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    • 4. 发明申请
    • METHOD AND APPARATUS FOR SECURITY-AWARE ELASTICITY OF APPLICATION AND SERVICES
    • 用于安全性应用和服务弹性的方法和装置
    • WO2013138024A1
    • 2013-09-19
    • PCT/US2013/026635
    • 2013-02-19
    • INTERNATIONAL BUSINESS MACHINES CORPORATIONKUNDU, AshishMOHINDRA, AjaySAHU, Sambit
    • KUNDU, AshishMOHINDRA, AjaySAHU, Sambit
    • G06F15/16
    • G06F21/604G06F2209/5019
    • In a method for scaling up/down security (non-functional) components of an application, determine ( a) types of interactions and a number of each type of interaction each non-security (functional) component has with security components for a plurality of requests. Determine, based on (a) and an expected number of incoming requests to the application, (b) types of requests to and interactions with the security components involving the non-security components and (c) a number of requests to and interactions with the security components involving non-security components for each type of request to the security components involving non-security components. Determine, for each security component, a capacity required for each type of request involving the non-security components and a capacity required for each type of interaction involving the non-security components. Change the capacities of the security components to new capacities, wherein the new capacities are based on (a), (c) and the determined capacities.
    • 在用于扩展/降低应用程序的安全性(非功能))组件的方法中,确定(a)每个非安全(功能)组件具有的多个交互的安全组件的交互类型和每种类型的交互的数量, 要求。 根据(a)和对应用程序的传入请求的预期数量确定(b)与涉及非安全组件的安全组件的请求类型和与其相互作用,以及(c)与 涉及非安全组件的安全组件,用于针对涉及非安全组件的安全组件的每种请求类型。 为每个安全组件确定涉及非安全组件的每种类型的请求所需的容量以及涉及非安全组件的每种类型的交互所需的容量。 将安全组件的能力改变为新能力,其中新能力基于(a),(c)和确定的能力。
    • 8. 发明申请
    • NODE CLUSTERING BASED ON USER INTERESTS, APPLICATION REQUIREMENTS AND NETWORK CHARACTERISTICS
    • 基于用户兴趣的节点聚类,应用要求和网络特性
    • WO2005055519A1
    • 2005-06-16
    • PCT/GB2004/004984
    • 2004-11-25
    • INTERNATIONAL BUSINESS MACHINES CORPORATIONIBM UNITED KINGDOM LIMITEDPOPESCU, GeorgeLIU, ZhenSAHU, Sambit
    • POPESCU, GeorgeLIU, ZhenSAHU, Sambit
    • H04L12/24
    • 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 (e.g. end-to-end delay constraints, bandwidth constraints) in providing communications between users and application servers. A multi-attribute communication feature vector is formed. That vector is comprised of network attributes (such as available bandwidth, client location attributes in the IP map), communication interests attributes (client request for content updates, client subscription to specific data items or to a set of proximal data sources in network space or application/virtual space) and quality of service requirements (such as delay and loss constraints is used to from 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/约束(例如,端到端延迟约束,带宽约束)之类的应用属性上。 形成多属性通信特征向量。 该向量包括网络属性(例如可用带宽,IP映射中的客户端位置属性),通信兴趣属性(客户端请求内容更新,客户端订阅特定数据项或网络空间中的一组近端数据源, 应用/虚拟空间)和服务质量要求(如延迟和丢失约束)用于分布式协作应用的高效群组通信机制,然后聚类多属性通信特征向量,多类型属性特征的聚类方法 向量是: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。