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1. 发明申请

US20050063313A1 Optimal clustering of master-slave ad-hoc wireless network 审中-公开
标题翻译：主从Ad-hoc无线网络的最优聚类
公开(公告)号：US20050063313A1
公开(公告)日：2005-03-24
申请号：US09898162
申请日：2001-07-03
申请人： Amit Nanavati , Kannan Balaji , Sanjiv Kapoor
发明人： Amit Nanavati , Kannan Balaji , Sanjiv Kapoor
IPC分类号： H04L12/28 , H04L12/56
CPC分类号： H04W92/02 , H04W84/18
摘要： The present invention relates to a system and method for optimal clustering of master-slave ad-hoc wireless network for minimizing the number of masters and thereby the number of communication hops. It comprises assigning master or slave status to each node and connecting slave nodes to master nodes to form subgroups based on defined optimization parameters and the constraints and characteristics of the network. After that said subgroups are interconnected to form a single cluster either by connecting a slave node at the boundary of one subgroup to the master of an adjacent subgroup where possible, or by connecting two adjacent master nodes together or by converting a slave node at the boundary to a master and linking it to the slave nodes or master nodes in the adjacent subgroups.
摘要翻译：本发明涉及一种用于最大限度地减少主机数量，从而最小化通信跳数的主从自组织无线网络的最优聚类的系统和方法。它包括将主节点或从属节点分配给每个节点，并将从节点连接到主节点，以根据定义的优化参数以及网络的约束和特征形成子组。之后，所述子组通过将一个子组的边界处的从节点连接到可能的相邻子组的主节点，或者通过将两个相邻的主节点连接在一起或通过在边界处转换从节点来互连以形成单个集群并将其链接到相邻子组中的从节点或主节点。

2. 发明授权

US06877035B2 System for optimal resource allocation and planning for hosting computing services 有权
标题翻译：用于托管计算服务的最佳资源分配和规划系统
公开(公告)号：US06877035B2
公开(公告)日：2005-04-05
申请号：US09772246
申请日：2001-01-29
申请人： Johara Shireen Shahabuddin , Kannan Balaji , Sanjiv Kapoor , Sandeep Juneja , Vishu Gupta , Abhay Chrungoo
发明人： Johara Shireen Shahabuddin , Kannan Balaji , Sanjiv Kapoor , Sandeep Juneja , Vishu Gupta , Abhay Chrungoo
IPC分类号： G06F15/177 , G06F9/46 , G06F15/00 , G06F15/16 , G06Q10/06 , H04L29/06 , H04L29/08 , G06F15/173
CPC分类号： H04L67/20 , G06Q10/06 , H04L29/06 , H04L67/10 , H04L67/1002 , H04L67/1008 , H04L69/329 , H04L2029/06054
摘要： A method, apparatus, computer program product, and decision support system and for allocating hosting-service resources to clients in at least one shared server. The method comprises discovering utilization patterns of the clients; monitoring the clients to discover the utilization patterns; providing bounds specifying minimum and maximum hosting-service resources for each of the clients; modeling dimensions for client user measures and the utilization patterns; and allocating the resources to the clients dependent on the utilization patterns. The step of allocating is also dependent upon the bounds. The method further includes packing the clients using stochastic vectors, wherein the packing step utilizes at least one of a Roof Avoidance process, a Minimized Variance process, a Maximized Minima process, and a Largest Combination process, and wherein the hosting-service resources relate to at least one hosting comprising one of collaborative hosting services, commerce hosting services, and e-business hosting services.
摘要翻译：一种方法，装置，计算机程序产品和决策支持系统，并且用于将托管服务资源分配给至少一个共享服务器中的客户机。该方法包括发现客户端的利用模式; 监控客户端发现利用模式; 提供为每个客户端指定最小和最大主机服务资源的边界; 客户用户测量的建模维度和利用率模式; 并根据使用模式将资源分配给客户端。分配的步骤也取决于边界。该方法还包括使用随机向量打包客户端，其中打包步骤利用屋顶避免过程，最小化方差过程，最大化最小化进程和最大组合过程中的至少一个，并且其中主机服务资源涉及至少一个托管包括协作托管服务，商业托管服务和电子商务托管服务之一。

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