Capacity-independent demand assessment

    公开(公告)号:US09900402B1

    公开(公告)日:2018-02-20

    申请号:US14565042

    申请日:2014-12-09

    CPC classification number: H04L67/32 H04L41/0896 H04L67/1008 H04L67/26

    Abstract: Systems and methods are described to enable assessment of demand for points of presence (POPs) within a content delivery system, independent of the capacity of such POPs. The content delivery system can utilize load balancing technology to distribute user requests for content to various POPs, based at least partly on the capacity of the POPs. Because load balancing generally occurs prior to a user's connection to a POP, the monitored load of individual POPs may not accurately reflect user demand for the individual POPs services. Accordingly, systems and methods are disclosed to correlate pre-load-balancing requests, such as DNS requests, with post-load-balancing demand levels. Thereafter, the determined correlation can be utilized to assess user demand for individual POPs, independent of the observed load on that individual POP. In some instances, POPs or other network components can be clustered to determine capacity-independent demand for a collection of POPs.

    Management of demand for virtual computing resources

    公开(公告)号:US09898315B1

    公开(公告)日:2018-02-20

    申请号:US14551823

    申请日:2014-11-24

    Abstract: Systems and methods for managing demand for virtual computing resources are disclosed. A demand forecasting service can obtain and analyze historical demand data for purposes of predicting future demand. The analysis includes identifying untargeted demand corresponding to requests for virtual machine instances that can be fulfilled by any availability zone of a set of zones. The demand forecasting service may provide predictions of future demand including information regarding future untargeted demand, thereby enabling efficient allocation of computing resources among various availability zones to meet the future demand.

    Resource planning for computing
    3.
    发明授权
    Resource planning for computing 有权
    计算资源规划

    公开(公告)号:US08880676B1

    公开(公告)日:2014-11-04

    申请号:US14080149

    申请日:2013-11-14

    CPC classification number: G06Q30/0202 G06F9/50 G06F2209/5019

    Abstract: Disclosed are various embodiments for the planning of resources used in computing. Usage statistics regarding one or more virtual machine instances executing in a networked plurality of computing devices are obtained. The usage statistics are grouped, for example, based on one or more customer usage classifications, thereby producing one or more usage groups. A corresponding demand forecast is generated for each of the usage groups. A projected demand for one or more physical components of the networked computing devices is calculated according to the demand forecasts.

    Abstract translation: 公开了用于计算中使用的资源的规划的各种实施例。 获得关于在联网的多个计算设备中执行的一个或多个虚拟机实例的使用统计。 使用统计信息例如基于一个或多个客户使用分类被分组,从而产生一个或多个使用组。 为每个使用组生成相应的需求预测。 根据需求预测计算出对网络计算设备的一个或多个物理组件的预计需求。

    Equipment rack power reduction using virtual machine instance migration

    公开(公告)号:US09874924B1

    公开(公告)日:2018-01-23

    申请号:US14958492

    申请日:2015-12-03

    Inventor: Xiao Yu Li

    Abstract: Systems and methods are directed to migrating virtual machine instances between equipment racks of, for example, a data center such that one or more of the equipment racks can be emptied of all active virtual machine instances. Power then can be reduced or completely shut off the racks emptied of their active virtual machine instances. Cooling for such racks also can be reduced. Energy and costs to operate and cool the racks thus are saved. Such techniques are particular beneficial during periods of reduced network activity (e.g., at night and on weekends). Also, all virtual machine instances running in a particular room of a data center can be migrated to server computers running elsewhere to thereby permit utilities (e.g., power, cooling) to the room to be reduced or shut down completely.

    Management of demand for virtual computing resources

    公开(公告)号:US10430218B2

    公开(公告)日:2019-10-01

    申请号:US15900712

    申请日:2018-02-20

    Abstract: Systems and methods for managing demand for virtual computing resources are disclosed. A demand forecasting service can obtain and analyze historical demand data for purposes of predicting future demand. The analysis includes identifying untargeted demand corresponding to requests for virtual machine instances that can be fulfilled by any availability zone of a set of zones. The demand forecasting service may provide predictions of future demand including information regarding future untargeted demand, thereby enabling efficient allocation of computing resources among various availability zones to meet the future demand.

    MANAGEMENT OF DEMAND FOR VIRTUAL COMPUTING RESOURCES

    公开(公告)号:US20180246744A1

    公开(公告)日:2018-08-30

    申请号:US15900712

    申请日:2018-02-20

    Abstract: Systems and methods for managing demand for virtual computing resources are disclosed. A demand forecasting service can obtain and analyze historical demand data for purposes of predicting future demand. The analysis includes identifying untargeted demand corresponding to requests for virtual machine instances that can be fulfilled by any availability zone of a set of zones. The demand forecasting service may provide predictions of future demand including information regarding future untargeted demand, thereby enabling efficient allocation of computing resources among various availability zones to meet the future demand.

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