专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20090164298A1 System and Method for Market Reserve Price Modeling in Online Auctions with Advanced Match 审中-公开
标题翻译：高级匹配在线拍卖市场储备价格建模系统与方法
公开(公告)号：US20090164298A1
公开(公告)日：2009-06-25
申请号：US11962582
申请日：2007-12-21
申请人： Ilya Gluhovsky , Chi-Chao Chang
发明人： Ilya Gluhovsky , Chi-Chao Chang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/08 , G06Q30/02 , G06Q30/0256 , G06Q30/0275
摘要： Apparatuses, methods, and systems directed to the estimation and modeling of market reserve prices for bidded terms in online keyword auctions with advanced match. Some embodiments of the invention estimate advertiser value distributions and advertiser bid distributions for the bidded terms and derive expected overall revenue. An optimization technique may be used to find the optimal market reserve prices for the bidded terms that maximize the expected overall revenue. In some other embodiments, a query is received for which a market reserve price is determined and exact and advanced matched advertisements are reordered for output and display.
摘要翻译：设备，方法和系统，用于对具有高级匹配的在线关键字拍卖中的投标条款的市场准备金价格进行估计和建模。本发明的一些实施例针对出价的术语估计广告客户价值分布和广告商投标分配，并得出预期的总收入。可以使用优化技术来找出最大化预期总收入的出价条款的最优市场储备价格。在一些其他实施例中，接收到确定市场储备价格的确切的查询，并且为了输出和显示重新排列精确和高级匹配的广告。

2. 发明申请

US20090210288A1 METHOD FOR GENERATING FORECASTING LANDSCAPES 有权
标题翻译：用于生成预测景观的方法
公开(公告)号：US20090210288A1
公开(公告)日：2009-08-20
申请号：US12034616
申请日：2008-02-20
申请人： Ilya Gluhovsky , Raja Velu , Anantharaman Nagarajan
发明人： Ilya Gluhovsky , Raja Velu , Anantharaman Nagarajan
IPC分类号： G06Q10/00 , G06F17/10
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： A method of generating an aggregated forecasting landscape for a particular advertiser's bidded term constructs standardized forecasting landscapes for each marketplace, rescales, by the advertiser's clickability in the respective marketplace, each of the standardized landscapes corresponding to the previous appearance of the advertiser's ad in that marketplace and whose appearance was attributed to the bidded term, and adds together the rescaled landscapes, thereby giving the advertiser a more accurate representation of how many total clicks he can expect for his advertisement as a function of how much he is willing/able to pay. In particular, estimation variance is reduced by introducing rank into the construction of the standardized landscapes, which increases the accuracy of the calculations.
摘要翻译：针对特定广告客户的投标期产生聚合预测景观的方法为每个市场构建标准化预测景观，根据广告商在相应市场中的可点击性来调整与该市场中广告主的广告的先前出现相对应的标准化景观并且其出现归因于投标的术语，并将重新定位的风景相加，从而使广告商更准确地表示他期望他的广告的总点击量，作为他愿意/能够支付多少的功能。特别地，通过在标准化景观的构建中引入等级来减少估计方差，这增加了计算的准确性。

3. 发明申请

US20070239936A1 Method and apparatus for statistically modeling a processor in a computer system 审中-公开
标题翻译：用于对计算机系统中的处理器进行统计建模的方法和装置
公开(公告)号：US20070239936A1
公开(公告)日：2007-10-11
申请号：US11601030
申请日：2006-11-17
申请人： Ilya Gluhovsky
发明人： Ilya Gluhovsky
IPC分类号： G06F12/00
CPC分类号： G06F12/0802 , G06F2212/601
摘要： One embodiment of the present invention provides a system that models computer system performance. The system empirically obtains a statistical model which comprises sets of statistical distributions for at least two types of memory-reference-related events associated with a workload executing on a processor in a computer system. These sets of statistical distributions include a first set of statistical distributions which characterize a distance between consecutive cache misses, and a second set of statistical distributions which characterize a distance between a cache miss and the beginning of a processor stall caused by the cache miss. The system then uses the statistical model to simulate the performance of the computer system executing the workload.
摘要翻译：本发明的一个实施例提供了一种对计算机系统性能进行建模的系统。系统经验地获得统计模型，其包括与在计算机系统中的处理器上执行的工作负载相关联的至少两种类型的与存储器参考相关的事件的统计分布集合。这些统计分布集合包括表征连续高速缓存未命中之间的距离的第一组统计分布和表征高速缓存未命中与由高速缓存未命中引起的处理器停顿开始之间的距离的第二组统计分布。然后，系统使用统计模型来模拟执行工作负载的计算机系统的性能。

4. 发明授权

US07054874B2 Modeling overlapping of memory references in a queueing system model 有权
标题翻译：在排队系统模型中建模内存引用的重叠
公开(公告)号：US07054874B2
公开(公告)日：2006-05-30
申请号：US10382823
申请日：2003-03-05
申请人： Ilya Gluhovsky , Brian W. O'Krafka
发明人： Ilya Gluhovsky , Brian W. O'Krafka
IPC分类号： G06F17/00
CPC分类号： G06F11/3447 , G06F2201/885
摘要： One embodiment of the present invention provides a system that facilitates modeling the effects of overlapping of memory references in a queueing system model. The system receives a memory reference during execution of a queueing system model. Upon receiving the memory reference, the system determines if the memory reference generates a cache miss. If so, the system models the cache miss in a manner that accounts for possible overlapping of the cache miss with other memory references and other processor operations.
摘要翻译：本发明的一个实施例提供了一种有助于建模排队系统模型中存储器引用的重叠效应的系统。系统在执行排队系统模型期间接收内存引用。在接收到存储器引用时，系统确定存储器引用是否生成高速缓存未命中。如果是这样，系统会以高速缓存未命中与其他内存引用和其他处理器操作的可能重叠的方式对缓存未命中建模。

5. 发明申请

US20080091446A1 Method and system for maximizing revenue generated from service level agreements 有权
标题翻译：最大化从服务级别协议产生的收入的方法和系统
公开(公告)号：US20080091446A1
公开(公告)日：2008-04-17
申请号：US11581939
申请日：2006-10-17
申请人： David Vengerov , Ilya Gluhovsky
发明人： David Vengerov , Ilya Gluhovsky
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06 , G06Q10/087
摘要： A method for maximizing revenue generated from a plurality of service level agreements (SLAs) that includes receiving a first subset of the plurality of SLAs for executing a first plurality of jobs, wherein each SLA in the first subset specifies a first maximum requested delay that is greater than an initial minimum offered delay, and wherein a price of each SLA in the first subset is defined by the maximum requested delay and a price/delay function, calculating a first expected revenue from executing the first subset, and optimizing a second subset of the plurality of SLAs by replacing the initial minimum offered delay on the initial price/delay function with a new minimum offered delay based on the expected revenue, wherein each SLA in the second subset specifies a second maximum requested delay that is greater than the new minimum offered delay.
摘要翻译：一种用于最大化从多个服务级别协议（SLA）产生的收入的方法，所述服务级别协议（SLA）包括接收所述多个SLA的第一子集以执行第一多个作业，其中，所述第一子集中的每个SLA指定第一最大请求延迟，大于初始最小提供延迟，并且其中第一子集中的每个SLA的价格由最大请求延迟和价格/延迟函数定义，从执行第一子集计算第一预期收入，并且优化第所述多个SLA通过基于预期收入用新的最小提供延迟替换初始价格/延迟函数上的初始最小提供延迟，其中第二子集中的每个SLA指定大于新最小值的第二最大请求延迟提供延迟

6. 发明授权

US07103517B2 Experimental design and statistical modeling tool for workload characterization 有权
标题翻译：用于工作负载表征的实验设计和统计建模工具
公开(公告)号：US07103517B2
公开(公告)日：2006-09-05
申请号：US10188789
申请日：2002-07-03
申请人： Ilya Gluhovsky , Brian W. O'Krafka
发明人： Ilya Gluhovsky , Brian W. O'Krafka
IPC分类号： G06F17/10 , G06F7/60
CPC分类号： G06F17/5022 , G06F12/0802
摘要： A method for a cache architecture simulation includes obtaining a first sample set for the cache architecture using a non-stationary Gaussian field model, performing a cache architecture simulation using the first sample set to produce a first set of simulation data, and fitting a first multivariate model to the first set of simulation data.
摘要翻译：一种用于高速缓存架构仿真的方法，包括使用非平稳高斯场模型获得用于高速缓存架构的第一采样集，使用第一采样组执行高速缓存架构模拟以产生第一组仿真数据，以及将第一多变量模型到第一组模拟数据。

7. 发明申请

US20080133320A1 Modeling customer behavior in a multi-choice service environment 审中-公开
标题翻译：在多选服务环境中建模客户行为
公开(公告)号：US20080133320A1
公开(公告)日：2008-06-05
申请号：US11607527
申请日：2006-12-01
申请人： Ilya Gluhovsky , David Vengerov , John Busch
发明人： Ilya Gluhovsky , David Vengerov , John Busch
IPC分类号： G06Q10/00 , G06F17/10
CPC分类号： G06Q30/02
摘要： One embodiment of the present invention provides a system that models customer behavior in a multi-choice service environment. The system constructs a probability density function f to represent probabilities of service-level choices made by customers, wherein the probability density function is a function of functional variables uθ(d) and p(d); uθ(d) is a utility function for a specific customer type indexed by vector θ; p(d) is a given price curve which specifies a relationship between service levels offered by a service provider and corresponding prices for the offered service levels; and uθ(d) and p(d) are both functions of the offered service levels d. The system then obtains a distribution function π(θ) which specifies a probability distribution of different customer types θ. Next, the system obtains a service level-choice distribution for a population of customers as a function of a given price curve based on the probability density function f and π(θ).
摘要翻译：本发明的一个实施例提供一种在多选择服务环境中模拟客户行为的系统。系统构造概率密度函数f，以表示由客户做出的服务级别选择的概率，其中概率密度函数是函数变量u（d）和p（d）的函数; （d）是由向量θ索引的特定客户类型的效用函数; p（d）是给定的价格曲线，其指定服务提供商提供的服务级别与所提供的服务级别的相应价格之间的关系; 和（D）和p（d）都是所提供的服务级别d的函数。然后，系统获得指定不同顾客类型θ的概率分布的分布函数pi（θ）。接下来，系统基于概率密度函数f和pi（θ），作为给定价格曲线的函数，获得用户群体的服务水平选择分布。

8. 发明授权

US07096178B2 Isotonic additive models in workload characterization 有权
标题翻译：工作量特征中的等渗加法模型
公开(公告)号：US07096178B2
公开(公告)日：2006-08-22
申请号：US10190958
申请日：2002-07-08
申请人： Ilya Gluhovsky
发明人： Ilya Gluhovsky
IPC分类号： G06F9/45
CPC分类号： G06F12/0802
摘要： A method for modeling a system configuration, including isotonizing an unconstrained additive model of a cache architecture to obtain an isotonic additive model for the cache architecture, wherein the isotonic additive model is of the same functional form as the unconstrained additive model, smoothing the isotonic additive model using a flat spot technique to obtain a characterization of the cache architecture, and modeling a system configuration using the characterization of the cache architecture.
摘要翻译：一种用于对系统配置进行建模的方法，包括等速缓存架构的无约束加法模型，以获得用于高速缓存架构的等张加性模型，其中等渗添加模型具有与无约束加法模型相同的功能形式，平滑等渗加性使用平点技术获得缓存架构的特性，以及使用高速缓存架构的特征建模系统配置。

9. 发明授权

US08533026B2 Method and system for maximizing revenue generated from service level agreements 有权
标题翻译：最大化从服务级别协议产生的收入的方法和系统
公开(公告)号：US08533026B2
公开(公告)日：2013-09-10
申请号：US11581939
申请日：2006-10-17
申请人： David Vengerov , Ilya Gluhovsky
发明人： David Vengerov , Ilya Gluhovsky
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06 , G06Q10/087
摘要： A method for maximizing revenue generated from a plurality of service level agreements (SLAs) that includes receiving a first subset of the plurality of SLAs for executing a first plurality of jobs, wherein each SLA in the first subset specifies a first maximum requested delay that is greater than an initial minimum offered delay, and wherein a price of each SLA in the first subset is defined by the maximum requested delay and a price/delay function, calculating a first expected revenue from executing the first subset, and optimizing a second subset of the plurality of SLAs by replacing the initial minimum offered delay on the initial price/delay function with a new minimum offered delay based on the expected revenue, wherein each SLA in the second subset specifies a second maximum requested delay that is greater than the new minimum offered delay.
摘要翻译：一种用于最大化从多个服务级别协议（SLA）产生的收入的方法，所述服务级别协议（SLA）包括接收所述多个SLA的第一子集以执行第一多个作业，其中，所述第一子集中的每个SLA指定第一最大请求延迟，大于初始最小提供延迟，并且其中第一子集中的每个SLA的价格由最大请求延迟和价格/延迟函数定义，从执行第一子集计算第一预期收入，并且优化第所述多个SLA通过基于预期收入用新的最小提供延迟替换初始价格/延迟函数上的初始最小提供延迟，其中第二子集中的每个SLA指定大于新最小值的第二最大请求延迟提供延迟

10. 发明授权

US07401012B1 Method and apparatus for characterizing computer system workloads 有权
标题翻译：表征计算机系统工作负载的方法和装置
公开(公告)号：US07401012B1
公开(公告)日：2008-07-15
申请号：US11111152
申请日：2005-04-20
申请人： Jan L. Bonebakker , Ilya Gluhovsky
发明人： Jan L. Bonebakker , Ilya Gluhovsky
IPC分类号： G06F17/50 , G06F9/45 , G06F15/177 , G06F15/173
CPC分类号： G06F11/3447 , G06F11/3428 , H04L41/142 , H04L41/147 , H04L43/045 , H04L43/08 , Y10S707/99932
摘要： One embodiment of the present invention provides a system that characterizes computer system workloads. During operation, the system collects metrics for a number of workloads of interest as the workloads of interest execute on a computer system. Next, the system uses the collected metrics to build a statistical regression model, wherein the statistical regression model uses a performance indicator as a response, and uses the metrics as predictors. The system then defines a distance metric between workloads, wherein the distance between two workloads is a function of the differences between metric values for the two workloads. Furthermore, these differences are weighted by corresponding coefficients for the metric values in the statistical regression model.
摘要翻译：本发明的一个实施例提供了表征计算机系统工作负载的系统。在运行期间，当感兴趣的工作负载在计算机系统上执行时，系统将收集许多感兴趣的工作负载的度量。接下来，系统使用收集的指标来构建统计回归模型，其中统计回归模型使用绩效指标作为响应，并且使用度量作为预测因子。然后，系统定义工作负载之间的距离度量，其中两个工作负载之间的距离是两个工作负载的度量值之间的差异的函数。此外，这些差异由统计回归模型中度量值的相应系数加权。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式