公开(公告)号：US20100218005A1

公开(公告)日：2010-08-26

申请号：US12391188

申请日：2009-02-23

申请人： Navendu Jain ,  CJ Williams ,  James Larus ,  Dan Reed

发明人： Navendu Jain ,  CJ Williams ,  James Larus ,  Dan Reed

IPC分类号： G06F1/00

CPC分类号： G06F9/5094 ,  G06F2209/5019 ,  Y02D10/22

摘要： The described implementations relate to energy-aware server management. One implementation involves an adaptive control unit configured to manage energy usage in a server farm by transitioning individual servers between active and inactive states while maintaining response times for the server farm at a predefined level.

摘要翻译： 所描述的实现涉及能量感知服务器管理。 一个实现涉及一种自适应控制单元，其被配置为通过在主动状态和非活动状态之间转换单个服务器来管理服务器场中的能量使用，同时维持服务器场在预定义级别的响应时间。

公开(公告)号：US08225119B2

公开(公告)日：2012-07-17

申请号：US12391188

申请日：2009-02-23

申请人： Navendu Jain ,  Charles J. Williams ,  James Larus ,  Dan Reed

发明人： Navendu Jain ,  Charles J. Williams ,  James Larus ,  Dan Reed

IPC分类号： G06F1/32 ,  G06F1/26

CPC分类号： G06F9/5094 ,  G06F2209/5019 ,  Y02D10/22

摘要： The described implementations relate to energy-aware server management. One implementation involves an adaptive control unit configured to manage energy usage in a server farm by transitioning individual servers between active and inactive states while maintaining response times for the server farm at a predefined level.

摘要翻译： 所描述的实现涉及能量感知服务器管理。 一个实现涉及一种自适应控制单元，其被配置为通过在主动状态和非活动状态之间转换单个服务器来管理服务器场中的能量使用，同时维持服务器场在预定义级别的响应时间。

公开(公告)号：US09207993B2

公开(公告)日：2015-12-08

申请号：US12779059

申请日：2010-05-13

申请人： Navendu Jain

发明人： Navendu Jain

IPC分类号： G06F15/173 ,  G06F9/50

CPC分类号： G06F9/5094 ,  Y02D10/22

摘要： An optimization framework for hosting sites that dynamically places application instances across multiple hosting sites based on the energy cost and availability of energy at these sites, application SLAs (service level agreements), and cost of network bandwidth between sites, just to name a few. The framework leverages a global network of hosting sites, possibly co-located with renewable and non-renewable energy sources, to dynamically determine the best datacenter (site) suited to place application instances to handle incoming workload at a given point in time. Application instances can be moved between datacenters subject to energy availability and dynamic power pricing, for example, which can vary hourly in day-ahead markets and in a time span of minutes in realtime markets.

摘要翻译： 基于能源成本和这些站点的能源可用性，应用程序SLA（服务水平协议）以及站点之间的网络带宽成本，动态地将应用程序实例跨多个托管站点的托管站点的优化框架，仅举几个例子。 该框架利用可能与可再生能源和不可再生能源共存的托管站点的全球网络来动态地确定适合于在给定时间点处理应用程序实例来处理传入工作负载的最佳数据中心（站点）。 应用实例可以在受到能源可用性和动态功率定价之间的数据中心之间移动，例如，在日间市场和实时市场的时间间隔可能会在几分钟内变化。

公开(公告)号：US08719804B2

公开(公告)日：2014-05-06

申请号：US12774203

申请日：2010-05-05

申请人： Navendu Jain

发明人： Navendu Jain

IPC分类号： G06F9/44 ,  G06F9/45

CPC分类号： G06F11/3082 ,  G06F11/3006 ,  G06F11/301 ,  G06F11/3089 ,  G06F11/3476 ,  G06F11/3495 ,  G06F2201/865 ,  H04L43/0829 ,  H04L43/0894

摘要： Instances of a same application execute on different respective hosts in a cloud computing environment. Instances of a monitor application are distributed to concurrently execute with each application instance on a host in the cloud environment, which provides user access to the application instances. The monitor application may be generated from a specification, which may define properties of the application/cloud to monitor and rules based on the properties. Each rule may have one or more conditions. Each monitor instance running on a host, monitors execution of the corresponding application instance on that host by obtaining from the host information regarding values of properties on the host per the application instance. Each monitor instance may evaluate the local host information or aggregate information collected from hosts running other instances of the monitor application, to repeatedly determine whether a rule condition has been violated. On violation, a user-specified handler is triggered.

摘要翻译： 相同应用程序的实例在云计算环境中的不同的相应主机上执行。 分布式监视器应用程序的实例，以与云环境中的主机上的每个应用程序实例同时执行，从而提供用户对应用程序实例的访问。 监视器应用程序可以从规范生成，规范可以根据属性定义应用程序/云的监视属性和规则。 每个规则可能有一个或多个条件。 在主机上运行的每个监视器实例通过从主机获取关于每个应用程序实例的主机上的属性值的信息来监视该主机上相应的应用程序实例的执行。 每个监视器实例可以评估从运行监视应用程序的其他实例的主机收集的本地主机信息或聚合信息，以重复确定是否违反规则条件。 在违规时，触发用户指定的处理程序。

公开(公告)号：US20140006862A1

公开(公告)日：2014-01-02

申请号：US13536782

申请日：2012-06-28

申请人： Navendu Jain ,  Rahul Potharaju

发明人： Navendu Jain ,  Rahul Potharaju

IPC分类号： G06F11/30

CPC分类号： G06F11/0781 ,  G06F11/008 ,  G06F11/0736 ,  H04L41/0604 ,  H04L41/065

摘要： The discussion relates to middlebox reliability. One example can apply event filters to a dataset of middlebox error reports to separate redundant middlebox error reports from a remainder of the middlebox error reports of the dataset. The example can categorize the remainder of the middlebox error reports of the dataset by middlebox device type. The example can also generate a graphical user interface that conveys past reliability and predicted future reliability for an individual model of an individual middlebox device type.

摘要翻译： 讨论涉及中间盒的可靠性。 一个示例可以将事件过滤器应用于中间件错误报告的数据集，以将冗余的中间件错误报告与数据集的中间件错误报告的其余部分分开。 该示例可以通过中间件设备类型对数据集的中间箱错误报告的其余部分进行分类。 该示例还可以生成图形用户界面，其传达过去可靠性并预测单个中间件设备类型的单独模型的未来可靠性。

公开(公告)号：US20130246208A1

公开(公告)日：2013-09-19

申请号：US13421959

申请日：2012-03-16

申请人： Navendu Jain ,  Ishai Menache ,  Ohad Shamir

发明人： Navendu Jain ,  Ishai Menache ,  Ohad Shamir

IPC分类号： G06F9/46 ,  G06Q30/08

CPC分类号： G06F9/50 ,  G06F2209/501

摘要： A method for adaptively allocating resources to a plurality of jobs. The method comprises selecting a first policy from a plurality of policies for a first job in the plurality of jobs by using a policy selection mechanism, allocating at least one resource to the first job in accordance with the first policy, and in response to completion of the first job, updating the policy selection mechanism to obtain an updated policy selection mechanism by using at least one processor. Updating the policy selection mechanism comprises evaluating the performance of the first policy with respect to the first job by calculating a value of a metric of utility for the first policy based on conditions associated with execution of the first job and updating the policy selection mechanism based on the calculated value and a delay of execution of the first job.

摘要翻译： 一种用于将资源自适应地分配给多个作业的方法。 该方法包括通过使用策略选择机制从多个策略中的第一作业的多个策略中选择第一策略，根据第一策略向第一作业分配至少一个资源，以及响应于完成 第一工作，通过使用至少一个处理器来更新策略选择机制以获得更新的策略选择机制。 更新策略选择机制包括：基于与第一作业的执行相关联的条件计算第一策略的效用度量的值来评估第一策略相对于第一作业的性能，并基于 计算的值和第一个作业的执行延迟。

公开(公告)号：US20130151683A1

公开(公告)日：2013-06-13

申请号：US13324497

申请日：2011-12-13

申请人： Navendu Jain ,  Gae-won You

发明人： Navendu Jain ,  Gae-won You

IPC分类号： G06F15/16

CPC分类号： G06F3/0611 ,  G06F3/061 ,  G06F3/0646 ,  G06F3/0647 ,  G06F3/067 ,  G06F3/0689 ,  G06F17/302 ,  H04L67/1002 ,  H04L67/1097

摘要： Methods and systems for load balancing in a cluster storage system are disclosed herein. The method includes identifying a source node within the cluster storage system from which to move a number of data objects, wherein the source node includes a node with a total load exceeding a threshold value. The method also includes selecting the data objects to move from the source node, wherein the data objects are chosen such that the total load of the source node no longer exceeds the threshold value. The method further includes determining a target node within the cluster storage system based on a proximity to the source node and the total load of the target node and moving the data objects from the source node to the target node.

摘要翻译： 这里公开了用于在群集存储系统中进行负载平衡的方法和系统。 该方法包括识别从其移动多个数据对象的群集存储系统内的源节点，其中源节点包括总负载超过阈值的节点。 该方法还包括选择要从源节点移动的数据对象，其中数据对象被选择为使得源节点的总负载不再超过阈值。 该方法还包括基于源节点的接近度和目标节点的总负载并且将数据对象从源节点移动到目标节点来确定群集存储系统内的目标节点。

公开(公告)号：US20130007753A1

公开(公告)日：2013-01-03

申请号：US13171425

申请日：2011-06-28

申请人： Navendu Jain

发明人： Navendu Jain

IPC分类号： G06F9/46

CPC分类号： G06F9/46 ,  G06F9/4881 ,  G06F2209/483

摘要： An elastic scaling cloud-hosted batch application system and method that performs automated elastic scaling of the number of compute instances used to process batch applications in a cloud computing environment. The system and method use automated elastic scaling to minimize job completion time and monetary cost of resources. Embodiments of the system and method use a workload-driven approach to estimate a work volume to be performed. This is based on task arrivals and job execution times. Given the work volume estimate, an adaptive controller dynamically adapts the number of compute instances to minimize the cost and completion time. Embodiments of the system and method also mitigate startup delays by computing a work volume in the near future and gradually starting up additional compute instances before they are needed. Embodiments of the system and method also ensure fairness among batch applications and concurrently executing jobs.

摘要翻译： 弹性扩展云托管批处理应用系统和方法，用于在云计算环境中执行用于处理批处理应用程序的计算实例数量的自动弹性缩放。 该系统和方法使用自动弹性缩放来最小化作业完成时间和资源的货币成本。 系统和方法的实施例使用工作负载驱动的方法来估计要执行的工作量。 这是基于任务到达和作业执行时间。 考虑到工作量估计，自适应控制器动态地调整计算实例的数量以最小化成本和完成时间。 系统和方法的实施例还通过在不久的将来计算工作量并在需要之前逐渐启动额外的计算实例来减轻启动延迟。 系统和方法的实施例还确保批量应用程序和并发执行作业之间的公平性。

公开(公告)号：US20120158447A1

公开(公告)日：2012-06-21

申请号：US12973399

申请日：2010-12-20

申请人： Navendu Jain

发明人： Navendu Jain

IPC分类号： G06Q10/00

CPC分类号： G06Q10/06311 ,  G06Q10/063114

摘要： This document describes techniques for pricing batch computing jobs based at least in part on temporally- or spatially-dependent costs. By so doing, prices offered to perform a batch computing job better reflect the costs to perform that batch computing job.

摘要翻译： 本文档描述了至少部分地基于时间或空间依赖的成本来定价批量计算作业的技术。 通过这样做，提供用于执行批量计算作业的价格更好地反映了执行批量计算任务的成本。

公开(公告)号：US09619297B2

公开(公告)日：2017-04-11

申请号：US13531612

申请日：2012-06-25

申请人： Navendu Jain ,  Ishai Menache ,  F. Bruce Shepherd ,  Joseph (Seffi) Naor

发明人： Navendu Jain ,  Ishai Menache ,  F. Bruce Shepherd ,  Joseph (Seffi) Naor

IPC分类号： G06F9/50 ,  G06F9/48 ,  G06F15/173 ,  G06F9/455

CPC分类号： G06F9/5088 ,  G06F9/4856 ,  Y02D10/32

摘要： There is provided a method and system for process migration in a data center network. The method includes selecting processes to be migrated from a number of overloaded servers within a data center network based on an overload status of each overloaded server. Additionally, the method includes selecting, for each selected process, one of a number of underloaded servers to which to migrate the selected process based on an underload status of each underloaded server, and based on a parameter of a network component by which the selected process is to be migrated. The method also includes migrating each selected process to the selected underloaded server such that a migration finishes within a specified budget.