公开(公告)号：US20150058641A1

公开(公告)日：2015-02-26

申请号：US14332693

申请日：2014-07-16

Applicant: VMWARE, INC.

Inventor： Aashish Parikh

IPC: G06F1/26

CPC classification number: G06Q30/0283 ,  G06F1/26 ,  G06F1/3209 ,  G06F9/5094 ,  G06F11/3062 ,  G06Q50/06 ,  H04L67/1002 ,  H04L67/1097 ,  H04L67/42 ,  Y02D10/22

Abstract: A power management system and method for performing power management operations in a distributed computer system uses predicted resource demands for a specified time in the future to change a power management option of a power management analysis algorithm prior to the specified time so that the power management analysis algorithm can be executed in anticipation of the predicted resource demands at the specified time.

Abstract translation: 用于在分布式计算机系统中执行电力管理操作的电力管理系统和方法在特定时间内在预定的时间内使用预定的资源需求来改变功率管理分析算法的功率管理选项，以便电力管理分析 可以在预期的指定时间内预测的资源需求的情况下执行算法。

公开(公告)号：US20150058265A1

公开(公告)日：2015-02-26

申请号：US13975239

申请日：2013-08-23

Applicant: VMware, Inc.

Inventor： Pradeep Padala ,  Aashish Parikh ,  Zhefu Jiang

IPC: G06N99/00

CPC classification number: G06N99/005

Abstract: A module and method for automatically scaling a multi-tier application, wherein each tier of the multi-tier application is supported by at least one virtual machine, selects one of reinforced learning and heuristic operation based on a policy to recommend a scaling action from a current state of the multi-tier application. If reinforced learning is selected, the reinforced learning is applied to select the scaling action from a plurality of possible actions for the multi-tier application in the current state. If heuristic operation is selected, the heuristic operation is applied to select the scaling action using a plurality of defined heuristics.

Abstract translation: 一种用于自动缩放多层应用程序的模块和方法，其中所述多层应用程序的每个层由至少一个虚拟机支持，基于策略选择加强学习和启发式操作之一，以推荐来自 当前状态的多层应用程序。 如果选择加强学习，则应用加强学习来从当前状态下的多层应用程序的多个可能的动作中选择缩放动作。 如果选择启发式操作，则应用启发式操作以使用多个定义的启发式来选择缩放操作。

公开(公告)号：US20150006140A1

公开(公告)日：2015-01-01

申请号：US13931787

申请日：2013-06-28

Applicant: VMware, Inc.

Inventor： Aashish Parikh ,  Rohit Bhoj ,  Pradeep Padala ,  Mustafa Uysal ,  Anne Holler

IPC: G06F1/32 ,  G06F9/455

CPC classification number: G06Q50/06 ,  G06F17/5009 ,  G06Q10/06

Abstract: A system and method for performing a hypothetical power management analysis on a distributed computer system uses chronologically consecutive snapshots of the distributed computer system. The snapshots are used to extract demands of clients running in the distributed computer system for a resource for different time intervals, which are then stitched together to produce a workload trace. The snapshots and the workload trace are used to construct modeling scenarios for the distributed computer system. The modeling scenarios are used to perform analyses to simulate the operation of the distributed computer system during which the power management module is enabled to compute potential power savings.

Abstract translation: 用于在分布式计算机系统上执行假想功率管理分析的系统和方法使用分布式计算机系统的按时间顺序连续的快照。 快照用于提取在分布式计算机系统中运行的不同时间间隔资源的客户端的需求，然后将其缝合在一起以产生工作负载跟踪。 快照和工作负载跟踪用于构建分布式计算机系统的建模方案。 建模场景用于执行分析，以模拟分布式计算机系统的运行，在此期间，电源管理模块能够计算潜在的功率节省。

公开(公告)号：US20140380307A1

公开(公告)日：2014-12-25

申请号：US13926773

申请日：2013-06-25

Applicant: VMware, Inc.

Inventor： Xiaoyun Zhu ,  Rean Griffith ,  Pradeep Padala ,  Aashish Parikh ,  Parth Shah ,  Lei Lu

IPC: G06F9/455

CPC classification number: H04L47/70 ,  G06F9/45533 ,  G06F9/45558 ,  G06F9/5011 ,  G06F9/5072 ,  G06F2009/45595 ,  Y02D10/22 ,  Y02D10/36

Abstract: A system and method for managing resources in a distributed computer system that includes at least one resource pool for a set of virtual machines (VMs) utilizes a set of desired individual VM-level resource settings that corresponds to target resource allocations for observed performance of an application running in the distributed computer system. The set of desired individual VM-level resource settings are determined by constructing a model for the observed application performance as a function of current VM-level resource allocations and then inverting the function to compute the target resource allocations in order to meet at least one user-defined service level objective (SLO). The set of desired individual VM-level resource settings are used to determine final RP-level resource settings for a resource pool to which the application belongs and final VM-level resource settings for the VMs running under the resource pool, which are then selectively applied.

Abstract translation: 一种用于管理分布式计算机系统中的资源的系统和方法，其包括用于一组虚拟机（VM）的至少一个资源池，利用与目标资源分配相对应的一组期望的各个VM级资源设置来观察 应用程序在分布式计算机系统中运行。 通过为观察到的应用程序性能构建模型来确定所需的单个VM级资源设置的集合，作为当前VM级资源分配的函数，然后反转该功能以计算目标资源分配，以便满足至少一个用户 定义的服务级别目标（SLO）。 所需的单个VM级资源设置集用于确定应用程序所属的资源池的最终RP级资源设置，以及在资源池下运行的VM的最终VM级资源设置，然后选择性地应用 。