公开(公告)号：US09170961B2

公开(公告)日：2015-10-27

申请号：US13564303

申请日：2012-08-01

申请人： Rajarshi Das ,  Metin Feridun ,  Canturk Isci ,  Jonathan Lenchner ,  Suzanne K. McIntosh ,  Michael E. Nidd ,  Axel Tanner ,  Bo Yang

发明人： Rajarshi Das ,  Metin Feridun ,  Canturk Isci ,  Jonathan Lenchner ,  Suzanne K. McIntosh ,  Michael E. Nidd ,  Axel Tanner ,  Bo Yang

IPC分类号： G06F17/00 ,  G06F13/14

CPC分类号： G06F13/14 ,  H05K7/1498

摘要： Mechanisms are provided for determining the location of computing assets within an organization. These mechanisms determine first location information identifying a location of at least one first physical asset housing in a predetermined physical area of the organization relative to a predetermined coordinate system, and second location information identifying a location of at least one second physical asset housing within the at least one first asset housing. The mechanisms automatically determine third location information identifying a location of at least one computing asset within the at least one second physical asset housing. In addition, the mechanisms generate an asset location map data structure for the organization based on the first, second and third location information. The mechanisms also perform at least one management operation for managing resources of the organization, based on the asset location map data structure for the organization.

公开(公告)号：US08527793B2

公开(公告)日：2013-09-03

申请号：US13603170

申请日：2012-09-04

申请人： Hoi Y. Chan ,  Rajarshi Das ,  James E. Hanson ,  Canturk Isci ,  Jeffrey O. Kephart ,  David W. Levine

发明人： Hoi Y. Chan ,  Rajarshi Das ,  James E. Hanson ,  Canturk Isci ,  Jeffrey O. Kephart ,  David W. Levine

IPC分类号： G06F1/26 ,  G06F1/32

CPC分类号： G06F1/3234 ,  G06F1/3206 ,  G06F1/3209 ,  G06F1/3287 ,  G06F1/329 ,  G06F9/5094 ,  H04L67/00 ,  Y02D10/171 ,  Y02D10/22 ,  Y02D10/24

摘要： Managing readiness states of a plurality of computing devices. A programmed processor unit operates, upon receipt of a request, to: provide one or more computing devices from an inactive pool to an active pool, or accept one or more active computing devices into the inactive pool. The system proactively manages the inactive states of each computing device by: determining the desired number (and identities) of computing devices to be placed in each inactive state of readiness by solving a constraint optimization problem that describes a user-specified trade-off between expected readiness (estimated time to be able to activate computing devices when they are needed next) and conserving energy; generating a plan for changing the current set of inactive states to the desired set; and, executing the plan. Multiple alternative ways of quantifying the desired responsiveness to surges in demand are provided.

摘要翻译： 管理多个计算设备的准备状态。 编程处理器单元在接收到请求时操作：将一个或多个计算设备从非活动池提供到活动池，或者将一个或多个活动计算设备接纳到非活动池中。 系统通过以下方式主动地管理每个计算设备的不活动状态：通过解决约束优化问题来确定要置于每个非活动状态的计算设备的期望数量（和身份），所述约束优化问题描述用户指定的预期的权衡 准备（估计时间能够在下一次需要时激活计算设备）并节约能源; 生成将当前的无效状态集合改变为所需集合的计划; 并执行该计划。 提供了多种替代方法来量化对需求浪涌的期望响应。

公开(公告)号：US20130103214A1

公开(公告)日：2013-04-25

申请号：US13280887

申请日：2011-10-25

申请人： Rajarshi Das ,  Hendrik F. Hamann ,  Vanessa Lopez-Marrero ,  Andriy Stepanchuk ,  Srinivas Yarlanki

发明人： Rajarshi Das ,  Hendrik F. Hamann ,  Vanessa Lopez-Marrero ,  Andriy Stepanchuk ,  Srinivas Yarlanki

IPC分类号： G05B15/00

CPC分类号： G06F9/5094 ,  G05B11/01 ,  G05B2219/25387 ,  G05B2219/2638 ,  G06F1/206 ,  G06F1/3203 ,  G06Q10/04 ,  Y02D10/16

摘要： Methods, apparatuses, and computer program products for provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center are provided. Embodiments include for each air conditioning unit within the data center, determining a thermal zone generated by the air conditioning unit; for a given aggregate computational workload, identifying a plurality of computational workload configurations, each computational workload configuration indicating spatial assignments of the aggregate computational workload among a plurality of processing resources within the data center; for each computational workload configuration, calculating a total minimum energy consumption of the air conditioning units and the processing resources; and selecting the computational workload configuration with the lowest total minimum energy consumption and the determined lowest power air conditioning unit configuration corresponding with the selected computational workload configuration.

摘要翻译： 提供了用于提供总计算工作量和空调单元配置以便优化空调单元和数据中心内的处理资源的效用的方法，装置和计算机程序产品。 实施例包括数据中心内的每个空调单元，确定空调单元产生的热区; 对于给定的聚合计算工作负载，识别多个计算工作负载配置，每个计算工作负载配置指示所述数据中心内的多个处理资源之间的所述总计算工作量的空间分配; 对于每个计算工作量配置，计算空调单元和处理资源的总最小能量消耗; 以及选择具有最小总最小能量消耗的计算工作量配置以及与所选择的计算工作负载配置相对应的所确定的最低功率空调单元配置。

公开(公告)号：US08352951B2

公开(公告)日：2013-01-08

申请号：US12164896

申请日：2008-06-30

申请人： Rajarshi Das ,  Jeffrey Owen Kephart ,  Gerald James Tesauro ,  William Edward Walsh

发明人： Rajarshi Das ,  Jeffrey Owen Kephart ,  Gerald James Tesauro ,  William Edward Walsh

IPC分类号： G06F9/46 ,  G06F15/173

CPC分类号： G06F9/5027 ,  G06F9/5083

摘要： In one embodiment, the present invention is a method for allocation of finite computational resources amongst multiple entities, wherein the method is structured to optimize the business value of an enterprise providing computational services. One embodiment of the inventive method involves establishing, for each entity, a service level utility indicative of how much business value is obtained for a given level of computational system performance. The service-level utility for each entity is transformed into a corresponding resource-level utility indicative of how much business value may be obtained for a given set or amount of resources allocated to the entity. The resource-level utilities for each entity are aggregated, and new resource allocations are determined and executed based upon the resource-level utility information. The invention is thereby capable of making rapid allocation decisions, according to time-varying need or value of the resources by each of the entities.

摘要翻译： 在一个实施例中，本发明是一种用于在多个实体之间分配有限计算资源的方法，其中该方法被构造为优化提供计算服务的企业的商业价值。 本发明方法的一个实施例涉及为每个实体建立一个服务级别实用程序，其指示针对给定级别的计算系统性能获得多少商业价值。 每个实体的服务级别实用程序被转换成相应的资源级实用程序，指示可以为给定的集合或分配给该实体的资源量获得多少商业价值。 聚合每个实体的资源级实用程序，并根据资源级实用程序信息确定和执行新的资源分配。 因此，本发明能够根据每个实体的时间变化需要或资源价值进行快速分配决定。

公开(公告)号：US20120290135A1

公开(公告)日：2012-11-15

申请号：US13104571

申请日：2011-05-10

申请人： Tony A. Bentivegna ,  Brad L. Brech ,  Rajarshi Das ,  Murthy V. Devarakonda ,  Hendrik F. Hamann ,  Jeffrey O. Kephart ,  Bret W. Lehman ,  Jonathan Lenchner ,  Christopher L. Molloy

发明人： Tony A. Bentivegna ,  Brad L. Brech ,  Rajarshi Das ,  Murthy V. Devarakonda ,  Hendrik F. Hamann ,  Jeffrey O. Kephart ,  Bret W. Lehman ,  Jonathan Lenchner ,  Christopher L. Molloy

IPC分类号： G05D23/19

CPC分类号： G05B13/02 ,  G05D23/1934 ,  H05K7/20836

摘要： Techniques are described for controlling the climate in a data center. Using the input of an administrator, multiple desired attributes of a data center (e.g., temperature, energy consumption, costs, or system performance) may be balanced using a utility function that maximizes the utility of the computing systems in the data center according to the administrator's preferences. Additionally, a cooling model is generated that represents the affect of a control parameter (e.g., the fan speed of a CRAC) on the desire attributes of the data center. The cooling model may then be substituted into the utility function to replace the desired attributes. Using this new utility function, the control parameters may be varied such that the maximum utility is achieved.

摘要翻译： 描述了用于控制数据中心中的气候的技术。 使用管理员的输入，可以使用效用函数平衡数据中心的多个期望属性（例如，温度，能量消耗，成本或系统性能），其使数据中心中的计算系统的效用最大化，根据 管理员的偏好。 此外，生成表示控制参数（例如，CRAC的风扇速度）对数据中心的期望属性的影响的冷却模型。 然后可以将冷却模型替换为效用函数以替换期望的属性。 使用这个新的效用函数，可以改变控制参数，使得实现最大效用。

公开(公告)号：US20120084580A1

公开(公告)日：2012-04-05

申请号：US13082144

申请日：2011-04-07

申请人： Mor Harchol-Balter ,  Anshul Gandhi ,  Rajarshi Das ,  Jeffrey Kephart

发明人： Mor Harchol-Balter ,  Anshul Gandhi ,  Rajarshi Das ,  Jeffrey Kephart

IPC分类号： G06F1/32

CPC分类号： G06F1/3203 ,  G06F1/32 ,  G06F1/3206 ,  G06F1/3228 ,  G06F1/324 ,  G06F1/329 ,  G06F1/3296 ,  G06F9/4881 ,  G06F9/4893 ,  G06F9/5094 ,  Y02D10/00 ,  Y02D10/126 ,  Y02D10/17 ,  Y02D10/20 ,  Y02D10/22 ,  Y02D10/24

摘要： Systems, apparatuses, methods, and software that implement power budget allocation optimization algorithms in multi-processor systems, such as server farms. The algorithms are derived from a queuing theoretic model that minimizes the mean response time of the system to the jobs in the workload while accounting for a variety of factors. These factors include, but are not necessarily limited to, the type of power (frequency) scaling mechanism(s) available within the processors in the system, the power-to-frequency relationship(s) of the processors for the scaling mechanism(s) available, whether or not the system is an open or closed loop system, the arrival rate of jobs incoming into the system, the number of jobs within the system, and the type of workload being processed.

摘要翻译： 在多处理器系统（如服务器场）中实施功率预算分配优化算法的系统，设备，方法和软件。 这些算法是从排队理论模型中得出的，该模型最大限度地减少了系统对工作负载中的作业的平均响应时间，同时考虑了各种因素。 这些因素包括但不一定限于系统内处理器内可用的功率（频率）缩放机制的类型，用于缩放机制的处理器的功率与频率关系（s） ），无论系统是开放还是闭环系统，系统中进入作业的到达率，系统中的作业数以及正在处理的工作负载的类型。

公开(公告)号：USD721973S1

公开(公告)日：2015-02-03

申请号：US29423842

申请日：2012-06-05

申请人： Rajarshi Das ,  Neil Enciso ,  Marc T. Wiescinski

设计人： Rajarshi Das ,  Neil Enciso ,  Marc T. Wiescinski

公开(公告)号：US20140006672A1

公开(公告)日：2014-01-02

申请号：US13564303

申请日：2012-08-01

申请人： Rajarshi Das ,  Metin Feridun ,  Canturk Isci ,  Jonathan Lenchner ,  Suzanne K. McIntosh ,  Michael E. Nidd ,  Axel Tanner ,  Bo Yang

发明人： Rajarshi Das ,  Metin Feridun ,  Canturk Isci ,  Jonathan Lenchner ,  Suzanne K. McIntosh ,  Michael E. Nidd ,  Axel Tanner ,  Bo Yang

IPC分类号： G06F13/14

CPC分类号： G06F13/14 ,  H05K7/1498

摘要： Mechanisms are provided for determining the location of computing assets within an organization. These mechanisms determine first location information identifying a location of at least one first physical asset housing in a predetermined physical area of the organization relative to a predetermined coordinate system, and second location information identifying a location of at least one second physical asset housing within the at least one first asset housing. The mechanisms automatically determine third location information identifying a location of at least one computing asset within the at least one second physical asset housing. In addition, the mechanisms generate an asset location map data structure for the organization based on the first, second and third location information. The mechanisms also perform at least one management operation for managing resources of the organization, based on the asset location map data structure for the organization.

公开(公告)号：US20130311406A1

公开(公告)日：2013-11-21

申请号：US13475086

申请日：2012-05-18

申请人： Rajarshi Das ,  Canturk Isci ,  Jeffrey O. Kephart ,  Jonathan Lenchner

发明人： Rajarshi Das ,  Canturk Isci ,  Jeffrey O. Kephart ,  Jonathan Lenchner

IPC分类号： G06N5/02 ,  G06F15/18

CPC分类号： G01J5/0003 ,  G01J2005/0085 ,  G06N3/08

摘要： Methods and apparatus are provided for automated object classification using temperature profiles. An object in an environment (such as an exemplary data center) is classified by obtaining a surface temperature profile of the object; and classifying the object as a particular type of equipment based on the obtained surface temperature profile. The surface temperature profile of the object can be compared to a plurality of predefined characteristic surface temperature profiles each associated with a given type of equipment.

摘要翻译： 提供了使用温度曲线自动对象分类的方法和装置。 环境（例如示例性数据中心）中的对象通过获得对象的表面温度分布来分类; 并根据获得的表面温度曲线将物体分类为特定类型的设备。 可以将物体的表面温度分布与各自与给定类型的设备相关联的多个预定义的特征表面温度曲线进行比较。

公开(公告)号：US20130179226A1

公开(公告)日：2013-07-11

申请号：US13346000

申请日：2012-01-09

申请人： Samuel S. Adams ,  Rajarshi Das ,  Maja Vukovic

发明人： Samuel S. Adams ,  Rajarshi Das ,  Maja Vukovic

IPC分类号： G06Q30/02

CPC分类号： G06Q30/02

摘要： Illustrative embodiments disclose pricing tasks by receiving a request comprising a task and a description of the task and then identifying the type of task based on the description. A pricing module retrieves a condition in a marketplace associated with the type and selects a strategy for pricing based on a rule for the type. The module then generates a price for the task using the strategy, and it adjusts the price based on the condition.

摘要翻译： 说明性实施例通过接收包括任务和任务描述的请求来公开定价任务，然后基于描述来识别任务的类型。 定价模块检索与类型相关联的市场中的条件，并根据类型的规则选择定价策略。 该模块然后使用策略为任务生成价格，并根据条件调整价格。