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    • 1. 发明申请
    • Accessing Hardware Devices Using Web Server Abstractions
    • 使用Web服务器抽象访问硬件设备
    • US20130060905A1
    • 2013-03-07
    • US13224337
    • 2011-09-02
    • James MickensDavid ChuLi ZhuangKaisen Lin
    • James MickensDavid ChuLi ZhuangKaisen Lin
    • G06F15/16
    • H04L67/025H04L63/08H04L63/20H04L69/08
    • In the new architecture, a client that desires access to a piece of hardware sends HTTP requests to a device server. The server receives a HTTP requests, accesses a device on behalf of the client, and send the device's response back to the client in the form of an HTTP response. This architecture has three primary advantages. First, it offers a clean interface for clients where all devices are accessed as if they are web servers. Second, it helps make devices more secure whereby clients can be prevented from accessing hardware directly, and all device access is forced through the narrow HTTP access protocol and checked for compliance with a desired security policy. Third, since HTTP allows local and remote servers to be contacted, the proposed architecture makes it easy for clients to communicate with devices that are not physically co-resident with the client but which are accessible via a network connection.
    • 在新架构中,希望访问硬件的客户端向设备服务器发送HTTP请求。 服务器接收HTTP请求,代表客户端访问设备,并以HTTP响应的形式将设备的响应发送回客户端。 这种架构有三个主要优点。 首先,它为所有设备的访问提供了一个干净的界面,就像它们是Web服务器一样。 第二,它有助于使设备更安全,从而可以防止客户端直接访问硬件,并且强制所有设备访问通过窄HTTP访问协议,并检查是否符合所需的安全策略。 第三,由于HTTP允许联系本地和远程服务器,因此所提出的架构使客户端能够轻松地与不与客户端物理共驻的设备进行通信,但可通过网络连接进行访问。
    • 4. 发明申请
    • MANAGEMENT OF DATA AND COMPUTATION IN DATA CENTERS
    • 数据中心的数据管理和计算
    • US20110072006A1
    • 2011-03-24
    • US12562156
    • 2009-09-18
    • Yuan YuPradeep Kumar GundaLi Zhuang
    • Yuan YuPradeep Kumar GundaLi Zhuang
    • G06F17/30
    • G06F17/30545G06F17/30451
    • Data and computation may be unified (i.e., integrated) in a data center using a single query interface. Users may interact with the data center via a query interface to provide a query (i.e., a computation) to the data center. The results of the query may be referred to as derived datasets and may be managed by a cache server. In an implementation, a derived dataset is uniquely referenced by the query that computes it. Shared common computations are computed only once and may be reused by other computations. The result of a query may be computed (if not previously cached) and returned to the user. Infrequently used derived datasets may be garbage collected (e.g., deleted or otherwise removed from storage) by a garbage collector. This integration of data and computation provides efficient resource management for data center.
    • 数据和计算可以使用单个查询接口统一(即集成)在数据中心中。 用户可以经由查询界面与数据中心进行交互,以向数据中心提供查询(即计算)。 查询的结果可以被称为派生数据集,并且可以由缓存服务器管理。 在一个实现中,派生数据集由计算它的查询唯一引用。 共享公共计算仅计算一次,并可能被其他计算重用。 可以计算查询的结果(如果不是先前缓存)并返回给用户。 不经常使用的派生数据集可能被垃圾收集器垃圾收集(例如,删除或以其他方式从存储中移除)。 这种数据和计算的集成为数据中心提供了有效的资源管理。
    • 6. 发明授权
    • Management of data and computation in data centers
    • 数据中心的数据和计算管理
    • US08392403B2
    • 2013-03-05
    • US12562156
    • 2009-09-18
    • Yuan YuPradeep Kumar GundaLi Zhuang
    • Yuan YuPradeep Kumar GundaLi Zhuang
    • G06F7/00G06F17/30
    • G06F17/30545G06F17/30451
    • Data and computation may be unified (i.e., integrated) in a data center using a single query interface. Users may interact with the data center via a query interface to provide a query (i.e., a computation) to the data center. The results of the query may be referred to as derived datasets and may be managed by a cache server. In an implementation, a derived dataset is uniquely referenced by the query that computes it. Shared common computations are computed only once and may be reused by other computations. The result of a query may be computed (if not previously cached) and returned to the user. Infrequently used derived datasets may be garbage collected (e.g., deleted or otherwise removed from storage) by a garbage collector. This integration of data and computation provides efficient resource management for data center.
    • 数据和计算可以使用单个查询接口统一(即集成)在数据中心中。 用户可以经由查询界面与数据中心进行交互,以向数据中心提供查询(即计算)。 查询的结果可以被称为派生数据集,并且可以由缓存服务器管理。 在一个实现中,派生数据集由计算它的查询唯一引用。 共享公共计算仅计算一次,并可能被其他计算重用。 可以计算查询的结果(如果不是先前缓存)并返回给用户。 不经常使用的派生数据集可能被垃圾收集器垃圾收集(例如,删除或以其他方式从存储中移除)。 这种数据和计算的集成为数据中心提供了有效的资源管理。
    • 9. 发明授权
    • Platform for continuous mobile-cloud services
    • 连续移动云服务平台
    • US08745434B2
    • 2014-06-03
    • US13108690
    • 2011-05-16
    • Fan YangZhengping QianXiuwei ChenIvan BeschastnikhLi ZhuangLidong ZhouGuobin Shen
    • Fan YangZhengping QianXiuwei ChenIvan BeschastnikhLi ZhuangLidong ZhouGuobin Shen
    • G06F11/00
    • G06F9/5072G06F11/1438G06F11/1482
    • Data that is collected and disseminated by mobile devices typically has to be processed, correlated with other data, aggregated, and then transmitted back to the mobile device users before the information becomes stale or otherwise irrelevant. These operations may be performed in a cloud-based solution that manages dataflow. The cloud-based solutions may be scalable and implemented in a fault-tolerant distributed system to support user-facing continuous sensing and processing services in the cloud-computing system. A system may monitor execution of data and shift workloads (i.e., balancing) in response to spatial and temporal load imbalances that occur in a continuous computing environment. A failure recovery protocol may be implemented that uses a checkpoint-based partial rollback recovery mechanism with selective re-execution, which may allow recovery of the continuous processing after an error while avoiding large amounts of downtime and re-execution.
    • 由移动设备收集和传播的数据通常必须被处理,与其他数据相关,聚合,然后在信息变得陈旧或不相关之前被传送回移动设备用户。 这些操作可以在管理数据流的基于云的解决方案中执行。 基于云的解决方案可以在容错分布式系统中进行扩展和实现,以支持云计算系统中面向用户的连续感测和处理服务。 系统可以响应于在连续计算环境中发生的空间和时间负载不平衡来监视数据的执行和移动工作负载(即平衡)。 可以实现使用具有选择性重新执行的基于检查点的部分回滚恢复机制的故障恢复协议,这可以允许在错误之后恢复连续处理,同时避免大量的停机和重新执行。
    • 10. 发明申请
    • Platform for Continuous Mobile-Cloud Services
    • 持续移动云服务平台
    • US20120297249A1
    • 2012-11-22
    • US13108690
    • 2011-05-16
    • Fan YangZhengping QianXiuwei ChenIvan BeschastnikhLi ZhuangLidong ZhouGuobin Shen
    • Fan YangZhengping QianXiuwei ChenIvan BeschastnikhLi ZhuangLidong ZhouGuobin Shen
    • G06F11/14G06F15/173
    • G06F9/5072G06F11/1438G06F11/1482
    • Data that is collected and disseminated by mobile devices typically has to be processed, correlated with other data, aggregated, and then transmitted back to the mobile device users before the information becomes stale or otherwise irrelevant. These operations may be performed in a cloud-based solution that manages dataflow. The cloud-based solutions may be scalable and implemented in a fault-tolerant distributed system to support user-facing continuous sensing and processing services in the cloud-computing system. A system may monitor execution of data and shift workloads (i.e., balancing) in response to spatial and temporal load imbalances that occur in a continuous computing environment. A failure recovery protocol may be implemented that uses a checkpoint-based partial rollback recovery mechanism with selective re-execution, which may allow recovery of the continuous processing after an error while avoiding large amounts of downtime and re-execution.
    • 由移动设备收集和传播的数据通常必须被处理,与其他数据相关,聚合,然后在信息变得陈旧或不相关之前被传送回移动设备用户。 这些操作可以在管理数据流的基于云的解决方案中执行。 基于云的解决方案可以在容错分布式系统中进行扩展和实现,以支持云计算系统中面向用户的连续感测和处理服务。 系统可以响应于在连续计算环境中发生的空间和时间负载不平衡来监视数据的执行和移动工作负载(即平衡)。 可以实现使用具有选择性重新执行的基于检查点的部分回滚恢复机制的故障恢复协议,这可以允许在错误之后恢复连续处理,同时避免大量的停机和重新执行。