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1. 发明申请

US20100103781A1 TIME SYNCHRONIZATION IN CLUSTER SYSTEMS 有权
标题翻译：群集系统中的时间同步
公开(公告)号：US20100103781A1
公开(公告)日：2010-04-29
申请号：US12258344
申请日：2008-10-24
申请人： Vikram Rai , Alok Srivastava , Angelo Pruscino , Sameer Joshi
发明人： Vikram Rai , Alok Srivastava , Angelo Pruscino , Sameer Joshi
IPC分类号： G04C11/04
CPC分类号： G06F1/12 , H04J3/0667
摘要： Techniques are described herein for synchronizing cluster time. According to one technique, a master node is appointed in a cluster. Other “slave” nodes periodically synchronize their clocks with the master node. To synchronize its clock with the master node, a slave node sends a timestamped message to the master node, which also timestamps the message and sends the message back to the slave node, which then timestamps the message again. Based on the timestamps, the slave node is able to determine the difference between the master node's clock's time and slave node's clock's time, compensating for the message travel time between master node and slave node. Depending on various circumstances, and based on the determined difference, the slave node adjusts its clock so that the time indicated by the slave node's clock at least begins to approach more closely the time indicated by the master node's clock.
摘要翻译：这里描述了用于同步集群时间的技术。根据一种技术，在簇中指定主节点。其他“从”节点周期性地将其时钟与主节点同步。为了将其时钟与主节点同步，从节点向主节点发送时间戳消息，主节点还对消息进行时间戳，并将消息发送回从节点，从节点再次对消息进行时间戳。基于时间戳，从节点能够确定主节点的时钟和从节点的时钟时间之间的差异，从而补偿主节点和从节点之间的消息传播时间。根据各种情况，根据确定的差异，从节点调整其时钟，使从节点的时钟指示的时间至少开始接近主节点时钟指示的时间。

2. 发明申请

US20090217282A1 PREDICTING CPU AVAILABILITY FOR SHORT TO MEDIUM TIME FRAMES ON TIME SHARED SYSTEMS 审中-公开
标题翻译：预计CPU可用性对于中间时间框架在时间分配系统上
公开(公告)号：US20090217282A1
公开(公告)日：2009-08-27
申请号：US12037233
申请日：2008-02-26
申请人： Vikram RAI , Alok Srivastava , Angelo Pruscino , Sameer Joshi , Sunil Kumar , Sriram Sankaran , Joy Mukherjee
发明人： Vikram RAI , Alok Srivastava , Angelo Pruscino , Sameer Joshi , Sunil Kumar , Sriram Sankaran , Joy Mukherjee
IPC分类号： G06F9/50
CPC分类号： G06F11/3452 , G06F11/3409
摘要： A computer implemented CPU utilization prediction technique is provided. CPU utilization prediction is implemented described in continuous time as an auto-regressive process of the first order. The technique used the inherent autocorrelation between successive CPU measurements. A specific auto-regression equation for predicting CPU utilization is provided. CPU utilization prediction is used in a computer cluster environment. In an implementation, CPU utilization percentage values are used by a scheduler service to manage workload or the distribution of requests over a vast number of CPUs.
摘要翻译：提供了计算机实现的CPU利用预测技术。 CPU利用率预测在连续时间内被实现为一阶自动回归过程。该技术使用连续CPU测量之间的固有自相关性。提供了一种用于预测CPU利用率的特定自回归方程。在计算机集群环境中使用CPU利用率预测。在实现中，调度程序服务使用CPU利用率百分比值来管理工作负载或通过大量CPU分配请求。

3. 发明授权

US08169856B2 Time synchronization in cluster systems 有权
标题翻译：集群系统中的时间同步
公开(公告)号：US08169856B2
公开(公告)日：2012-05-01
申请号：US12258344
申请日：2008-10-24
申请人： Vikram Rai , Alok Srivastava , Angelo Pruscino , Sameer Joshi
发明人： Vikram Rai , Alok Srivastava , Angelo Pruscino , Sameer Joshi
IPC分类号： G04C13/00 , G04C11/02 , H04L7/00 , G06F15/16
CPC分类号： G06F1/12 , H04J3/0667
摘要： Techniques are described herein for synchronizing cluster time. According to one technique, a master node is appointed in a cluster. Other “slave” nodes periodically synchronize their clocks with the master node. To synchronize its clock with the master node, a slave node sends a timestamped message to the master node, which also timestamps the message and sends the message back to the slave node, which then timestamps the message again. Based on the timestamps, the slave node is able to determine the difference between the master node's clock's time and slave node's clock's time, compensating for the message travel time between master node and slave node. Depending on various circumstances, and based on the determined difference, the slave node adjusts its clock so that the time indicated by the slave node's clock at least begins to approach more closely the time indicated by the master node's clock.
摘要翻译：这里描述了用于同步集群时间的技术。根据一种技术，在簇中指定主节点。其他“从”节点周期性地将其时钟与主节点同步。为了将其时钟与主节点同步，从节点向主节点发送时间戳消息，主节点还对消息进行时间戳，并将消息发送回从节点，从节点再次对消息进行时间戳。基于时间戳，从节点能够确定主节点的时钟和从节点的时钟时间之间的差异，从而补偿主节点和从节点之间的消息传播时间。根据各种情况，并且根据所确定的差异，从节点调整其时钟，使得从节点的时钟指示的时间至少开始接近主节点时钟指示的时间。

4. 发明授权

US08069370B1 Fault identification of multi-host complex systems with timesliding window analysis in a time series 有权
标题翻译：多时间复杂系统的故障识别与时间序列窗口分析
公开(公告)号：US08069370B1
公开(公告)日：2011-11-29
申请号：US12830069
申请日：2010-07-02
申请人： Fulu Li , Mohsin Beg , Sameer Joshi , WeiHsin Gu , Michael Zoll , Angelo Pruscino
发明人： Fulu Li , Mohsin Beg , Sameer Joshi , WeiHsin Gu , Michael Zoll , Angelo Pruscino
IPC分类号： G06F11/00
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/3409 , H04L41/0636 , H04L41/064 , H04L41/16
摘要： A method and apparatus is provided for determining the most probable cause of a problem observed in a complex multi-host system. The approach relies on a probabilistic model to represent causes and effects in a complex computing system. However, complex systems include a multitude of independently operating components that can cause temporary anomalous states. To reduce the resources required to perform root cause analysis on each transient failure, as well as to raise the confidence in the most probable cause of a failure that is identified by the model, inputs to the probabilistic model are aggregated over a sliding window of values from the recent past.
摘要翻译：提供了一种用于确定在复杂的多主机系统中观察到的问题的最可能原因的方法和装置。该方法依赖于概率模型来表示复杂计算系统中的原因和影响。然而，复杂的系统包括许多可以引起临时异常状态的独立运行的组件。为了减少对每个瞬态故障执行根本原因分析所需的资源，以及提高对由模型识别的故障的最可能原因的置信度，对概率模型的输入在值的滑动窗口上聚合从最近过去。

5. 发明授权

US08549002B2 Cluster health indicator with dynamic load correlation 有权
公开(公告)号：US08549002B2
公开(公告)日：2013-10-01
申请号：US12152535
申请日：2008-05-15
申请人： Thomas Herter , Angelo Pruscino
发明人： Thomas Herter , Angelo Pruscino
IPC分类号： G06F17/30
CPC分类号： G06F11/3006 , G06F11/3082 , G06F11/328 , G06F11/3433
摘要： Systems, methods, and other embodiments associated with producing a proximity display of correlated load metrics associated with members of a cluster are described. One example method includes acquiring metrics data (e.g., load data) from nodes in a cluster. The example method may also include determining a cluster element state based on the metrics data and determining relationships between members of the set of related cluster elements. The method may also include identifying element metric representations for cluster elements based on cluster element states and identifying locations on a proximity display at which element metric representations are to be displayed. The locations may depend on relationships between cluster element states. The method may also include displaying element metric representations at the computed locations to produce a proximity display of correlated load metrics.

6. 发明授权

US07814065B2 Affinity-based recovery/failover in a cluster environment 有权
标题翻译：集群环境中基于关联度的恢复/故障转移
公开(公告)号：US07814065B2
公开(公告)日：2010-10-12
申请号：US11205529
申请日：2005-08-16
申请人： Wilson Wai Shun Chan , Angelo Pruscino , Stefan Roesch , Michael Zoll , Tolga Yurek
发明人： Wilson Wai Shun Chan , Angelo Pruscino , Stefan Roesch , Michael Zoll , Tolga Yurek
IPC分类号： G06F17/30
CPC分类号： G06F11/2046 , G06F11/203 , G06F11/2033 , G06F11/2035 , G06F11/30 , G06F2201/825 , Y10S707/99939 , Y10S707/99942 , Y10S707/99953
摘要： Techniques are provided for responding to the termination of a node by selecting another node, and assigning to the selected node the affinity relationships that existed between the terminated node and one or more objects. The resources that belong to the objects involved in the affinity relationships are remastered to the selected node. The selected node then performs recovery of the resources that had been opened by the terminated node and/or serves as a failover node to execute the transactions that had been executing on the terminated node.
摘要翻译：提供了通过选择另一个节点来响应终止节点的技术，并且向所选节点分配存在于终止的节点与一个或多个对象之间的亲和度关系。属于与亲和力关系相关的对象的资源将重新分配给所选节点。所选择的节点然后执行已被终止的节点打开的资源的恢复和/或用作故障切换节点来执行在终止的节点上执行的事务。

7. 发明申请

US20100254254A1 PROCESS ACTIVENESS CHECK 有权
标题翻译：过程活动检查
公开(公告)号：US20100254254A1
公开(公告)日：2010-10-07
申请号：US12419227
申请日：2009-04-06
申请人： Wilson Chan , Cheng-Lu Hsu , Angelo Pruscino
发明人： Wilson Chan , Cheng-Lu Hsu , Angelo Pruscino
IPC分类号： G06F11/00
CPC分类号： G06F11/0751 , G06F11/0715 , G06F11/3476
摘要： Described herein are techniques for dynamically monitoring process activeness of processes running on a computing node. Problems affecting processes to serve their designated functions on the computing node can be relatively quickly detected and dealt with, thereby making restoring process activeness on the computing node much more quickly than otherwise.
摘要翻译：这里描述了用于动态地监视在计算节点上运行的进程的进程活动性的技术。可以相对快速地检测和处理影响在计算节点上服务其指定功能的过程的问题，从而使计算节点上的恢复过程活跃性比其他方式更快。

8. 发明申请

US20100174802A1 SUPER MASTER 有权
标题翻译：超级大师
公开(公告)号：US20100174802A1
公开(公告)日：2010-07-08
申请号：US12350182
申请日：2009-01-07
申请人： Wilson Chan , Angelo Pruscino , Michael Zoll
发明人： Wilson Chan , Angelo Pruscino , Michael Zoll
IPC分类号： G06F15/16
CPC分类号： G06F17/30362
摘要： Described herein are techniques for using super masters to coordinate accesses by nodes in a database server cluster to data stored in a database. In many cases, the number of inter-nodal messages is reduced, thereby saving the overheads attendant to coordinating accesses in such a system.
摘要翻译：这里描述的是使用超级主人来协调数据库服务器集群中的节点到存储在数据库中的数据的访问的技术。在许多情况下，减少节点间消息的数量，从而节省了在这种系统中协调访问的开销。

9. 发明授权

US07711916B2 Storing information on storage devices having different performance capabilities with a storage system 有权
标题翻译：在存储系统内存储具有不同性能能力的存储设备上的信息
公开(公告)号：US07711916B2
公开(公告)日：2010-05-04
申请号：US11127699
申请日：2005-05-11
申请人： Sashikanth Chandrasekaran , Angelo Pruscino , James Williams
发明人： Sashikanth Chandrasekaran , Angelo Pruscino , James Williams
IPC分类号： G06F12/00
CPC分类号： G06F3/0605 , G06F3/0649 , G06F3/0685 , G06F12/0866
摘要： Techniques are described for storing portions of files on different storage devices based on the devices' respective storage class. For example, different extents from a large file within a system, application, or database may be stored on different storage devices. The storage devices may be part of a single storage system that includes some storage devices that have different performance capabilities. The decision of where, within the storage classes, to store data may be based on the access patterns of the data. Access patterns regarding file extents are tracked using respective access bits, which are set when a memory block associated with an extent is accessed via an I/O operation. In one embodiment, an access bitmap is modified to account for cached blocks of file extents.
摘要翻译：描述了用于基于设备的相应存储类将文件的部分存储在不同存储设备上的技术。例如，系统，应用程序或数据库中的大文件的不同范围可以存储在不同的存储设备上。存储设备可以是包括具有不同性能能力的一些存储设备的单个存储系统的一部分。在存储类中存储数据的位置的决定可以基于数据的访问模式。使用相应的访问位追踪关于文件扩展区的访问模式，当通过I / O操作访问与扩展区相关联的存储器块时，该访问位被设置。在一个实施例中，修改访问位图以考虑文件盘区的缓存块。

10. 发明申请

US20090287720A1 Cluster health indicator with dynamic load correlation 有权
标题翻译：具有动态负载相关性的群体健康指标
公开(公告)号：US20090287720A1
公开(公告)日：2009-11-19
申请号：US12152535
申请日：2008-05-15
申请人： Thomas Herter , Angelo Pruscino
发明人： Thomas Herter , Angelo Pruscino
IPC分类号： G06F17/30
CPC分类号： G06F11/3006 , G06F11/3082 , G06F11/328 , G06F11/3433
摘要： Systems, methods, and other embodiments associated with producing a proximity display of correlated load metrics associated with members of a cluster are described. One example method includes acquiring metrics data (e.g., load data) from nodes in a cluster. The example method may also include determining a cluster element state based on the metrics data and determining relationships between members of the set of related cluster elements. The method may also include identifying element metric representations for cluster elements based on cluster element states and identifying locations on a proximity display at which element metric representations are to be displayed. The locations may depend on relationships between cluster element states. The method may also include displaying element metric representations at the computed locations to produce a proximity display of correlated load metrics.
摘要翻译：描述了与生成与集群的成员相关联的相关负载度量的接近显示相关联的系统，方法和其他实施例。一个示例性方法包括从集群中的节点获取度量数据（例如，加载数据）。示例性方法还可以包括基于度量数据确定集群元素状态并确定该组相关集群元素的成员之间的关系。该方法还可以包括基于聚类元素状态识别针对簇元素的元素度量表示，并且识别要在哪个元素度量表示被显示的接近度显示上的位置。位置可能取决于集群元素状态之间的关系。该方法还可以包括在计算的位置处显示元素度量表示以产生相关负载度量的接近显示。

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