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    • 46. 发明申请
    • CHANNEL-BASED RUNTIME ENGINE FOR STREAM PROCESSING
    • 用于流程处理的基于通道的运行型发动机
    • US20100318768A1
    • 2010-12-16
    • US12485592
    • 2009-06-16
    • Eric BouilletHanhua FengZhen LiuAnton V. Riabov
    • Eric BouilletHanhua FengZhen LiuAnton V. Riabov
    • G06F9/40G06F9/30
    • G06Q10/06G06F9/4494
    • An apparatus, including a memory device for storing a program, and a processor in communication with the memory device, the processor operative with the program to facilitate design of a stream processing flow that satisfies an objective, wherein the stream processing flow includes at least three processing groups, wherein a first processing group includes a data source and an operator, a second processing group includes a data source and an operator and a third processing group includes a join operator at its input and another operator, wherein data inside each group is organized by channels and each channel is a sequence of data, wherein an operator producing a data channel does not generate new data for the channel until old data of the channel is received by all other operators in the same group, and wherein data that flows from the first and second groups to the third group is done asynchronously and is stored in a queue if not ready for processing by an operator of the third group, and deploy the stream processing flow in a concurrent computing system to produce an output.
    • 一种装置,包括用于存储程序的存储装置和与存储装置通信的处理器,所述处理器与程序一起操作以便于满足目标的流处理流程的设计,其中流处理流程包括至少三个 处理组,其中第一处理组包括数据源和操作者,第二处理组包括数据源和操作者,第三处理组在其输入处包括加入运算符和另一运算符,其中组内每个组内的数据被组织 每个信道是一个数据序列,其中产生数据信道的运算符不产生信道的新数据,直到信道的旧数据被同一组中的所有其他运算符接收,并且其中从 第一组和第二组到第三组是异步完成的,如果没有准备好进行处理,则由第三组的运算符存储在队列中 p并且在并发计算系统中部署流处理流以产生输出。
    • 49. 发明授权
    • Methods and apparatus for cost minimization of multi-tiered infrastructure with end-to-end delay guarantees
    • 使用端到端延迟保证的多层基础设施成本最小化的方法和设备
    • US07626917B2
    • 2009-12-01
    • US10865064
    • 2004-06-10
    • Wuqin LinZhen LiuCathy Honghui XiaLi Zhang
    • Wuqin LinZhen LiuCathy Honghui XiaLi Zhang
    • H04J11/00G06F9/44G06F9/45
    • G06F9/50G06F9/5061
    • Techniques are provided for determining a capacity allocation in a multi-tiered computing system. In one aspect of the invention, a technique for designing capacity allocation for a multi-tiered computing system, each tier of the computing system having one or more computing devices (e.g., servers), comprises the following steps/operations. Input parameters relating to capacity allocation are obtained. A capacity allocation is computed based on at least a portion of the input parameters, the capacity allocation being computable such that one or more end-to-end performance measures are substantially satisfied for multiple service classes. The capacity allocation computation may minimize a cost function. The capacity allocation computation may also satisfy one or more mean delay guarantees for the multiple service classes, one or more tail distribution guarantees for the multiple service classes, or both one or more mean delay guarantees and one or more tail distribution guarantees for the multiple service classes.
    • 提供了用于确定多层计算系统中的容量分配的技术。 在本发明的一个方面,一种用于设计多层计算系统的容量分配的技术,具有一个或多个计算设备(例如,服务器)的计算系统的每个层包括以下步骤/操作。 获得与容量分配有关的输入参数。 基于输入参数的至少一部分来计算容量分配,所述容量分配是可计算的,使得对于多个服务类基本上满足一个或多个端到端性能测量。 容量分配计算可以最小化成本函数。 容量分配计算还可以满足多个服务类别的一个或多个平均延迟保证,多个服务类别的一个或多个尾部分配保证,或一个或多个平均延迟保证以及用于多个服务的一个或多个尾部分配保证 课程