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    • 1. 发明授权
    • Systems and methods of partitioning data for synchronous parallel processing
    • 用于同步并行处理的数据分区系统和方法
    • US08429165B1
    • 2013-04-23
    • US13413978
    • 2012-03-07
    • Gueyoung JungShanmuga-Nathan GnanasambandamTridib Mukherjee
    • Gueyoung JungShanmuga-Nathan GnanasambandamTridib Mukherjee
    • G06F17/30
    • G06F9/505G06F17/3089
    • Methods and systems for partitioning data for processing in a plurality of data centers are disclosed. For each of a plurality of data centers, a time period required for the data center to process an amount of information may be estimated. The plurality of data centers may be ordered based on the time period for each data center. Data may be received from one or more sources. A data center having a smallest time period from the ordered plurality of data centers may be selected to be added to a set of data centers. An overall execution time for the set of data centers to process the data may be determined. The selecting and determining operations may be repeated until the overall execution time satisfies one or more threshold criteria. The data may be transmitted to the set of data centers.
    • 公开了用于分割用于在多个数据中心中进行处理的数据的方法和系统。 对于多个数据中心中的每一个,可以估计数据中心处理信息量所需的时间段。 可以基于每个数据中心的时间段来排序多个数据中心。 可以从一个或多个来源接收数据。 可以选择具有来自有序多个数据中心的最小时间周期的数据中心以被添加到一组数据中心。 可以确定用于处理数据的数据中心集合的总执行时间。 可以重复选择和确定操作,直到总体执行时间满足一个或多个阈值标准。 数据可以被发送到数据中心集合。
    • 2. 发明申请
    • SYSTEMS AND METHODS FOR BEHAVIORAL PATTERN MINING
    • 用于行为图案采矿的系统和方法
    • US20130346447A1
    • 2013-12-26
    • US13529111
    • 2012-06-21
    • Changjun WuShanmuga-Nathan GnanasambandamGueyoung JungShi Zhao
    • Changjun WuShanmuga-Nathan GnanasambandamGueyoung JungShi Zhao
    • G06F17/30
    • G06F17/30876G06F17/30867
    • Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.
    • 执行数据挖掘的方法和系统可以包括接收多个web日志记录和多个呼叫记录记录; 将一个或多个Web日志记录与呼叫记录记录相关联,其中,所述相关联的一个或多个web日志记录中的每一个的关联用户和所述呼叫记录记录是相同的; 识别用于多个呼叫记录记录的web日志记录中的一个或多个模式,其中每个模式包括一个或多个web访问,执行一个或多个web访问中的每一个执行的时间戳以及用于呼叫的呼叫主题 日志记录; 识别与新呼叫相关联的一个或多个web日志记录,以及基于至少一个模式和所述一个或多个web日志记录来预测新呼叫的呼叫主题。
    • 4. 发明授权
    • Systems and methods for behavioral pattern mining
    • 行为模式挖掘的系统和方法
    • US09305104B2
    • 2016-04-05
    • US13529111
    • 2012-06-21
    • Changjun WuShanmuga-Nathan GnanasambandamGueyoung JungShi Zhao
    • Changjun WuShanmuga-Nathan GnanasambandamGueyoung JungShi Zhao
    • G06F7/00G06F17/00G06F17/30
    • G06F17/30876G06F17/30867
    • Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.
    • 执行数据挖掘的方法和系统可以包括接收多个web日志记录和多个呼叫记录记录; 将一个或多个Web日志记录与呼叫记录记录相关联,其中,所述相关联的一个或多个web日志记录中的每一个的关联用户和所述呼叫记录记录是相同的; 识别用于所述多个呼叫记录记录的所述web日志记录中的一个或多个模式,其中每个模式包括一个或多个web访问,执行所述一个或多个web访问中的每一个的时间戳以及所述呼叫的呼叫话题 日志记录; 识别与新呼叫相关联的一个或多个web日志记录,以及基于至少一个模式和所述一个或多个web日志记录来预测新呼叫的呼叫主题。
    • 5. 发明授权
    • Systems and methods for self-adaptive episode mining under the threshold using delay estimation and temporal division
    • 使用延迟估计和时间分割在阈值下进行自适应事件挖掘的系统和方法
    • US08965830B2
    • 2015-02-24
    • US13474083
    • 2012-05-17
    • Gueyoung JungShanmuga-Nathan Gnanasambandam
    • Gueyoung JungShanmuga-Nathan Gnanasambandam
    • G06F17/00G06N5/02
    • G06F17/30539
    • Embodiments relate to systems and methods for self-adaptive episode mining under time threshold using delay estimation and temporal division. An episode mining engine can analyze a set of episodes captured from a set of network resources to detect all sequences of user-specified frequency within a supplied runtime budget or time threshold. The engine can achieve desired levels of completeness in the results by mining the input log file in multiple stages or steps, each having successively longer lengths of event sequences. After completion of each stage, the engine calculates a remaining amount of runtime budget, and updates the amount of time to be allocated for each of the remaining stages up to a generated maximum stage (or sequence length). The engine thus corrects the estimated remaining time in the runtime budget (or threshold) after each stage, and continues to the next stage until the runtime budget is consumed.
    • 实施例涉及使用延迟估计和时间划分在时间阈值下进行自适应事件挖掘的系统和方法。 情节挖掘引擎可以分析从一组网络资源捕获的一组剧集,以检测所提供的运行时预算或时间阈值内的用户指定频率的所有序列。 引擎可以通过以多个阶段或步骤挖掘输入日志文件来获得所需结果的完整性,每个步骤具有连续更长的事件序列长度。 在每个阶段完成之后,引擎计算运行时间预算的剩余量,并且更新要分配给每个剩余阶段的时间直到生成的最大阶段(或序列长度)。 因此,引擎在每个阶段之后校正运行时间预算(或阈值)中的估计剩余时间,并且继续下一阶段,直到运行时预算消耗。
    • 6. 发明申请
    • SYSTEMS AND METHODS FOR SELF-ADAPTIVE EPISODE MINING UNDER THE THRESHOLD USING DELAY ESTIMATION AND TEMPORAL DIVISION
    • 使用延迟估计和时间段在自适应阈值下进行自适应压缩采矿的系统和方法
    • US20130311994A1
    • 2013-11-21
    • US13474083
    • 2012-05-17
    • Gueyoung JungShanmuga-Nathan Gnanasambandam
    • Gueyoung JungShanmuga-Nathan Gnanasambandam
    • G06F9/46
    • G06F17/30539
    • Embodiments relate to systems and methods for self-adaptive episode mining under time threshold using delay estimation and temporal division. An episode mining engine can analyze a set of episodes captured from a set of network resources to detect all sequences of user-specified frequency within a supplied runtime budget or time threshold. The engine can achieve desired levels of completeness in the results by mining the input log file in multiple stages or steps, each having successively longer lengths of event sequences. After completion of each stage, the engine calculates a remaining amount of runtime budget, and updates the amount of time to be allocated for each of the remaining stages up to a generated maximum stage (or sequence length). The engine thus corrects the estimated remaining time in the runtime budget (or threshold) after each stage, and continues to the next stage until the runtime budget is consumed.
    • 实施例涉及使用延迟估计和时间划分在时间阈值下进行自适应事件挖掘的系统和方法。 情节挖掘引擎可以分析从一组网络资源捕获的一组剧集,以检测所提供的运行时预算或时间阈值内的用户指定频率的所有序列。 引擎可以通过以多个阶段或步骤挖掘输入日志文件来获得所需结果的完整性,每个步骤具有连续更长的事件序列长度。 在每个阶段完成之后,引擎计算运行时间预算的剩余量,并且更新要分配给每个剩余阶段的时间直到生成的最大阶段(或序列长度)。 因此,引擎在每个阶段之后校正运行时间预算(或阈值)中的估计剩余时间,并且继续下一阶段,直到运行时预算消耗。
    • 10. 发明授权
    • Energy efficiency improvements in cloud-based environments
    • 基于云的环境提高能效
    • US08849695B2
    • 2014-09-30
    • US13586180
    • 2012-08-15
    • Haengju LeeGueyoung JungTridib Mukherjee
    • Haengju LeeGueyoung JungTridib Mukherjee
    • G06Q30/00G06F11/34G06Q30/02
    • G06Q30/0207G06F11/3409G06Q30/02
    • An energy efficient cloud-based environment includes multiple users requesting delivery of cloud-based services from a cloud service provider. Each user provides inputs for the delivery of one or more specific cloud based services. The inputs include the type of service, time frame for using the service, and either an energy efficiency level or a performance level pertaining to the service's delivery. The service provider allocates different resources to the users for delivering the requested services, and calculates an actual price and an operating energy cost for delivering the requested services to each of the users. The profit of the service provider due to users is calculated. An overall profit of the service provider associated with delivering the cloud-based services is calculated, and a fraction of the overall profit is distributed as an incentive among the users. The incentive of each user is proportional to the profit contribution of that user.
    • 基于节能的基于云的环境包括从云服务提供商那里请求提供基于云的服务的多个用户。 每个用户提供用于传送一个或多个特定的基于云的服务的输入。 输入包括服务类型,使用服务的时间范围以及与服务交付相关的能效水平或性能水平。 服务提供商向用户分配不同的资源以递送所请求的服务,并且计算用于将所请求的服务递送给每个用户的实际价格和操作能量成本。 计算由于用户而导致的服务提供商的利润。 计算与提供云服务相关的服务提供商的整体利润,并将总体利润的一小部分作为用户的激励分配。 每个用户的激励与该用户的利润贡献成正比。