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1. 发明授权

US08095635B2 Managing network traffic for improved availability of network services 有权
标题翻译：管理网络流量，提高网络服务的可用性
公开(公告)号：US08095635B2
公开(公告)日：2012-01-10
申请号：US12176539
申请日：2008-07-21
申请人： Jia Wang , Zihui Ge , Hongbo Jiang , Shudong Jin , Andrew W. Moore
发明人： Jia Wang , Zihui Ge , Hongbo Jiang , Shudong Jin , Andrew W. Moore
IPC分类号： G06F13/00
CPC分类号： H04L43/026 , H04L41/142 , H04L41/16 , H04L43/022 , H04L43/045
摘要： Managing network traffic to improve availability of network services by classifying network traffic flows using flow-level statistical information and machine learning estimation, based on a measurement of at least one of relevance and goodness of network features. Also, determining a network traffic profile representing applications associated with the classified network traffic flows, and managing network traffic using the network traffic profile. The flow-level statistical information includes packet-trace information and is available from at least one of Cisco NetFlow, NetStream or cflowd records. The classification of network flows includes tagging packet-trace flow record data based on defined packet content information. The classifying of network flows can result in the identification of a plurality of clusters based on the measurement of the relevance of the network features. Also, the classification of network traffic can use a correlation-based measure to determine the goodness of the network features.
摘要翻译：基于网络特征的相关性和良好性的至少一个的测量，通过使用流量统计信息和机器学习估计来分类网络流量流来管理网络流量以提高网络服务的可用性。此外，确定表示与分类网络业务流相关联的应用的网络流量简档，以及使用网络流量简档来管理网络流量。流级统计信息包括分组跟踪信息，并且可以从Cisco NetFlow，NetStream或cflowd记录中的至少一个获得。网络流的分类包括基于定义的分组内容信息来标记分组跟踪流记录数据。网络流的分类可以基于网络特征的相关性的测量来导致多个聚类的识别。此外，网络流量的分类可以使用基于相关的度量来确定网络特征的良好性。

2. 发明申请

US20100014420A1 Lightweight Application Classification for Network Management 有权
标题翻译：网络管理轻量级应用分类
公开(公告)号：US20100014420A1
公开(公告)日：2010-01-21
申请号：US12176539
申请日：2008-07-21
申请人： Jia Wang , Zihui Ge , Hongbo Jiang , Shudong Jin , Andrew W. Moore
发明人： Jia Wang , Zihui Ge , Hongbo Jiang , Shudong Jin , Andrew W. Moore
IPC分类号： H04L12/24
CPC分类号： H04L43/026 , H04L41/142 , H04L41/16 , H04L43/022 , H04L43/045
摘要： Managing network traffic to improve availability of network services by classifying network traffic flows using flow-level statistical information and machine learning estimation, based on a measurement of at least one of relevance and goodness of network features. Also, determining a network traffic profile representing applications associated with the classified network traffic flows, and managing network traffic using the network traffic profile. The flow-level statistical information includes packet-trace information and is available from at least one of Cisco NetFlow, NetStream or cflowd records. The classification of network flows includes tagging packet-trace flow record data based on defined packet content information. The classifying of network flows can result in the identification of a plurality of clusters based on the measurement of the relevance of the network features. Also, the classification of network traffic can use a correlation-based measure to determine the goodness of the network features.
摘要翻译：基于网络特征的相关性和良好性的至少一个的测量，通过使用流量统计信息和机器学习估计来分类网络流量流来管理网络流量以改善网络服务的可用性。此外，确定表示与分类网络业务流相关联的应用的网络流量简档，以及使用网络流量简档来管理网络流量。流级统计信息包括分组跟踪信息，并且可以从Cisco NetFlow，NetStream或cflowd记录中的至少一个获得。网络流的分类包括基于定义的分组内容信息来标记分组跟踪流记录数据。网络流的分类可以基于网络特征的相关性的测量来导致多个聚类的识别。此外，网络流量的分类可以使用基于相关的度量来确定网络特征的良好性。

3. 发明申请

US20100034102A1 Measurement-Based Validation of a Simple Model for Panoramic Profiling of Subnet-Level Network Data Traffic 审中-公开
标题翻译：基于测量的验证子网级数据流量全景分析的简单模型
公开(公告)号：US20100034102A1
公开(公告)日：2010-02-11
申请号：US12186113
申请日：2008-08-05
申请人： Jia Wang , Zihui Ge , Hongbo Jiang , Shudong Jin
发明人： Jia Wang , Zihui Ge , Hongbo Jiang , Shudong Jin
IPC分类号： H04L12/26
CPC分类号： H04L43/0876 , H04L41/0213 , H04L41/0893
摘要： A system and method for profiling subnet-level aggregate network data traffic is disclosed. The system allows a user to define a collection of features that combined characterize the subnet-level aggregate traffic behavior. Preferably, the features include daily traffic volume, time-of-day behavior, spatial traffic distribution, traffic balance in flow direction, and traffic distribution in type of application. The system then applies machine learning techniques to classify the subnets into a number of clusters on each of the features, by assigning a membership probability vector to each network thus allowing panoramic traffic profiles to be created for each network on all features combined. These membership probability vectors may optionally be used to detect network anomalies, or to predict future network traffic.
摘要翻译：公开了一种用于分析子网级聚合网络数据流量的系统和方法。该系统允许用户定义组合的特征集合，以表征子网级聚合流量行为。优选地，特征包括日常交通量，时间行为，空间流量分配，流向方向上的流量平衡以及应用类型中的流量分布。然后，该系统应用机器学习技术，通过向每个网络分配成员概率向量，从而允许在组合的所有特征上为每个网络创建全景业务简档，从而将子网分类为每个特征上的多个集群。这些成员概率向量可以可选地用于检测网络异常，或者预测未来的网络流量。

4. 发明授权

US06851021B2 Methods and systems for efficiently managing persistent storage 失效
标题翻译：有效管理永久性存储的方法和系统
公开(公告)号：US06851021B2
公开(公告)日：2005-02-01
申请号：US09921820
申请日：2001-08-03
申请人： Arun Kwangil Iyengar , Shudong Jin
发明人： Arun Kwangil Iyengar , Shudong Jin
IPC分类号： G06F12/00 , G06F13/00
CPC分类号： G06F12/08 , G06F3/0601 , G06F2003/0692 , Y10S707/99953 , Y10S707/99956
摘要： A log of transactions is maintained on a persistent storage device. When a block of storage is allocated or deallocated, this transaction is recorded. If the persistent storage device is allowed to be slightly obsolete (i.e., not fully up-to-date), the log stored on the persistent storage device does not necessarily have to be updated right away. By delaying log updating until a certain number of transactions have transpired, memory seeks can be reduced, significantly improving performance. Further, directory information on the persistent storage device may be periodically updated from the log. This is preferably done infrequently enough so that the amortized cost for updating directory information is low.
摘要翻译：在永久存储设备上维护事务日志。当分配或释放存储块时，将记录此事务。如果永久存储设备被允许稍微过时（即，不完全更新），则存储在永久存储设备上的日志不一定必须立即更新。通过延迟日志更新直到一定数量的事务发生，可以减少内存搜索，显着提高性能。此外，可以从日志中周期性地更新关于永久存储设备的目录信息。优选地这样做很少，使得用于更新目录信息的摊销成本低。

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