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1. 发明授权

US09058428B1 Software testing using shadow requests 有权
标题翻译：软件测试使用影子请求
公开(公告)号：US09058428B1
公开(公告)日：2015-06-16
申请号：US13445562
申请日：2012-04-12
申请人： Muhammad Ali Siddiqui , Peter V. Commons , Ivan Eduardo Gonzalez , Amos Dylan Vance , Kendra A. Yourtee , Thomas L. Keller
发明人： Muhammad Ali Siddiqui , Peter V. Commons , Ivan Eduardo Gonzalez , Amos Dylan Vance , Kendra A. Yourtee , Thomas L. Keller
IPC分类号： G06F9/44 , G06F11/36
CPC分类号： G06F11/368 , G06F8/71 , G06F11/3006 , G06F11/3433 , G06F11/3452 , G06F11/3688
摘要： The techniques described herein provide software testing that may concurrently process a user request using a live version of software and a shadow request, which is based on the user request, using a shadow version of software (e.g., trial or test version, etc.). The live version of software, unlike the shadow version, is user-facing and transmits data back to the users while the shadow request does not output to the users. An allocation module may vary allocation of the shadow requests to enable a ramp up of allocations (or possibly ramp down) of the shadow version of software. The allocation module may use allocation rules to dynamically initiate the shadow request based on various factors such as load balancing, user attributes, and/or other rules or logic. Thus, not all user requests may be issued as shadow requests.
摘要翻译：本文描述的技术提供软件测试，其可以使用软件的影子版本（例如，试用版或测试版等）使用基于用户请求的软件的实时版本和影像请求来同时处理用户请求，。与阴影版本不同，软件的实时版本是面向用户的，并且在影子请求不输出到用户的同时将数据发送回用户。分配模块可以改变影子请求的分配，以使得软件的影子版本的分配（或可能降低）的斜坡上升。分配模块可以使用分配规则来基于诸如负载平衡，用户属性和/或其他规则或逻辑的各种因素动态地发起影子请求。因此，并不是所有用户请求都可以作为影子请求发出。

2. 发明授权

US09015536B1 Integration based anomaly detection service 有权
标题翻译：基于集成的异常检测服务
公开(公告)号：US09015536B1
公开(公告)日：2015-04-21
申请号：US13222850
申请日：2011-08-31
申请人： Mathias G. Ricken , Arthur Carré , Miles C. Kaufmann , Aaron T. Olds , Muhammad Ali Siddiqui , Sanjeev K. Verma , Kendra A. Yourtee
发明人： Mathias G. Ricken , Arthur Carré , Miles C. Kaufmann , Aaron T. Olds , Muhammad Ali Siddiqui , Sanjeev K. Verma , Kendra A. Yourtee
IPC分类号： G09F11/00 , G06F19/00
CPC分类号： G06F11/0754 , G06F11/0709 , G06F11/0769 , G06F11/0772 , G06F11/079 , G06F11/3006 , G06F11/3065 , G06F11/3409 , G06F11/3433 , G06F11/3452 , G06F11/3495 , G06F19/00 , G06F2201/81 , H04L43/045
摘要： Systems and methods are provided for analyzing operating metrics of monitored metric sources. Aspects of the present disclosure may present for display information associated with the monitored metric source and the analysis of its operating metrics. Analysis comprises determination of reference values and tolerance levels which represent allowable deviations from the reference values. Input data includes a measurement of an operating parameter and a time stamp. Input data may be saved to a data store for using in future analysis of other input data. When input data is determined to be outside the tolerance level, notifications may be issued to alert administrators or systems of the anomaly.
摘要翻译：提供了系统和方法，用于分析监控的度量源的运行度量。本公开的方面可以呈现用于与所监视的度量标准源相关联的显示信息以及其操作度量的分析。分析包括确定参考值和公差水平，其表示与参考值的允许偏差。输入数据包括测量操作参数和时间戳。输入数据可以保存到数据存储器中，以便将来分析其他输入数据。当确定输入数据超出容限级别时，可能会发出通知以警告管理员或系统的异常。

3. 发明授权

US08856797B1 Reactive auto-scaling of capacity 有权
标题翻译：无功自动缩放容量
公开(公告)号：US08856797B1
公开(公告)日：2014-10-07
申请号：US13253842
申请日：2011-10-05
申请人： Muhammad Ali Siddiqui , Kendra A. Yourtee , Gregory Suhyun Kang , Alexander S. Borst , Sanjeev K. Verma , Josh M. Goodspeed , Thomas L. Keller
发明人： Muhammad Ali Siddiqui , Kendra A. Yourtee , Gregory Suhyun Kang , Alexander S. Borst , Sanjeev K. Verma , Josh M. Goodspeed , Thomas L. Keller
IPC分类号： G06F9/46
CPC分类号： H04L41/0896 , G06F9/46 , G06F9/5027 , G06F9/5061 , G06F9/5077 , G06F2209/5019 , G06F2209/508 , H04L43/0894 , H04L67/10 , H04L67/16
摘要： Examples of systems and methods are described for managing computing capacity by a provider of computing resources. The computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. Multiple user programs can consume a single computing resource, and a single user program can consume multiple computing resources. Changes in usage and other environmental factors can require scaling of the computing resources to reduce or prevent a negative impact on performance. In some implementations, a fuzzy logic engine can be used to determine the appropriate adjustments to make to the computing resources associated with a program in order to keep a system metric within a desired operating range.
摘要翻译：描述了用于由计算资源的提供者管理计算能力的系统和方法的示例。计算资源可以包括程序执行能力，数据存储或管理能力，网络带宽等。多个用户程序可以消耗单个计算资源，单个用户程序可以消耗多个计算资源。使用和其他环境因素的变化可能需要扩展计算资源，以减少或防止对性能的负面影响。在一些实现中，可以使用模糊逻辑引擎来确定对与程序相关联的计算资源进行适当的调整，以便将系统度量保持在期望的操作范围内。

4. 发明授权

US5905871A Method of multicasting 失效
标题翻译：多播方法
公开(公告)号：US5905871A
公开(公告)日：1999-05-18
申请号：US722447
申请日：1996-10-10
申请人： Richard Wayne Buskens , Sanjoy Paul , Muhammad Ali Siddiqui
发明人： Richard Wayne Buskens , Sanjoy Paul , Muhammad Ali Siddiqui
IPC分类号： H04L12/18 , H04L12/56 , G06F15/16
CPC分类号： H04L47/263 , H04L12/185 , H04L12/1868 , H04L47/10 , H04L47/15 , H04L47/27
摘要： A multicasting method transmits data segments, including one or more data packets, over an established global multicast tree from a Sender S to a dynamically changing set of receivers, including at least one unknown Receiver R. In response to a data segment transmission, the Sender S receives a first status signal from the at least one unknown Receiver R (and/or any known Designated Receivers DRs) indicating the addition of and packet reception status of the unknown Receiver R (and/or any known Designated Receivers DRs) which has joined the multicast. In response to the status signals, the Sender S retransmits to the unknown Receiver R (and/or any known Designated Receivers DRs) those packets not received thereat. In this manner the unknown Receiver R (and/or any known Designated Receivers DRs) is added to the multicast session and retransmissions thereto are handled in the same manner as other receivers connected to the multicast session.
摘要翻译：多播方法通过已建立的全局多播树从发送方S向包括至少一个未知接收机R的动态变化的接收机组发送包括一个或多个数据分组的数据段。响应于数据段传输，发送方 S从至少一个未知接收机R（和/或任何已知的指定接收机DR）接收到指示未连接的未知接收机R（和/或任何已知的指定接收机DR）的添加和分组接收状态的第一状态信号组播。响应于状态信号，发送方S向未在其接收的那些分组重传到未知接收机R（和/或任何已知的指定接收机DR）。以这种方式，未知接收机R（和/或任何已知的指定接收机DR）被添加到多播会话中，并且以与连接到多播会话的其他接收机相同的方式处理其重传。

5. 发明授权

US08850263B1 Streaming and sampling in real-time log analysis 有权
标题翻译：流和采样实时日志分析
公开(公告)号：US08850263B1
公开(公告)日：2014-09-30
申请号：US13619344
申请日：2012-09-14
申请人： Kendra A. Yourtee , Amos Dylan Vance , Muhammad Ali Siddiqui , Alexander S. Borst , Miles C. Kaufmann
发明人： Kendra A. Yourtee , Amos Dylan Vance , Muhammad Ali Siddiqui , Alexander S. Borst , Miles C. Kaufmann
IPC分类号： G06F11/00
CPC分类号： G06F11/0709 , G06F11/079 , G06F11/3476
摘要： Technologies are described herein for incorporating streaming and/or sampling in real-time log analysis. Representative samples of log data are extracted from the log files on a number of monitored hosts and streamed in real-time to log processors for processing. The log processors accumulate and process the representative samples of log data, and track a data completeness value representing an indication of a proportion of total log data represented by the representative samples received. The representative samples of log data are merged and collated. Estimated metrics are calculated from the merged and collated representative samples and the data completeness, and the estimated metrics are published to consumers in near real-time.
摘要翻译：本文描述了在实时日志分析中结合流和/或采样的技术。日志数据的代表性样本从多个受监视主机上的日志文件中提取，并实时流式传输到日志处理器进行处理。日志处理器累积并处理日志数据的代表性样本，并且跟踪表示由所接收的代表性样本表示的总日志数据的比例的指示的数据完整性值。日志数据的代表性样本被合并和整理。估计的指标是从合并和整理的代表性样本和数据的完整性中计算出来的，估计的指标将近似实时地发布给消费者。

6. 发明授权

US08499066B1 Predicting long-term computing resource usage 有权
公开(公告)号：US08499066B1
公开(公告)日：2013-07-30
申请号：US12961285
申请日：2010-12-06
申请人： Zhuo Zhang , Swaminathan Subramanian , Muhammad Ali Siddiqui
发明人： Zhuo Zhang , Swaminathan Subramanian , Muhammad Ali Siddiqui
IPC分类号： G06F15/177 , G06F15/173 , G06F3/00
CPC分类号： H04L47/823 , G06F9/06 , G06F9/505 , G06F2209/5019
摘要： Techniques are described for performing automated predictions of program execution capacity or other capacity of computing-related hardware resources that will be used to execute software programs in the future, such as for a group of computing nodes that execute one or more programs for a user. The predictions that are performed may in at least some situations be based on historical data regarding corresponding prior actual usage of execution-related capacity (e.g., for one or more prior years), and may include long-term predictions for particular future time periods that are multiple months or years into the future. In addition, the predictions of the execution-related capacity for particular future time periods may be used in various manners, including to manage execution-related capacity at or before those future time periods, such as to prepare sufficient execution-related capacity to be available at those future time periods.

7. 发明申请

US20100115246A1 SYSTEM AND METHOD OF DATA PARTITIONING FOR PARALLEL PROCESSING OF DYNAMICALLY GENERATED APPLICATION DATA 审中-公开
标题翻译：用于并行处理动态生成应用数据的数据分区系统和方法
公开(公告)号：US20100115246A1
公开(公告)日：2010-05-06
申请号：US12263422
申请日：2008-10-31
申请人： Sundar Seshadri , Muhammad Ali Siddiqui , Brian Sorkin , Robert Wong
发明人： Sundar Seshadri , Muhammad Ali Siddiqui , Brian Sorkin , Robert Wong
IPC分类号： G06F9/06
CPC分类号： G06F16/24532
摘要： An improved system and method of data partitioning for parallel processing of dynamically generated application data is provided. An application may send a request to partition the application data specified by a data partitioning policy and to process each of the data partitions according to processing instructions. The data partitioning policy may be flexibly defined by an application for partitioning data any number of ways, including balancing the data volume across each of the partitions or partitioning the data by data type. Asynchronous data partition processors may be instantiated to perform parallel processing of the partitioned data. The data may be partitioned according to the data partitioning policy and processed according to the processing instructions. And the results may be returned to the application.
摘要翻译：提供了一种用于并行处理动态生成的应用数据的改进的数据分区系统和方法。应用可以发送分配由数据分区策略指定的应用数据的请求，并根据处理指令处理每个数据分区。数据分区策略可以由用于分割数据的应用程序灵活地定义任何数量的方式，包括平衡每个分区上的数据卷或通过数据类型划分数据。可以实例化异步数据分区处理器以执行分割数据的并行处理。可以根据数据分区策略对数据进行分区，并根据处理指令进行处理。结果可能会返回给应用程序。

8. 发明授权

US09268663B1 Software testing analysis and control 有权
标题翻译：软件测试分析与控制
公开(公告)号：US09268663B1
公开(公告)日：2016-02-23
申请号：US13445482
申请日：2012-04-12
申请人： Muhammad Ali Siddiqui , Kendra A. Yourtee , Amos Dylan Vance , Ivan Eduardo Gonzalez , Thomas L. Keller , Peter V. Commons
发明人： Muhammad Ali Siddiqui , Kendra A. Yourtee , Amos Dylan Vance , Ivan Eduardo Gonzalez , Thomas L. Keller , Peter V. Commons
IPC分类号： G06F9/44 , G06F11/34 , G06F11/36
CPC分类号： G06F11/3447 , G06F11/3404 , G06F11/3457 , G06F11/3664 , G06F11/3688
摘要： This disclosure is directed in part to testing of different versions of software or software components (software versions) and analyzing results of use (e.g., user interaction) of the different software versions. The techniques described herein provide software testing that varies the allocation to enable a ramp up of allocations to/from another software version. The allocation module may use allocation rules to assign requests to each software version based on various factors such as load balancing, user attributes, past user assignment, and/or other rules or logic. An analysis of the different software versions may include an analysis of system performance resulting from operation of each software version. An analysis may determine attributes of each user and then allocate the user to a software version based on at least some of the determined attributes.
摘要翻译：本公开部分地针对测试不同版本的软件或软件组件（软件版本）并分析不同软件版本的使用结果（例如，用户交互）。本文描述的技术提供了改变分配的软件测试，以便能够向/从另一个软件版本分配增加。分配模块可以使用分配规则来基于诸如负载平衡，用户属性，过去的用户分配和/或其他规则或逻辑的各种因素来向每个软件版本分配请求。对不同软件版本的分析可能包括对每个软件版本的操作产生的系统性能的分析。分析可以确定每个用户的属性，然后基于所确定的属性中的至少一些将用户分配给软件版本。

9. 发明申请

US20090094073A1 REAL TIME CLICK (RTC) SYSTEM AND METHODS 审中-公开
标题翻译：实时点击（RTC）系统和方法
公开(公告)号：US20090094073A1
公开(公告)日：2009-04-09
申请号：US11866548
申请日：2007-10-03
申请人： Dominic Cheung , Rana Anjum Ahmed , Eugene Freeman Hu , Robert K. Wong , Muhammad Ali Siddiqui , Brian Wayne Sorkin
发明人： Dominic Cheung , Rana Anjum Ahmed , Eugene Freeman Hu , Robert K. Wong , Muhammad Ali Siddiqui , Brian Wayne Sorkin
IPC分类号： G06Q10/00 , G06F17/18
CPC分类号： G06Q30/02 , G06Q30/0248 , G06Q40/12
摘要： A real-time click system to process advertisement (ad) clicks includes a real-time listener operative to listen for, and store in a memory, a plurality of click event packets emitted by an ad server when corresponding ads are clicked by web users. A sequencer stores the click event packets in a database. A collector is coupled with the real-time listener and the sequencer and is operative to retrieve the plurality of click event packets, upon request, from the memory at a predetermined time interval. The collector also determines a partition number associated with each of the plurality of click event packets and sends to the sequencer the click event packets having a partition number corresponding to the sequencer.
摘要翻译：用于处理广告（ad）点击的实时点击系统包括一个实时监听器，用于在网络用户点击相应的广告时操作以监听和存储由广告服务器发出的多个点击事件包。定序器将点击事件数据包存储在数据库中。收集器与实时收听器和定序器耦合，并且可操作地以预定的时间间隔从存储器按要求检索多个点击事件包。收集器还确定与多个点击事件分组中的每一个相关联的分区号，并向定序器发送具有与定序器相对应的分区号的点击事件分组。

10. 发明授权

US10555145B1 Learned configuration of modification policies for program execution capacity 有权
公开(公告)号：US10555145B1
公开(公告)日：2020-02-04
申请号：US13489278
申请日：2012-06-05
申请人： Muhammad Ali Siddiqui , Gregory S. Kang , Srikant Meka , Rishikesan Rangarajan , Sanjeev K. Verma , Kendra A. Yourtee
发明人： Muhammad Ali Siddiqui , Gregory S. Kang , Srikant Meka , Rishikesan Rangarajan , Sanjeev K. Verma , Kendra A. Yourtee
IPC分类号： H04W4/50 , H04L12/24
摘要： Techniques are described for managing program execution capacity used to execute software programs, such as for a group of computing nodes in use executing one or more programs for a user. Dynamic modifications to the program execution capacity of the group may include adding or removing computing nodes, such as based on automated determinations that previously specified criteria are currently satisfied. The described techniques further include tracking information about changes that occur in one or more capacity utilization metrics of interest in response to dynamic modifications to the program execution capacity of the group, and then using such learned responses to determine a customized capacity modification policy that is configured for the actual operation of the software program(s) for the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.

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