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1. 发明授权

US07664847B2 Managing workload by service 有权
标题翻译：按服务管理工作量
公开(公告)号：US07664847B2
公开(公告)日：2010-02-16
申请号：US10917715
申请日：2004-08-12
申请人： Carol Colrain , Daniel Semler
发明人： Carol Colrain , Daniel Semler
IPC分类号： G06F15/173
CPC分类号： G06F11/3495 , G06F9/5027 , G06F11/3409 , G06F11/3433 , G06F2201/87 , G06F2201/875 , G06F2209/501 , H04L29/08144 , H04L43/0817
摘要： Approaches for manage and measuring workload on computer resources by measuring workload in ways that are independent of physical hardware and that correlate to ways in which it is desirable to measure and manage workload for applications and clients. Specifically, logical abstractions of workload, referred to as services, are defined for a cluster of nodes running a multi-node database server of a database. A service is a category of work hosted on a subset of multi-node database servers, such as work that is performed for an online order entry application. The workload is measured and demarcated by the service no matter which node in a single or multi-node system performs the service, providing a global view of performance realized by the system.
摘要翻译：通过以独立于物理硬件的方式测量工作负载来管理和衡量计算机资源上的工作负载的方法，并与测量和管理应用程序和客户端的工作负载的方式相关。具体来说，称为服务的工作负载的逻辑抽象是为运行数据库多节点数据库服务器的节点集群定义的。服务是托管在多节点数据库服务器子集上的一类工作，例如为在线订单输入应用程序执行的工作。无论单节点或多节点系统中的哪个节点执行服务，服务都将测量和划分工作负载，从而提供系统实现的性能的全局视图。

2. 发明授权

US07516221B2 Hierarchical management of the dynamic allocation of resources in a multi-node system 有权
标题翻译：多节点系统资源动态分配的层次管理
公开(公告)号：US07516221B2
公开(公告)日：2009-04-07
申请号：US10917873
申请日：2004-08-12
申请人： Benny Souder , Debashish Chatterjee , Lakshminarayanan Chidambaran , David Brower , Carol Colrain , Daniel Semler , Christopher A. Kantarjiev , James W. Stamos
发明人： Benny Souder , Debashish Chatterjee , Lakshminarayanan Chidambaran , David Brower , Carol Colrain , Daniel Semler , Christopher A. Kantarjiev , James W. Stamos
IPC分类号： G06F15/173 , G06F12/00
CPC分类号： G06F11/3433 , G06F9/5027 , G06F9/5061 , G06F11/3495 , G06F2201/80 , G06F2201/87 , G06F2209/501 , H04L29/08279 , H04L41/5009 , H04L41/5038
摘要： Approaches are used for efficiently and effectively managing the dynamic allocation of resources of multi-node database systems between services provided by the multi-node database server. A service is a category of work that is hosted on the database server. The approaches manage allocation of resources at different levels. For services that use a particular database, the performance realized by the services is monitored. Resources assigned to the database are allocated between these services to ensure performance goals for each are met. Resources assigned to a cluster of nodes are allocated between the databases to ensure that performance goals for all the services that use the databases are met. Resources assigned to a farm of clusters are assigned amongst clusters based on service level agreements and back-end policies. The approach uses a hierarchy of directors to manage resources at the different levels.
摘要翻译：方法用于在由多节点数据库服务器提供的服务之间有效和有效地管理多节点数据库系统的资源的动态分配。服务是托管在数据库服务器上的一类工作。这些方法管理不同层次的资源分配。对于使用特定数据库的服务，将监视服务实现的性能。分配给数据库的资源在这些服务之间分配，以确保满足每个服务的性能目标。分配给节点集群的资源在数据库之间分配，以确保满足使用数据库的所有服务的性能目标。根据服务级别协议和后端策略，在集群中分配分配给集群场的资源。该方法使用董事级别来管理不同级别的资源。

3. 发明申请

US20050038834A1 Hierarchical management of the dynamic allocation of resources in a multi-node system 有权
标题翻译：多节点系统资源动态分配的层次管理
公开(公告)号：US20050038834A1
公开(公告)日：2005-02-17
申请号：US10917873
申请日：2004-08-12
申请人： Benny Souder , Debashish Chatterjee , Lakshminarayanan Chidambaran , David Brower , Carol Colrain , Daniel Semler , Christopher Kantarjiev , James Stamos
发明人： Benny Souder , Debashish Chatterjee , Lakshminarayanan Chidambaran , David Brower , Carol Colrain , Daniel Semler , Christopher Kantarjiev , James Stamos
IPC分类号： G06F17/30
CPC分类号： G06F11/3433 , G06F9/5027 , G06F9/5061 , G06F11/3495 , G06F2201/80 , G06F2201/87 , G06F2209/501 , H04L29/08279 , H04L41/5009 , H04L41/5038
摘要： Approaches are used for efficiently and effectively managing the dynamic allocation of resources of multi-node database systems between services provided by the multi-node database server. A service is a category of work that is hosted on the database server. The approaches manage allocation of resources at different levels. For services that use a particular database, the performance realized by the services is monitored. Resources assigned to the database are allocated between these services to ensure performance goals for each are met. Resources assigned to a cluster of nodes are allocated between the databases to ensure that performance goals for all the services that use the databases are met. Resources assigned to a farm of clusters are assigned amongst clusters based on service level agreements and back-end policies. The approach uses a hierarchy of directors to manage resources at the different levels.
摘要翻译：方法用于在由多节点数据库服务器提供的服务之间有效和有效地管理多节点数据库系统的资源的动态分配。服务是托管在数据库服务器上的一类工作。这些方法管理不同层次的资源分配。对于使用特定数据库的服务，将监视服务实现的性能。分配给数据库的资源在这些服务之间分配，以确保满足每个服务的性能目标。分配给节点集群的资源在数据库之间分配，以确保满足使用数据库的所有服务的性能目标。根据服务级别协议和后端策略，在集群中分配分配给集群场的资源。该方法使用董事级别来管理不同级别的资源。

4. 发明授权

US06675315B1 Diagnosing crashes in distributed computing systems 有权
标题翻译：诊断分布式计算系统中的崩溃
公开(公告)号：US06675315B1
公开(公告)日：2004-01-06
申请号：US09565787
申请日：2000-05-05
申请人： Daniel Semler , Yuriy S. Granat , Alok Srivastava , Ivan Tinlung Lam
发明人： Daniel Semler , Yuriy S. Granat , Alok Srivastava , Ivan Tinlung Lam
IPC分类号： G06F1100
CPC分类号： G06F11/2294 , G06F11/0709 , G06F11/0748
摘要： Mechanisms are provided for preserving data wherein one or more nodes in a distributed computing system experiences an error. In one embodiment, when an error occurs, an error event is identified. Based on this error event, a set of identified execution units is suspended and a set of identified data is collected. All suspended execution units are then released, i.e., allowed to continue execution at the point where the units were suspended. The data collected during suspension is then used to diagnose the cause of the error.
摘要翻译：提供了用于保存数据的机制，其中分布式计算系统中的一个或多个节点遇到错误。在一个实施例中，当发生错误时，识别错误事件。基于该错误事件，一组已识别的执行单元被暂停，并且收集一组所识别的数据。然后释放所有暂停的执行单元，即允许在单元暂停的时刻继续执行。然后将暂停期间收集的数据用于诊断错误的原因。

5. 发明申请

US20050038833A1 Managing workload by service 有权
标题翻译：按服务管理工作量
公开(公告)号：US20050038833A1
公开(公告)日：2005-02-17
申请号：US10917715
申请日：2004-08-12
申请人： Carol Colrain , Daniel Semler
发明人： Carol Colrain , Daniel Semler
IPC分类号： G06F12/00 , G06F17/30
CPC分类号： G06F11/3495 , G06F9/5027 , G06F11/3409 , G06F11/3433 , G06F2201/87 , G06F2201/875 , G06F2209/501 , H04L29/08144 , H04L43/0817
摘要： Approaches for manage and measuring workload on computer resources by measuring workload in ways that are independent of physical hardware and that correlate to ways in which it is desirable to measure and manage workload for applications and clients. Specifically, logical abstractions of workload, referred to as services, are defined for a cluster of nodes running a multi-node database server of a database. A service is a category of work hosted on a subset of multi-node database servers, such as work that is performed for an online order entry application. The workload is measured and demarcated by the service no matter which node in a single or multi-node system performs the service, providing a global view of performance realized by the system.
摘要翻译：通过以独立于物理硬件的方式测量工作负载来管理和衡量计算机资源上的工作负载的方法，并与测量和管理应用程序和客户端的工作负载的方式相关。具体来说，称为服务的工作负载的逻辑抽象是为运行数据库多节点数据库服务器的节点集群定义的。服务是托管在多节点数据库服务器子集上的一类工作，例如为在线订单输入应用程序执行的工作。无论单节点或多节点系统中的哪个节点执行服务，服务都将测量和划分工作负载，从而提供系统实现的性能的全局视图。

6. 发明申请

US20050256971A1 Runtime load balancing of work across a clustered computing system using current service performance levels 审中-公开
标题翻译：使用当前服务性能级别的集群计算系统的运行时负载平衡
公开(公告)号：US20050256971A1
公开(公告)日：2005-11-17
申请号：US11168967
申请日：2005-06-27
申请人： Carol Colrain , Charles Simmons , Daniel Semler , Stefan Pommerenk , Angelo Pruscino
发明人： Carol Colrain , Charles Simmons , Daniel Semler , Stefan Pommerenk , Angelo Pruscino
IPC分类号： G06F7/00 , G06F9/50 , G06F17/30
CPC分类号： G06F9/5083 , G06F9/505 , G06F2209/508
摘要： Runtime load balancing of work across a clustered computing system involves servers calculating, and clients utilizing, current service performance grades of each instance in the system. A performance grade for an instance is based on performance metrics for that instance, where the computation used may vary by policy. Examples of possible policies include: (a) using estimated bandwidth as a performance grade, (b) using spare capacity as a performance grade, or (c) using response time as a performance grade. Clients distribute work requests across servers in the system as the requests arrive. Work requests can be distributed according to performance grades, and/or flags associated with the performance grades. Automatically and intelligently directing work requests to the best server instances, based on real-time service performance metrics, minimizes the need to manually relocate work within the clustered system.
摘要翻译：跨群集计算系统的运行时负载平衡涉及服务器计算，客户端利用系统中每个实例的当前服务性能等级。实例的性能等级基于该实例的性能指标，其中使用的计算可能因策略而异。可能的政策示例包括：（a）使用估计带宽作为绩效等级，（b）使用备用容量作为绩效等级，或（c）使用响应时间作为绩效等级。客户端在请求到达时，通过系统中的服务器分发工作请求。工作请求可以根据绩效等级和/或与绩效等级相关联的标记进行分发。基于实时服务性能指标，将工作请求自动和智能地指向最佳服务器实例，最大限度地减少了在群集系统中手动重新定位工作的需要。

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