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    • 2. 发明申请
    • Multilevel Multipath Widely Distributed Computational Node Scenarios
    • 多层次多径广泛分布式计算节点情景
    • US20120209901A1
    • 2012-08-16
    • US13026218
    • 2011-02-12
    • Mingqiang XuJun SuGregory M. BurgessTianchi MaSalim AlamRich Ciapala
    • Mingqiang XuJun SuGregory M. BurgessTianchi MaSalim AlamRich Ciapala
    • G06F15/16
    • H04L47/70G06F9/505G06F2209/5015H04L67/1097H04L67/28H04L67/32
    • An application combines on-site and cloud-based calculations. The application selects a cloud computing broker from a list sorted by load. The broker receives computation requests from the application, sends corresponding load-balanced requests to local application service hosts and cloud proxies, receives responses, and sends the responses to the application without identifying the response source as local versus non-local. Each proxy has a logical-physical mapping of cloud-resident worker nodes. A scheduler receives session requests from applications, allocates local and cloud computing resources to a session, and tracks resource usage by session. An application previously run only on-premises can be executed partially on cloud worker nodes without modification. The proxy re-routes unfulfilled requests from a failed worker, undetected by the broker. If all workers assigned to that proxy fail, then the broker reassigns unfulfilled requests to another proxy, undetected by the application.
    • 应用程序结合了现场和基于云的计算。 应用程序从按负载排序的列表中选择一个云计算代理。 经纪人从应用程序接收计算请求,向本地应用服务主机和云代理发送相应的负载平衡请求,接收响应,并将响应发送到应用程序,而不将响应源标识为本地与非本地。 每个代理具有云驻留工作者节点的逻辑物理映射。 调度程序从应用程序接收会话请求,将本地和云计算资源分配给会话,并按会话跟踪资源使用情况。 以前仅在内部运行的应用程序可以部分地在云工作者节点上执行,而无需修改。 该代理将重新路由一个失败的工作的未实现的请求,不被代理检测。 如果分配给该代理的所有工作都失败,则代理将未实现的请求重新分配给另一个代理,不会被应用程序检测到。
    • 4. 发明授权
    • Transparently externalizing plug-in computation to cluster
    • 透明地将插件计算外部化到集群
    • US07908375B2
    • 2011-03-15
    • US11776229
    • 2007-07-11
    • Tianchi MaJun SuMingqiang XuYun Jin
    • Tianchi MaJun SuMingqiang XuYun Jin
    • G06F15/173
    • G06F9/5072G06F9/5055G06F9/541
    • External processing of a request directed to an external software program from an invocation source to a cluster of computing devices. A wrapper tool is provided for processing the request from the invocation source. The request includes operations to be performed by the external software program on the host computer. The wrapper tool intercepted the request and extracts information included in the intercepted request. The extracted information is transmitted to a cluster scheduler. The cluster scheduler identifies a set of computing devices in the cluster of computing devices for processing the request. The identified set of computing devices processes the intercepted request as a function of the intercepted request, the information and the invocation source. A result is provided in response to the processed request from the identified set of computing devices to the invocation source.
    • 将外部软件程序的请求从调用源外部处理到计算设备的集群。 提供了一个包装工具来处理来自调用源的请求。 该请求包括由主机计算机上的外部软件程序执行的操作。 包装工具拦截了请求,并提取了被截获的请求中包含的信息。 提取的信息被发送到群集调度器。 集群调度器识别用于处理请求的计算设备的集群中的一组计算设备。 所识别的计算设备集合根据截获的请求,信息和调用源来处理截获的请求。 响应于从识别的计算设备组到调用源的处理的请求而提供结果。
    • 6. 发明授权
    • Smart data staging based on scheduling policy
    • 基于调度策略的智能数据分段
    • US08954529B2
    • 2015-02-10
    • US13606268
    • 2012-09-07
    • MingQiang XuColin WatsonJun SuYiding Zhou
    • MingQiang XuColin WatsonJun SuYiding Zhou
    • G06F15/16
    • G06F9/4881G06F9/4818G06F9/4856
    • Moving data to a remote system and performing computations at the remote system. A method includes receiving from one or more users a plurality jobs. The one or more jobs specify both data to be operated on and the operations to be performed on the data at the remote system. At a data service, one of the jobs to upload to the remote system in priority over other jobs in the plurality of jobs is selected. The method further includes beginning to upload the prioritized job including staging data from the job. At the remote system, once a portion of the data has been received, a service in the remote system begins to perform the specified operation on the data for the prioritized job. Beginning to perform the specified operation is performed prior to all of the data from the prioritized job being uploaded to the remote system.
    • 将数据移动到远程系统并在远程系统上执行计算。 一种方法包括从一个或多个用户接收多个作业。 一个或多个作业指定要在其上操作的数据和要在远程系统上对数据执行的操作。 在数据服务中,选择在多个作业中优先于其他作业上传到远程系统的作业之一。 该方法还包括开始上传优先工作,包括来自作业的分期数据。 在远程系统中,一旦接收到一部分数据,则远程系统中的服务开始对优先作业的数据执行指定的操作。 在优先排序的作业上传到远程系统的所有数据之前执行开始执行指定的操作。
    • 9. 发明申请
    • TRANSPARENTLY EXTERNALIZING PLUG-IN COMPUTATION TO CLUSTER
    • 透明地插拔计算到集群
    • US20090019159A1
    • 2009-01-15
    • US11776229
    • 2007-07-11
    • Tianchi MaJun SuMingqiang XuYun Jin
    • Tianchi MaJun SuMingqiang XuYun Jin
    • G06F15/16
    • G06F9/5072G06F9/5055G06F9/541
    • External processing of a request directed to an external software program from an invocation source to a cluster of computing devices. A wrapper tool is provided for processing the request from the invocation source. The request includes operations to be performed by the external software program on the host computer. The wrapper tool intercepted the request and extracts information included in the intercepted request. The extracted information is transmitted to a cluster scheduler. The cluster scheduler identifies a set of computing devices in the cluster of computing devices for processing the request. The identified set of computing devices processes the intercepted request as a function of the intercepted request, the information and the invocation source. A result is provided in response to the processed request from the identified set of computing devices to the invocation source.
    • 将外部软件程序的请求从调用源外部处理到计算设备的集群。 提供了一个包装工具来处理来自调用源的请求。 该请求包括由主机计算机上的外部软件程序执行的操作。 包装工具拦截了请求,并提取了被截获的请求中包含的信息。 提取的信息被发送到群集调度器。 集群调度器识别用于处理请求的计算设备的集群中的一组计算设备。 所识别的计算设备集合根据截获的请求,信息和调用源来处理截获的请求。 响应于从识别的计算设备组到调用源的处理的请求而提供结果。