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    • 62. 发明授权
    • Method and apparatus to support application and network awareness of collaborative applications using multi-attribute clustering
    • 使用多属性聚类来支持协作应用程序的应用和网络意识的方法和装置
    • US07975035B2
    • 2011-07-05
    • US10725298
    • 2003-12-01
    • George V. PopescuZhen LiuSambit Sahu
    • George V. PopescuZhen LiuSambit Sahu
    • G06F15/173
    • H04L69/329H04L41/00
    • A method of clustering communication nodes based on network attributes such as network delays and forwarding capacity; on communication interest attributes; and on application attributes such as quality of service preferences/constraints in providing communications between users and application servers. A multi-attribute communication feature vector is formed. That vector is comprised of network attributes, communication interests attributes, and quality of service requirements and is used to form efficient group communication mechanisms for distributed collaborative applications. Then the multi-attribute communication feature vectors are clustered. The clustering methods for multi-type attribute feature vectors are: iterative clustering using a generalized distance space with normalized attribute subspace metrics; fusion clustering, and nested clustering.
    • 基于网络延迟和转发能力等网络属性对通信节点进行聚类的方法; 沟通兴趣属性; 以及在提供用户和应用服务器之间的通信的诸如服务质量优先/限制之类的应用属性上。 形成多属性通信特征向量。 该向量由网络属性,通信兴趣属性和服务质量要求组成,用于形成分布式协作应用的有效群组通信机制。 然后将多属性通信特征向量聚类。 多类型属性特征向量的聚类方法是:使用具有归一化属性子空间度量的广义距离空间的迭代聚类; 融合聚类和嵌套聚类。
    • 63. 发明授权
    • Method and apparatus for virtualizing network resources
    • 用于虚拟化网络资源的方法和装置
    • US07792936B2
    • 2010-09-07
    • US10726002
    • 2003-12-01
    • Zhen LiuGeorge V. PopescuSambit Sahu
    • Zhen LiuGeorge V. PopescuSambit Sahu
    • G06F15/173
    • H04L41/12H04L45/46H04L45/64
    • A method and apparatus for managing communications for collaborative applications. Middleware uses, network, application, and middleware resource information together with user information to facilitate communications between the application resources and the users via a hierarchical control structure that implements a communication overlay tree. That overlay tree is implemented in view of network constraints, and on the users and on their communication constraints. The middleware provides user index identifiers that inform the application that specific users have communication interests in specific parts of the application space. To send data to users that are interested in a specific part of the application space the application sends that data with a list of user index identifiers. The middleware then associates the user index identifiers with individual users and routes sent data to the individual users along the overlay tree.
    • 一种管理协作应用通信的方法和装置。 中间件使用,网络,应用程序和中间件资源信息以及用户信息,以通过实现通信覆盖树的分层控制结构来促进应用程序资源和用户之间的通信。 鉴于网络约束,以及用户及其通信约束,实现了该覆盖树。 中间件提供用户索引标识符,通知应用程序特定用户在应用程序空间的特定部分具有沟通兴趣。 要将数据发送给对应用空间的特定部分感兴趣的用户,应用程序使用用户索引标识符列表发送该数据。 然后,中间件将用户索引标识符与个别用户相关联,并将发送的数据沿覆盖树路由到各个用户。
    • 64. 发明授权
    • Method and apparatus for providing dynamic group management for distributed interactive applications
    • 为分布式交互式应用提供动态群组管理的方法和装置
    • US07761514B2
    • 2010-07-20
    • US10723227
    • 2003-11-26
    • George V. PopescuZhen LiuSambit Sahu
    • George V. PopescuZhen LiuSambit Sahu
    • G06F15/16G06F15/173G06F15/177H04B7/00H04L12/38
    • H04L12/1822H04L12/185
    • A method, computer readable media, and apparatus of hierarchical-based communication session and data distribution management that indexes client's communication preferences and network attribute information. Indexing is used to generate dynamic group membership lists that map into communication groups. Indexing is replicated at control nodes in the network overlay to allow distributed management of group membership. Send/receive operations are decoupled through data distribution and the indexing structure. Senders and receivers register their group communication interests to a parent node in the hierarchy. The session control structure aggregates client interest and dynamically updates replicas at control nodes which are selected according to the changes in registered client interest. The indexing structure has self-managing properties for automatic clustering based on client session and data interests, and dynamic partitioning of the session/data interest attribute space. Group membership is managed by querying the indexed session/data distribution management structure and mapping output to communication groups.
    • 一种方法,计算机可读介质和基于层次的通信会话和数据分发管理的装置,其对客户端的通信偏好和网络属性信息进行索引。 索引用于生成映射到通信组的动态组成员资格列表。 索引在网络覆盖中的控制节点上复制,以允许分组管理组成员资格。 发送/接收操作通过数据分发和索引结构进行解耦。 发件人和接收者将他们的组通信兴趣注册到层次结构中的父节点。 会话控制结构聚合客户端兴趣并动态地更新根据注册客户端兴趣的变化选择的控制节点处的副本。 索引结构具有基于客户端会话和数据兴趣的自动聚类的自管理属性,以及会话/数据兴趣属性空间的动态分区。 通过查询索引的会话/数据分发管理结构并将输出映射到通信组来管理组成员资格。
    • 65. 发明申请
    • METHOD AND APPARATUS TO SUPPORT APPLICATION AND NETWORK AWARENESS OF COLLABORATIVE APPLICATIONS USING MULTI-ATTRIBUTE CLUSTERING
    • 使用多属性聚类来支持协同应用的应用和网络意识的方法和设备
    • US20090292802A1
    • 2009-11-26
    • US12535436
    • 2009-08-04
    • George V. PopescuZhen LiuSambit Sahu
    • George V. PopescuZhen LiuSambit Sahu
    • G06F15/16
    • H04L69/329H04L41/00
    • A method of clustering communication nodes based on network attributes such as network delays and forwarding capacity; on communication interest attributes; and on application attributes such as quality of service preferences/constraints in providing communications between users and application servers. A multi-attribute communication feature vector is formed. That vector is comprised of network attributes, communication interests attributes, and quality of service requirements and is used to form efficient group communication mechanisms for distributed collaborative applications. Then the multi-attribute communication feature vectors are clustered. The clustering methods for multi-type attribute feature vectors are: iterative clustering using a generalized distance space with normalized attribute subspace metrics; fusion clustering, and nested clustering.
    • 基于网络延迟和转发能力等网络属性对通信节点进行聚类的方法; 沟通兴趣属性; 以及在提供用户和应用服务器之间的通信的诸如服务质量优先/限制之类的应用属性上。 形成多属性通信特征向量。 该向量由网络属性,通信兴趣属性和服务质量要求组成,用于形成分布式协作应用的有效群组通信机制。 然后将多属性通信特征向量聚类。 多类型属性特征向量的聚类方法是:使用具有归一化属性子空间度量的广义距离空间的迭代聚类; 融合聚类和嵌套聚类。