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    • 6. 发明授权
    • Highly scalable system and method of regulating internet traffic to server farm to support (min,max) bandwidth usage-based service level agreements
    • 高度可扩展的系统和方法,将互联网流量调整到服务器场,以支持(最小,最大)带宽使用率的服务级别协议
    • US06857025B1
    • 2005-02-15
    • US09543207
    • 2000-04-05
    • Kiyoshi MaruyamaGerman GoldszmidtJean LorrainKaren Appleby-Hougham
    • Kiyoshi MaruyamaGerman GoldszmidtJean LorrainKaren Appleby-Hougham
    • G06F15/16H04L12/56H04L29/06H04L29/08
    • H04L69/329H04L47/10H04L47/11H04L47/125H04L47/15H04L47/193H04L47/70H04L47/781H04L47/808H04L47/822H04L47/823H04L67/1002H04L67/1012H04L67/1029H04L67/325
    • A highly scalable system and method for supporting (mim,max) based Service Level Agreements (SLA) on outbound bandwidth usage for a plurality of customers whose applications (e.g.,Web sites) are hosted by a server farm that consists of a very large number of servers. The system employs a feedback system that enforces the outbound link bandwidth SLAs by regulating the inbound traffic to a server or server farm. Inbound traffic is admitted to servers using a rate denoted as Rt(i,j), which is the amount of the ith customer's jth type of traffic that can be admitted within a service cycle time to servers which support the ith customer. A centralized device computes Rt(i,j) based on the history of admitted inbound traffic to servers, the history of generated outbound traffic from servers, and the SLAs of various customers. The Rt(i,j) value is then relayed to one or more inbound traffic limiters that regulate the inbound traffic using the rates Rt(i,j) in a given service cycle time. The process of computing and deploying Rt(i,j) values is repeated periodically. In this manner, the system provides a method by which differentiated services can be provided to various types of traffic, the generation of output from a server or a server farm is avoided if that output cannot be delivered to end users, and revenue can be maximized when allocating bandwidth beyond the minimums.
    • 一种用于支持(mim,max)的服务级别协议(SLA)的高度可扩展的系统和方法,用于多个客户的出站带宽使用,其应用程序(例如,网站)由服务器场托管,服务器场由非常大的数目 的服务器。 系统采用反馈系统,通过调节到服务器或服务器场的入站流量来强制执行出站链路带宽SLA。 入站流量被允许使用表示为Rt(i,j)的速率进入服务器,该速率是可以在服务周期内允许的服务器中支持的第i类客户的第j类流量的数量 我客户。 集中式设备根据入站到服务器的入站流量的历史记录,服务器生成的出站流量和不同客户的SLA的历史记录计算Rt(i,j)。 然后将Rt(i,j)值中继到一个或多个入站流量限制器,其在给定的服务周期时间内使用速率Rt(i,j)来调节入站流量。 计算和部署Rt(i,j)值的过程周期性地重复。 以这种方式,系统提供了一种可以将差分服务提供给各种类型的业务的方法,如果该输出不能传递给最终用户,则避免从服务器或服务器场的输出的产生,并且可以使收入最大化 当分配带宽超过最小值时。
    • 7. 发明申请
    • Method, system, and storage medium for implementing business process modules
    • 用于实施业务流程模块的方法,系统和存储介质
    • US20060112122A1
    • 2006-05-25
    • US10995670
    • 2004-11-23
    • German GoldszmidtJoshy JosephJames MassieLance Walker
    • German GoldszmidtJoshy JosephJames MassieLance Walker
    • G06F17/30
    • G06Q10/06
    • Exemplary embodiments include a method for implementing business process modules for performing business process modeling. The method includes identifying tasks required in order to achieve a capability and designing a process module for enabling the capability. The designing includes interconnecting logic flow among the tasks resulting in an optimized, repeatable pattern of logically transformed inputs to outputs required for achieving the capability. The method also includes selecting and associating attributes to the tasks. The attributes are selected from categories including: information technology component services, data, operational business rules, roles, and measurements. The method further includes defining and associating metadata with the process module. The metadata describes functional capabilities provided by the process module and business and technical contexts into which the process module is used.
    • 示例性实施例包括用于实现用于执行业务流程建模的业务流程模块的方法。 该方法包括识别为实现能力而需要的任务,以及设计用于启用能力的过程模块。 该设计包括在任务之间互连逻辑流,导致优化的,可重复的逻辑变换输入模式到实现该能力所需的输出。 该方法还包括选择和关联属性到任务。 属性从类别中选择,包括:信息技术组件服务,数据,运营业务规则,角色和度量。 该方法还包括定义和关联元数据与过程模块。 元数据描述了过程模块提供的功能功能以及使用过程模块的业务和技术环境。
    • 8. 发明授权
    • Method and system for dynamically allocating servers to compute-resources using capacity thresholds
    • 使用容量阈值动态分配服务器到计算资源的方法和系统
    • US07882230B2
    • 2011-02-01
    • US12061019
    • 2008-04-02
    • Karen ApplebyGerman Goldszmidt
    • Karen ApplebyGerman Goldszmidt
    • G06F15/173
    • H04L67/1008H04L67/1002H04L67/101H04L67/1012H04L67/1023
    • Servers are allocated for use in one of a plurality of compute-resources or for stand-by storage in a free-pool. Server load metrics are selected (e.g., ping-reply time or CP utilization) for measuring load in the servers. Metrics are measured for the servers allocated to the compute-resources. Several metrics can be measured simultaneously. The metrics for each compute-resource are normalized and averaged. Then, the metrics for each compute-resource are combined using weighting coefficients, producing a global load value, G, for each compute-resource. The G value is recalculated at timed intervals. Upper and lower thresholds are set for each compute-resource, and the G values are compared to the thresholds. If the G value exceeds the upper threshold, then a server in the free-pool is reallocated to the compute-resource; if the G value is less than the lower threshold, then a server is moved from the compute-resource to the free-pool.
    • 服务器被分配用于多个计算资源之一或在空闲池中的备用存储。 选择服务器负载指标(例如,ping应答时间或CP利用率)来测量服务器中的负载。 衡量分配给计算资源的服务器的度量标准。 可以同时测量多个指标。 每个计算资源的度量标准化和平均。 然后,使用加权系数组合每个计算资源的度量,为每个计算资源产生全局负载值G。 G值以定时间隔重新计算。 为每个计算资源设置上限和下限阈值,并将G值与阈值进行比较。 如果G值超过上限阈值,则将自由池中的服务器重新分配给计算资源; 如果G值小于下限阈值,则将服务器从计算资源移动到可用池。
    • 9. 发明申请
    • Method and System for Dynamically Allocating Servers to Compute-Resources Using Capacity Thresholds
    • 使用容量阈值动态分配服务器到计算资源的方法和系统
    • US20080183865A1
    • 2008-07-31
    • US12061019
    • 2008-04-02
    • Karen ApplebyGerman Goldszmidt
    • Karen ApplebyGerman Goldszmidt
    • G06F15/173
    • H04L67/1008H04L67/1002H04L67/101H04L67/1012H04L67/1023
    • Servers are allocated for use in one of a plurality of compute-resources or for stand-by storage in a free-pool. Server load metrics are selected (e.g., ping-reply time or CP utilization) for measuring load in the servers. Metrics are measured for the servers allocated to the compute-resources. Several metrics can be measured simultaneously. The metrics for each compute-resource are normalized and averaged. Then, the metrics for each compute-resource are combined using weighting coefficients, producing a global load value, G, for each compute-resource. The G value is recalculated at timed intervals. Upper and lower thresholds are set for each compute-resource, and the G values are compared to the thresholds. If the G value exceeds the upper threshold, then a server in the free-pool is reallocated to the compute-resource; if the G value is less than the lower threshold, then a server is moved from the compute-resource to the free-pool.
    • 服务器被分配用于多个计算资源之一或在空闲池中的备用存储。 选择服务器负载指标(例如,ping应答时间或CP利用率)来测量服务器中的负载。 衡量分配给计算资源的服务器的度量标准。 可以同时测量多个指标。 每个计算资源的度量标准化和平均。 然后,使用加权系数组合每个计算资源的度量,为每个计算资源产生全局负载值G。 G值以定时间隔重新计算。 为每个计算资源设置上限和下限阈值,并将G值与阈值进行比较。 如果G值超过上限阈值,则将自由池中的服务器重新分配给计算资源; 如果G值小于下限阈值,则将服务器从计算资源移动到可用池。
    • 10. 发明申请
    • Method and system for dynamically allocating servers to compute-resources using capacity thresholds
    • 使用容量阈值动态分配服务器到计算资源的方法和系统
    • US20070233866A1
    • 2007-10-04
    • US11390369
    • 2006-03-28
    • Karen ApplebyGerman Goldszmidt
    • Karen ApplebyGerman Goldszmidt
    • G06F15/173
    • H04L67/1008H04L67/1002H04L67/101H04L67/1012H04L67/1023
    • Servers are allocated for use in one of a plurality of compute-resources or for stand-by storage in a free-pool. Server load metrics are selected (e.g., ping-reply time or CP utilization) for measuring load in the servers. Metrics are measured for the servers allocated to the compute-resources. Several metrics can be measured simultaneously. The metrics for each compute-resource are normalized and averaged. Then, the metrics for each compute-resource are combined using weighting coefficients, producing a global load value, G, for each compute-resource. The G value is recalculated at timed intervals. Upper and lower thresholds are set for each compute-resource, and the G values are compared to the thresholds. If the G value exceeds the upper threshold, then a server in the free-pool is reallocated to the compute-resource; if the G value is less than the lower threshold, then a server is moved from the compute-resource to the free-pool.
    • 服务器被分配用于多个计算资源之一或在空闲池中的备用存储。 选择服务器负载指标(例如,ping应答时间或CP利用率)来测量服务器中的负载。 衡量分配给计算资源的服务器的度量标准。 可以同时测量多个指标。 每个计算资源的度量标准化和平均。 然后,使用加权系数组合每个计算资源的度量,为每个计算资源产生全局负载值G。 G值以定时间隔重新计算。 为每个计算资源设置上限和下限阈值,并将G值与阈值进行比较。 如果G值超过上限阈值,则将自由池中的服务器重新分配给计算资源; 如果G值小于下限阈值,则将服务器从计算资源移动到可用池。