会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 92. 发明授权
    • Methods and systems for managing device bandwidth usage
    • 用于管理设备带宽使用的方法和系统
    • US09167480B2
    • 2015-10-20
    • US13109266
    • 2011-05-17
    • Jeffrey ErmanSubhabrata Sen
    • Jeffrey ErmanSubhabrata Sen
    • H04W24/00H04W28/20H04W8/18
    • H04W28/20H04W8/18
    • Systems and methods for controlling a wireless device by a user based on bandwidth used when the device is connected to a network are disclosed. The bandwidth used by a process when the wireless device is connected to a network is determined. Information associating the value of the bandwidth used by the process when connected to the network, with at least one characteristic of the network is provided. A bandwidth management profile that identifies what process is allowed to be executed on each network is generated. The bandwidth management profile is used to determine whether the process should be executed on the network.
    • 公开了一种用户根据设备连接到网络所使用的带宽来控制无线设备的系统和方法。 当无线设备连接到网络时,由进程使用的带宽被确定。 提供了连接到网络时由进程使用的带宽的值与网络的至少一个特性相关联的信息。 生成一个带宽管理配置文件,用于标识允许在每个网络上执行哪些进程。 带宽管理配置文件用于确定该进程是否应在网络上执行。
    • 100. 发明申请
    • Method and apparatus for sketch-based detection of changes in network traffic
    • 用于基于草图检测网络流量变化的方法和装置
    • US20050039086A1
    • 2005-02-17
    • US10867265
    • 2004-06-14
    • Balachander KrishnamurthySubhabrata SenYin ZhangYan Chen
    • Balachander KrishnamurthySubhabrata SenYin ZhangYan Chen
    • G06F13/00H04L12/24H04L12/26H04L12/56H04L29/06H02H3/05
    • H04L41/142H04L41/147H04L63/1408H04L63/1441
    • A sketch-based change detection technique is introduced for anomaly detection and other applications that can benefit from having a quick and efficient change detection mechanism. The technique is capable of detecting significant changes in massive data streams with a large number of network time series. As part of the technique, we designed a variant of the sketch data structure, called k-ary sketch, uses a constant, small amount of memory, and has constant per-record update and reconstruction cost. A variety of time series forecast models are implemented on top of such summaries and detect significant changes by looking for flows with large forecast errors. Heuristics for automatically configuring the forecast model parameters are presented. Real Internet traffic data is used to demonstrate that the sketch-based change detection method is highly accurate when compared with per-flow analysis, and can be implemented at low computation and memory costs. The results validate using the technique as a building block for network anomaly detection and traffic measurement in large computer networks.
    • 引入了一种基于草图的变更检测技术,用于异常检测和其他可以从快速有效的变化检测机制中受益的应用。 该技术能够通过大量网络时间序列来检测海量数据流的重大变化。 作为技术的一部分,我们设计了草图数据结构的一个变体,称为k-ary素描,使用常量,少量的内存,并具有不断的每记录更新和重建成本。 在这些总结之上还实施了各种时间序列预测模型,并通过查找具有较大预测误差的流量来检测重大变化。 介绍了自动配置预测模型参数的启发式。 实时互联网流量数据用于表明基于草图的变更检测方法与流量分析相比是高度准确的,可以以低计算和内存成本实现。 结果验证了该技术作为大型计算机网络中网络异常检测和流量测量的基础。