholas DuffieldPatrick HaffnerJeffrey ErmanYu Jin
    • G06F15/18G06N5/02
    • G06N99/005
    • A traffic classifier has a plurality of binary classifiers, each associated with one of a plurality of calibrators. Each calibrator trained to translate an output score of the associated binary classifier into an estimated class probability value using a fitted logistic curve, each estimated class probability value indicating a probability that the packet flow on which the output score is based belongs to the traffic class associated with the binary classifier associated with the calibrator. The classifier training system configured to generate a training data based on network information gained using flow and packet sampling methods. In some embodiments, the classifier training system configured to generate reduced training data sets, one for each traffic class, reducing the training data related to traffic not associated with the traffic class.
    • 流量分类器具有多个二进制分类器,每个二进制分类器与多个校准器之一相关联。 每个校准器被训练成使用拟合的逻辑曲线将相关联的二进制分类器的输出得分转换成估计的类概率值,每个估计的类概率值指示输出得分所基于的分组流的概率属于相关联的流量类别 与校准器相关联的二进制分类器。 分类器训练系统被配置为基于使用流和分组采样方法获得的网络信息生成训练数据。 在一些实施例中,分类器训练系统被配置为生成减少的训练数据集,每个业务类别一个,减少与业务类别不相关的业务相关的训练数据。