CN109314677B - 用于利用阶段驻留数据管理资源分配的技术 - Google Patents
用于利用阶段驻留数据管理资源分配的技术 Download PDFInfo
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Abstract
用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的技术包括协调器服务器,其用于接收资源分配目标数据并确定在受管理节点之间对一组工作负载的指派。协调器服务器还用于从受管理节点接收遥测数据,根据遥测数据确定阶段驻留数据,至少根据阶段驻留数据和资源分配目标数据确定对工作负载的指派的调整,以增加资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度,以及在工作负载被执行时将调整应用于在受管理节点之间对工作负载的指派。
Description
相关申请的交叉引用
本申请要求享有以下申请的优先权:2016年12月30日提交的题为“TECHNOLOGIESFOR MANAGING RESOURCE ALLOCATION WITH PHASE RESIDENCY DATA”的美国实用专利申请第15/395,494号,该申请要求享有2016年7月22日提交的美国临时专利申请第62/365,969号的优先权;2016年8月18日提交的美国临时专利申请第62/376,859号;以及2016年11月29日提交的美国临时专利申请第62/427,268号。
背景技术
在典型的基于云的计算环境(例如,数据中心)中,多个计算节点可以代表客户执行工作负载(例如,进程、应用、服务等)。典型地,工作负载中的一些可能具有与其他工作负载不同的资源利用率特性,因为工作负载执行差异操作(例如,与高存储器利用率以执行数据取回功能(例如,执行数据库搜索或流送媒体)相比,高处理器利用率以执行数据加密或解密)。此外,虽然工作负载通常可以通过普遍类型的资源利用率来表征,但是工作负载可能随着时间而在其资源利用率方面表现出一定量的可变性,例如,通过最初使用相对大量的处理器容量,然后转换到较低处理器使用和较高存储器使用,然后在返回高处理器利用率时段之前转换到相对较低的资源利用率时段。因此,对于数据中心的管理员,将工作负载指派给各种计算节点可能是令人沮丧且困难的任务,因为在计算节点之间对工作负载的初始指派仅在由相同计算节点执行的工作负载经历对资源中的一个或多个资源的争用(例如,两个工作负载同时请求高处理器利用率)之前的短暂时间段内有效。为了防止此类资源争用,管理员可以跨更多计算节点散布工作负载,或者为计算节点配备附加的硬件。然而,跨附加硬件分发工作负载会导致在工作负载的低资源利用率阶段增加费用和未使用的资源容量。
附图说明
本文描述的概念在附图中通过示例的方式而非通过限制的方式示出。为了说明的简单和清楚,附图中示出的元素不一定按比例绘制。在认为适当的情况下,在附图中重复附图标记以指示对应或类似的元素。
图1是根据各种实施例的其中可以实现本文中描述的一种或多种技术的数据中心的概念性概述的图;
图2是图1的数据中心的机架的逻辑配置的示例实施例的图;
图3是根据各种实施例的其中可以实现本文中描述的一种或多种技术的另一数据中心的示例实施例的图;
图4是根据各种实施例的其中可以实现本文中描述的一种或多种技术的数据中心的另一示例实施例的图;
图5是表示可以在图1、图3和图4的数据中心的各种托架(sled)之间建立的链路层连接的连接方案的图;
图6是根据一些实施例的可以表示图1-4中描绘的机架中的任何特定的一个机架的架构的机架架构的图;
图7是可以与图6的机架架构一起使用的托架的示例实施例的图;
图8是用于对以扩展能力为特征的托架提供支持的机架架构的示例实施例的图;
图9是根据图8的机架架构实现的机架的示例实施例的图;
图10是设计用于与图9的机架结合使用的托架的示例实施例的图;
图11是根据各种实施例的其中可以实现本文中描述的一种或多种技术的数据中心的示例实施例的图;
图12是用于基于工作负载的资源利用率阶段驻留来管理在一组受管理节点之间对工作负载的指派的系统的至少一个实施例的简化框图;
图13是图12的系统的协调器服务器的至少一个实施例的简化框图;
图14是可以由图12和图13的协调器服务器建立的环境的至少一个实施例的简化框图;以及
图15-17是可以由图12-14的协调器服务器执行的、用于基于工作负载资源利用率阶段驻留来在一组受管理节点之间指派工作负载的方法的至少一个实施例的简化流程图。
具体实施方式
虽然本公开的概念易于具有各种修改和替代形式,但是其具体实施例已经通过示例的方式在附图中示出并且将在本文中详细描述。然而,应理解,并不旨在将本公开的概念限制于所公开的特定形式,而是相反,意图是覆盖与本公开和所附权利要求一致的所有修改、等同物和替代方案。
说明书中对“一个实施例”、“实施例”、“说明性实施例”等的引用指示所描述的实施例可以包括特定特征、结构或特性,但是每个实施例可以一定或可以不一定包括该特定特征、结构或特性。此外,这些短语不一定指代同一实施例。此外,当结合实施例描述特定特征、结构或特性时,认为结合其他实施例实现这样的特征、结构或特性在本领域技术人员的知识范围内,而无论是否未明确描述。另外,应理解,以“至少一个A、B和C”的形式包括在列表中的项目可以表示(A);(B);(C);(A和B);(A和C);(B和C);或(A、B和C)。类似地,以“A、B或C中的至少一个”的形式列出的项目可以表示(A);(B);(C);(A和B);(A和C);(B和C);或(A、B和C)。
在一些情况下,所公开的实施例可以以硬件、固件、软件或其任何组合来实现。所公开的实施例还可以实现为由暂时性或非暂时性机器可读(例如,计算机可读)存储介质携带或存储在其上的指令,这些指令可以由一个或多个处理器读取和执行。机器可读存储介质可以体现为用于以机器可读形式存储或传输信息的任何存储设备、机构或其他物理结构(例如,易失性或非易失性存储器、介质盘或其他介质设备)。
在附图中,可以以特定布置和/或排序示出一些结构或方法特征。然而,应理解,可能不要求这样的特定布置和/或排序。而是,在一些实施例中,这些特征可以以不同于说明性附图中所示的方式和/或顺序来布置。另外,在特定附图中包含结构或方法特征并不意味着暗示在所有实施例中都要求这样的特征,并且在一些实施例中,可以不包括这些特征或者可以将这些特征与其他特征组合。
图1示出了根据各种实施例的数据中心100的概念性概述,该数据中心100通常可以表示其中/对其而言可以实现本文中描述的一种或多种技术的数据中心或其他类型的计算网络。如图1所示,数据中心100通常可以包含多个机架,其中的每个机架可以存放包括相应的一组物理资源的计算设备。在图1中描绘的特定非限制性示例中,数据中心100包含四个机架102A至102D,其存放包括相应的各组物理资源(PCR)105A至105D的计算设备。根据该示例,数据中心100的共同的一组物理资源106包括分布在机架102A至102D之间的各组物理资源105A至105D。物理资源106可以包括多种类型的资源,例如,处理器、协处理器、加速器、现场可编程门阵列(FPGA)、存储器和存储装置。实施例不限于这些示例。
说明性数据中心100在许多方面不同于典型的数据中心。例如,在说明性实施例中,其上放置诸如CPU、存储器和其他组件之类的组件的电路板(“托架”)被设计用于提高的热性能。特别地,在说明性实施例中,托架比典型的板浅。换言之,托架从前到后更短,冷却风扇位于其中。这减少了空气必须穿过板上的组件的路径的长度。此外,托架上的组件与典型的电路板相比间隔得更远,并且这些组件被布置为减少或消除遮蔽(即,一个组件在另一组件的空气流动路径中)。在说明性实施例中,诸如处理器之类的处理组件位于托架的顶侧,而诸如DIMM之类的附近存储器位于托架的底侧。由于该设计提供的增强的空气流动,组件可以以比典型系统高的频率和功率水平操作,从而提高性能。此外,托架被配置为与每个机架102A、102B、102C、102D中的电力和数据通信电缆盲配合,增强了机架被快速移除、升级、重新安装和/或更换的能力。类似地,位于托架上的个体组件(例如,处理器、加速器、存储器和数据存储驱动器)被配置为由于其彼此间隔增加而容易升级。在说明性实施例中,组件另外包括硬件证实特征以证明其真实性。
此外,在说明性实施例中,数据中心100利用支持多个其他网络架构(包括以太网和Omni-Path)的单个网络架构(“结构”)。在说明性实施例中,托架经由光纤耦合到交换机,光纤相比典型的双绞线布线(例如,类别5、类别5e、类别6等)提供更高的带宽和更低的延迟。由于高带宽、低延迟互连和网络架构,数据中心100可以在使用中将物理地分解的资源(例如,存储器、加速器(例如,图形加速器、FPGA、ASIC等)以及数据存储驱动器)池化,并且基于需要将其提供给计算资源(例如,处理器),使得计算资源能够访问池化的资源,就好像这些资源在本地一样。说明性数据中心100另外接收各种资源的使用情况信息,基于过去的资源使用情况来预测不同类型的工作负荷的资源使用情况,并且基于该信息来动态地重新分配资源。
数据中心100的机架102A、102B、102C、102D可以包括促进将各种类型的维护任务自动化的物理设计特征。例如,数据中心100可以使用这样的机架来实现:这些机架被设计为是机器人化地访问的并且接受和存放可机器人化地操纵的资源托架。此外,在说明性实施例中,机架102A、102B、102C、102D包括集成电源,其接收比对电源而言典型的电压更大的电压。增加的电压使得电源能够向每个托架上的组件提供附加的电力,使得组件能够以高于典型频率的频率进行操作。
图2示出了数据中心100的机架202的示例性逻辑配置。如图2所示,机架202通常可以存放多个托架,其中的每个托架可以包括相应的一组物理资源。在图2中描绘的特定非限制性示例中,机架202存放包括相应的各组物理资源205-1至205-4的托架204-1至204-4,这些物理资源中的每个构成机架202中包括的共同的一组物理资源206的一部分。关于图1,如果机架202表示例如机架102A,则物理资源206可以对应于机架102A中包括的物理资源105A。在该示例的上下文中,物理资源105A因此可以由相应的各组物理资源组成,包括包含在机架202的托架204-1至204-4中的物理存储装置资源205-1、物理加速器资源205-2、物理存储器资源205-3和物理计算资源205-5。实施例不限于此示例。每个托架可以包含各种类型的物理资源(例如,计算、存储器、加速器、存储装置)中的每种类型的物理资源的池。通过使可机器人化地访问和可机器人化地操纵的托架包括分解的资源,每种类型的资源能够彼此独立地并且以其自己的优化刷新速率进行升级。
图3示出了根据各种实施例的数据中心300的示例,该数据中心300通常可以表示其中/对其而言可以实现本文中描述的一种或多种技术的数据中心。在图3中描绘的特定非限制性示例中,数据中心300包括机架302-1至302-32。在各种实施例中,数据中心300的机架可以以限定和/或容纳各种访问路径的方式来布置。例如,如图3所示,数据中心300的机架可以以限定和/或容纳访问路径311A、311B、311C和311D的方式来布置。在一些实施例中,这种访问路径的存在通常可以使得自动化维护设备(例如,机器人化维护设备)能够物理地访问存放在数据中心300的各种机架中的计算设备并执行自动化维护任务(例如,替换故障的托架,升级托架)。在各种实施例中,可以选择访问路径311A、311B、311C和311D的尺寸,机架302-1至302-32的尺寸和/或数据中心300的物理布局的一个或多个其他方面,以促进这种自动化操作。实施例不限于此上下文。
图4示出了根据各种实施例的数据中心400的示例,该数据中心400通常可以表示其中/对其而言可以实现本文中描述的一种或多种技术的数据中心。如图4所示,数据中心400可以以光结构412为特征。光结构412通常可以包括光信令介质(例如,光布线)和光交换基础设施的组合,数据中心400中的任何特定托架可以经由其向数据中心400中的其他托架中的每个托架发送信号(并且从数据中心400中的其他托架中的每个托架接收信号)。光结构412向任何给定托架提供的信令连接可以包括到同一机架中的其他托架和其他机架中的托架的连接。在图4中描绘的特定非限制性示例中,数据中心400包括四个机架402A至402D。机架402A至402D存放相应的托架对404A-1和404A-2、404B-1和404B-2、404C-1和404C-2以及404D-1和404D-2。因此,在该示例中,数据中心400包括总共八个托架。经由光结构412,每个这样的托架可以具有与数据中心400中的七个其他托架中的每个托架的信令连接。例如,经由光结构412,机架402A中的托架404A-1可以具有与机架402A中的托架404A-2以及分布在数据中心400的其他机架402B、402C和402D之间的六个其他托架404B-1、404B-2、404C-1、404C-2、404D-1和404D-2的信令连接。实施例不限于此示例。
图5示出了连接方案500的概述,该连接方案500通常可以表示在一些实施例中可以在数据中心(例如,图1、图3和图4的示例数据中心100、300和400中的任何一个)的各种托架之间建立的链路层连接。可以使用以双模光交换基础设施514为特征的光结构来实现连接方案500。双模光交换基础设施514通常可以包括能够根据多个链路层协议经由相同统一的一组光信令介质接收通信并且适当地交换这种通信的交换基础设施。在各种实施例中,可以使用一个或多个双模光交换机515来实现双模光交换基础设施514。在各种实施例中,双模光交换机515通常可以包括高基数交换机。在一些实施例中,双模光交换机515可以包括多层交换机,例如,四层交换机。在各种实施例中,双模光交换机515可以以集成硅光子为特征,与常规交换设备相比,使得双模光交换机515能够以显著减少的延迟交换通信。在一些实施例中,双模光交换机515可以以叶-脊架构构成叶交换机530,另外包括一个或多个双模光脊交换机520。
在各种实施例中,双模光交换机能够经由光结构的光信令介质接收携带互联网协议(IP分组)的以太网协议通信和根据第二、高性能计算(HPC)链路层协议(例如,Intel的Omni-Path架构,Infiniband)的通信两者。如图5关于具有与光结构的光信令连接的任何特定托架对504A和504B所反映的,连接方案500因此可以经由以太网链路和HPC链路两者对链路层连接提供支持。因此,单个高带宽、低延迟交换结构可以支持以太网通信和HPC通信两者。实施例不限于此示例。
图6示出了根据一些实施例的机架架构600的总体概述,该机架架构600可以表示图1至图4中描绘的机架中的任何特定的一个机架的架构。如图6所反映的,机架架构600通常可以以多个托架空间为特征,托架可以插入托架空间中,托架空间中的每个可以是经由机架访问区域601可机器人化地访问的。在图6中描绘的特定非限制性示例中,机架架构600以五个托架空间603-1至603-5为特征。托架空间603-1至603-5以相应的多目的连接器模块(MPCM)616-1至616-5为特征。
图7示出了托架704的示例,托架704可以表示这种类型的托架。如图7所示,托架704可以包括一组物理资源705以及MPCM 716,MPCM 716被设计为当托架704插入托架空间(例如,图6中的托架空间603-1至603-5中的任一个)时与配对MPCM耦合。托架704还可以以扩展连接器717为特征。扩展连接器717通常可以包括插口、槽或其他类型的连接元件,其能够接受一种或多种类型的扩展模块(例如,扩展托架718)。通过与扩展托架718上的配对连接器耦合,扩展连接器717可以为物理资源705提供对驻留在扩展托架718上的补充计算资源705B的访问。实施例不限于此上下文。
图8示出了机架架构800的示例,该机架架构800可以表示可以被实现以便对以扩展能力为特征的托架(例如,图7的托架704)提供支持的机架架构。在图8中描绘的特定非限制性示例中,机架架构800包括七个托架空间803-1至803-7,其以相应的MPCM 816-1至816-7为特征。托架空间803-1至803-7包括相应的主区域803-1A至803-7A和相应的扩展区域803-1B至803-7B。关于每个这样的托架空间,当对应的MPCM与插入的托架的配对MPCM耦合时,主区域通常可以构成托架空间中的物理地容纳插入的托架的区域。在插入的托架配置有扩展模块的情况下,扩展区域通常可以构成托架空间中的可以物理地容纳这种模块(例如,图7的扩展托架718)的区域。
图9示出了根据一些实施例的机架902的示例,该机架902可以表示根据图8的机架架构800实现的机架。在图9中描绘的特定非限制性示例中,机架902以七个托架空间903-1至903-7为特征,其包括相应的主区域903-1A至903-7A和相应的扩展区域903-1B至903-7B。在各种实施例中,可以使用空气冷却系统来实现机架902中的温度控制。例如,如图9中所反映的,机架902可以以多个风扇919为特征,多个风扇919通常布置为在各种托架空间903-1至903-7内提供空气冷却。在一些实施例中,托架空间的高度大于常规的“1U”服务器高度。在这样的实施例中,与常规机架配置中使用的风扇相比,风扇919通常可以包括相对慢的大直径冷却风扇。相对于以较高速度运行的较小直径的冷却风扇,以较低速度运行较大直径的冷却风扇可以增加风扇寿命,同时仍提供相同的冷却量。托架比常规的机架尺寸物理地更浅。此外,在每个托架上布置组件以减少热遮蔽(即,没有沿空气流动方向串联地布置)。因此,更宽、更浅的托架允许提高设备性能,因为由于改进的冷却,设备可以在更高的热封套(例如,250W)下操作(即,没有热遮蔽,设备之间有更多空间,对于较大的散热器有更多余地等)。
MPCM 916-1至916-7可以被配置为向插入的托架提供对由相应的电力模块920-1至920-7源送的电力的访问,其中的每个电力模块可以从外部电源921汲取电力。在各种实施例中,外部电源921可以向机架902输送交流(AC)电力,并且电力模块920-1至920-7可以被配置为将这种AC电力转换为直流(DC)电力以供源送至插入的托架。在一些实施例中,例如,电力模块920-1至920-7可以被配置为将277伏AC电力转换为12伏DC电力,以经由相应的MPCM 916-1至916-7提供给插入的托架。实施例不限于此示例。
MPCM 916-1至916-7还可以布置为向插入的托架提供与双模光交换基础设施914的光信令连接,双模光交换基础设施914可以与图5的双模光交换基础设施514相同或类似。在各种实施例中,包含在MPCM 916-1至916-7中的光连接器可以被设计为与插入的托架的MPCM中包含的配对光连接器耦合,以经由相应长度的通过光布线922-1至922-7向这种托架提供与双模光交换基础设施914的光信令连接。在一些实施例中,每个这种长度的光布线可以从其对应的MPCM延伸到在机架902的托架空间外部的光互连织机923。在各种实施例中,光互连织机923可以布置为穿过机架902的支撑柱或其他类型的负载承载元件。实施例不限于此上下文。由于插入的托架经由MPCM连接到光交换基础设施,因此可以节省典型地耗费在手动配置机架布线以容纳新插入的托架方面的资源。
图10示出了根据一些实施例的托架1004的示例,该托架1004可以表示设计用于与图9的机架902结合使用的托架。托架1004可以以MPCM 1016为特征,MPCM 1016包括光连接器1016A和电力连接器1016B,并且被设计为与将MPCM 1016插入到托架空间中相结合而与托架空间的配对MPCM耦合。将MPCM 1016与这样的配对MPCM耦合可以使电力连接器1016与配对MPCM中包括的电力连接器耦合。这通常可以使得托架1004的物理资源1005能够经由电力连接器1016和电力传输介质1024从外部源来源送电力,电力传输介质1024将电力连接器1016导通地耦合到物理资源1005。
托架1004还可以包括双模光网络接口电路1026。双模光网络接口电路1026通常可以包括能够根据图9的双模光交换基础设施914支持的多个链路层协议中的每个链路层协议通过光信令介质进行通信的电路。在一些实施例中,双模光网络接口电路1026能够进行以太网协议通信和根据第二、高性能协议的通信两者。在各种实施例中,双模光网络接口电路1026可以包括一个或多个光收发器模块1027,其中的每个光收发器模块1027能够通过一个或多个光通道中的每个光通道发送和接收光信号。实施例不限于此上下文。
将MPCM 1016与给定机架中的托架空间的配对MPCM耦合可以使光连接器1016A与配对MPCM中包括的光连接器耦合。这通常可以经由一组光通道1025中的每个光通道1025在托架的光布线与双模光网络接口电路1026之间建立光连接。双模光网络接口电路1026可以经由电信令介质1028与托架1004的物理资源1005进行通信。除了托架的尺寸和组件在托架上的布置用于提供改进的冷却并且使得能够在相对较高的热封套(例如,250W)下操作之外,如上面参考图9描述的,在一些实施例中,托架可以包括一个或多个附加特征以促进空气冷却,例如,布置为消散由物理资源1005产生的热量的热管和/或散热器。值得注意的是,尽管图10中所描绘的示例托架1004不以扩展连接器为特征,但是根据一些实施例以托架1004的设计元素为特征的任何给定托架也可以以扩展连接器为特征。实施例不限于此上下文。
图11示出了根据各种实施例的数据中心1100的示例,该数据中心1100通常可以表示其中/对其而言可以实现本文中描述的一种或多种技术的数据中心。如图11所反映的,可以实现物理基础设施管理框架1150A以促进管理数据中心1100的物理基础设施1100A。在各种实施例中,物理基础设施管理框架1150A的一个功能可以是管理数据中心1100内的自动化维护功能,例如,使用机器人化的维护设备来对物理基础设施1100A内的计算设备进行检修。在一些实施例中,物理基础设施1100A可以以高级遥测系统为特征,该高级遥测系统执行足够鲁棒以支持对物理基础设施1100A的远程自动化管理的遥测报告。在各种实施例中,由这种高级遥测系统提供的遥测信息可以支持诸如故障预测/预防能力和容量规划能力之类的特征。在一些实施例中,物理基础设施管理框架1150A还可以被配置为使用硬件证实技术来管理对物理基础设施组件的认证。例如,机器人可以在安装之前通过分析从与要安装的每个组件相关联的射频识别(RFID)标签收集的信息来验证组件的真实性。实施例不限于此上下文。
如图11所示,数据中心1100的物理基础设施1100A可以包括光结构1112,其可以包括双模光交换基础设施1114。光结构1112和双模光交换基础设施1114可以分别与图4的光结构412和图5的双模光交换基础设施514相同或类似,并且可以在数据中心1100的托架之间提供高带宽、低延迟、多协议连接。如上面参考图1讨论的,在各种实施例中,这种连接的可用性可以使得分解和动态地池化诸如加速器、存储器和存储装置之类的资源可行。在一些实施例中,例如,一个或多个池化加速器托架1130可以包括在数据中心1100的物理基础设施1100A之间,其中的每个池化加速器托架1130可以包括经由光结构1112和双模光交换基础设施1114而其他托架可全局访问的、加速器资源(例如,协处理器和/或FPGA)的池。
在另一示例中,在各种实施例中,一个或多个池化存储托架1132可以包括在数据中心1100的物理基础设施1100A之间,其中的每个池化存储托架1132可以包括经由光结构1112和双模光交换基础设施1114而可供其他托架全局访问的、存储资源的池。在一些实施例中,这种池化存储托架1132可以包括诸如固态驱动器(SSD)之类的固态存储设备的池。在各种实施例中,一个或多个高性能处理托架1134可以包括在数据中心1100的物理基础设施1100A之间。在一些实施例中,高性能处理托架1134可以包括高性能处理器的池,以及增强空气冷却以产生高达250W或更高的较高热封套的冷却特征。在各种实施例中,任何给定的高性能处理托架1134可以以扩展连接器1117为特征,该扩展连接器1117可以接受远存储器扩展托架,使得该高性能处理托架1134本地可用的远存储器从包括在该托架上的处理器和附近存储器分解。在一些实施例中,这样的高性能处理托架1134可以使用包括低延迟SSD存储装置的扩展托架而配置有远存储器。光基础设施允许一个托架上的计算资源利用远程加速器/FPGA、存储器和/或SSD资源,这些资源在位于数据中心中的相同机架或任何其他机架上的托架上分解。远程资源可以位于上面参考图5描述的脊-叶网络架构中的一次交换机跳跃外或两次交换机跳跃外。实施例不限于此上下文。
在各种实施例中,可以将一个或多个抽象层应用于物理基础设施1100A的物理资源,以便定义虚拟基础设施,例如,软件定义的基础设施1100B。在一些实施例中,可以分配软件定义的基础设施1100B的虚拟计算资源1136以支持云服务1140的提供。在各种实施例中,可以将特定的各组虚拟计算资源1136分组以供以SDI服务1138的形式提供给云服务1140。云服务1140的示例可以包括但不限于软件即服务(SaaS)服务1142、平台即服务(PaaS)服务1144以及基础设施即服务(IaaS)服务1146。
在一些实施例中,可以使用虚拟基础设施管理框架1150B来进行对软件定义的基础设施1100B的管理。在各种实施例中,虚拟基础设施管理框架1150B可以被设计为与管理将虚拟计算资源1136和/或SDI服务1138分配给云服务1140相结合地实现工作负载指纹识别技术和/或机器学习技术。在一些实施例中,虚拟基础设施管理框架1150B可以与执行这样的资源分配相结合地使用/咨询遥测数据。在各种实施例中,可以实现应用/服务管理框架1150C以便为云服务1140提供QoS管理能力。实施例不限于此上下文。
如图12所示,用于基于工作负载的资源利用率阶段驻留在一组受管理节点1260之间指派工作负载的说明性系统1210包括与该组受管理节点1260通信的协调器服务器1240。每个受管理节点1260可以体现为资源(例如,物理资源206)的组装件,例如,计算资源(例如,物理计算资源205-4)、存储资源(例如,物理存储资源205-1)、加速器资源(例如,物理加速器资源205-2)或来自相同或不同的托架(例如,托架204-1、204-2、204-3、204-4等)或机架(例如,机架302-1至302-32中的一个或多个)的其他资源(例如,物理存储器资源205-3)。每个受管理节点1260可以在工作负载被指派给受管理节点1260时或者在任何其他时间由协调器服务器1240建立、定义或“旋转”,并且可以不管当前是否有任何工作负载指派给受管理节点1260而存在。系统1210可以根据上面参考图1、图3、图4和图11描述的数据中心100、300、400、1100来实现。在说明性实施例中,该组受管理节点1260包括受管理节点1250、1252和1254。虽然在该组中示出了三个受管理节点1260,但是应理解,在其他实施例中,该组可以包括不同数量的受管理节点1260(例如,数万个)。系统1210可以位于数据中心中,并且向通过网络1230与系统1210通信的客户端设备1220提供存储和计算服务(例如,云服务)。协调器服务器1240可以支持诸如OpenStack之类的云操作环境,并且受管理节点1250可以代表客户端设备1220的用户例如在虚拟机或容器中执行一个或多个应用或进程(即,工作负载)。如本文更详细地讨论的,在操作中,协调器服务器1240被配置为接收指示在执行工作负载期间要满足的阈值或目的(“目标”)的资源分配目标数据(例如,目标功率使用,执行工作负载的目标速度,受管理节点1260的目标温度等)。另外,协调器服务器1240被配置为将工作负载指派给受管理节点1260并接收遥测数据,遥测数据可以体现为指示当受管理节点1260执行指派给它们的工作负载时每个受管理节点1260的性能和状况的数据。
另外,在说明性实施例中,协调器服务器1240被配置为分析遥测数据并识别工作负载的资源利用率阶段。资源利用率阶段可以体现为工作负载使用受管理节点1260的组件(“资源”)的至少阈值量的容量(例如,80%)的时间段。此外,在说明性实施例中,协调器服务器1240被配置为确定阶段驻留数据,其可以体现为针对每个工作负载指示每个资源利用率阶段的时间长度以及每个资源利用率阶段的类型(例如,在阈值量之上利用的一个或多个组件)的数据。在说明性实施例中,阶段驻留数据表示工作负载的“指纹”,其可以由协调器服务器1240用于将每个工作负载分配给受管理节点1260中的一个受管理节点1260,以增加每个受管理节点1260中的资源的利用率,同时减少资源争用的可能性。协调器服务器1240还被配置为确定对在受管理节点1260之间对工作负载的指派的潜在调整是否将增加资源分配目标中的一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度。在说明性实施例中,资源分配目标的实现度是来自一个或多个受管理节点1260的测量值满足与资源分配目标相关联的目标值的程度。因此,在说明性实施例中,增加实现度意味着降低测量值(例如,受管理节点1260的操作温度)与目标值(例如,目标操作温度)之间的误差(例如,差值)。相反,降低实现度意味着增加测量值与目标值之间的误差(例如,差值)。
通过不断地对工作负载向受管理节点1260的指派进行这样的调整,协调器服务器1240重复地进行“Pareto改进”,直到协调器服务器1240确定在不会不利地影响资源分配目标中的一个或多个的实现度的情况下不能进行进一步的调整为止(“Pareto高效”资源分配)。
现在参考图13,协调器服务器1240可以体现为能够执行本文描述的以下功能的任何类型的计算设备:包括发出使云服务被执行的请求,接收云服务的结果,将工作负载指派给计算设备,分析指示工作负载被执行时的性能和状况(例如,资源利用率、一个或多个温度、风扇速度等)的遥测数据,确定工作负载的资源利用率阶段驻留,预测工作负载的未来资源利用率,以及将工作负载的指派调整为对准资源利用率阶段并且在工作负载被执行时管理多个资源分配目标的实现度。例如,协调器服务器1240可以体现为计算机、分布式计算系统、一个或多个托架(例如,托架204-1、204-2、204-3、204-4等)、服务器(例如,独立式、机架安装式、刀片式等)、多处理器系统、网络设备(例如,物理的或虚拟的)、台式计算机、工作站、膝上型计算机、笔记本计算机、基于处理器的系统或网络设备。如图13所示,说明性协调器服务器1240包括中央处理单元(CPU)1302、主存储器1304、输入/输出(I/O)子系统1306、通信电路1308以及一个或多个数据存储设备1312。当然,在其他实施例中,协调器服务器1240可以包括其他或附加的组件,例如,通常在计算机中发现的组件(例如,显示器、外围设备等)。另外,在一些实施例中,说明性组件中的一个或多个可以并入另一组件中,或者以其他方式形成另一组件的一部分。例如,在一些实施例中,主存储器1304或其部分可以并入CPU 1302中。
CPU 1302可以体现为能够执行本文描述的功能的任何类型的处理器。CPU 1302可以体现为(多个)单核心或多核心处理器、微控制器或其他处理器或处理/控制电路。在一些实施例中,CPU 1302可以体现为、包括或耦合到现场可编程门阵列(FPGA)、专用集成电路(ASIC)、可重新配置的硬件或硬件电路或用于促进本文描述的功能的执行的其他专用硬件。如上面讨论的,受管理节点1260可以包括跨多个托架分布的资源,并且在这样的实施例中,CPU 1302可以包括位于相同托架或不同托架上的其部分。类似地,主存储器1304可以体现为能够执行本文描述的功能的任何类型的易失性存储器或数据存储装置(例如,动态随机存取存储器(DRAM)等)或非易失性存储器或数据存储装置。在一些实施例中,主存储器1304的全部或一部分可以集成到CPU 1302中。在操作中,主存储器1304可以存储在操作期间使用的各种软件和数据,例如,遥测数据、资源分配目标数据、工作负载标签、工作负载分类、阶段驻留数据、工作负载调整数据、操作系统、应用、程序、库以及驱动程序。如上面讨论的,受管理节点1260可以包括跨多个托架分布的资源,并且在这样的实施例中,主存储器1304可以包括位于相同托架或不同托架上的其部分。
I/O子系统1306可以体现为用于促进与CPU 1302、主存储器1304和协调器服务器1240的其他组件的输入/输出操作的电路和/或组件。例如,I/O子系统1306可以体现为或以其他方式包括存储器控制器中心、输入/输出控制中心、集成传感器中心、固件设备、通信链路(例如,点对点链路、总线链路、电线、电缆、光导、印刷电路板迹线等)和/或用于促进输入/输出操作的其他组件和子系统。在一些实施例中,I/O子系统1306可以形成片上系统(SoC)的一部分,并且与CPU 1302、主存储器1304和协调器服务器1240的其他组件中的一个或多个一起合并在单个集成电路芯片上。
通信电路1308可以体现为能够通过协调器服务器1240与另一计算设备(例如,客户端设备1220和/或受管理节点1260)之间的网络1230实现通信的任何通信电路、设备或其集合。通信电路1308可以被配置为使用任何一种或多种通信技术(例如,有线通信或无线通信)和相关联的协议(例如,以太网、WiMAX等)来实现这种通信。
说明性通信电路1308包括网络接口控制器(NIC)1310,其也可以称为主机结构接口(HFI)。NIC 1310可以体现为一个或多个插件板、子卡、网络接口卡、控制器芯片、芯片组,或可以由协调器服务器1240用来与另一计算设备(例如,客户端设备1220和/或受管理节点1260)连接的其他设备。在一些实施例中,NIC 1310可以体现为包括一个或多个处理器的片上系统(SoC)的一部分,或者包括在还包含一个或多个处理器的多芯片封装上。在一些实施例中,NIC 1310可以包括本地处理器(未示出)和/或本地存储器(未示出),这两者都在NIC1310本地。在这样的实施例中,NIC1310的本地处理器能够执行本文描述的CPU 1302的功能中的一个或多个功能。另外或可替代地,在这样的实施例中,NIC 1310的本地存储器可以在板级、插座级、芯片级和/或其他级别集成到协调器服务器1240的一个或多个组件中。如上面讨论的,受管理节点1260可以包括跨多个托架分布的资源,并且在这样的实施例中,通信电路1308可以包括位于相同托架或不同托架上的其部分。
一个或多个说明性数据存储设备1312可以体现为被配置用于短期或长期存储数据的任何类型的设备,例如,存储器设备和电路、存储器卡、硬盘驱动器、固态驱动器或其他数据存储设备。每个数据存储设备1312可以包括存储用于数据存储设备1312的数据和固件代码的系统分区。每个数据存储设备1312还可以包括存储用于操作系统的数据文件和可执行文件的操作系统分区。
另外,协调器服务器1240可以包括显示器1314。显示器1314可以体现为或以其他方式使用任何合适的显示技术,包括例如液晶显示器(LCD)、发光二极管(LED)显示器、阴极射线管(CRT)显示器、等离子显示器和/或可用于计算设备的其他显示器。显示器1314可以包括触摸屏传感器,其使用任何合适的触摸屏输入技术来检测用户对显示器上显示的信息的触觉选择,包括但不限于电阻式触摸屏传感器、电容式触摸屏传感器、表面声波(SAW)触摸屏传感器、红外触摸屏传感器、光学成像触摸屏传感器、声学触摸屏传感器和/或其他类型的触摸屏传感器。
另外或可替代地,协调器服务器1240可以包括一个或多个外围设备1316。这样的外围设备1316可以包括通常在计算设备中发现的任何类型的外围设备,例如,扬声器、鼠标、键盘和/或其他输入/输出设备、接口设备和/或其他外围设备。
客户端设备1220和受管理节点1260可以具有与图13中描述的组件类似的组件。对协调器服务器1240的那些组件的描述同样适用于对客户端设备1220和受管理节点1260的组件的描述,并且为了描述的清楚起见,本文中不再重复。此外,应理解,客户端设备1220和受管理节点1260中的任一个可以包括通常在计算设备中发现的其他组件、子组件和设备,为了描述的清楚起见,这些组件、子组件和设备未在上面参考协调器服务器1240讨论并且未在本文中讨论。
如上面描述的,客户端设备1220、协调器服务器1240和受管理节点1260说明性地经由网络1230进行通信,网络1230可以体现为任何类型的有线或无线通信网络,包括全球网络(例如,互联网)、局域网(LAN)或广域网(WAN)、蜂窝网络(例如,全球移动通信系统(GSM)、3G、长期演进(LTE)、全球微波接入互操作性(WiMAX)等)、数字订户线(DSL)网络、有线网络(例如,同轴网络、光纤网络等),或其任何组合。
现在参考图14,在说明性实施例中,协调器服务器1240可以在操作期间建立环境1400。说明性环境1400包括网络通信器1420、遥测监视器1430和资源管理器1440。环境1400的组件中的每个组件可以体现为硬件、固件、软件或其组合。因此,在一些实施例中,环境1400的组件中的一个或多个组件可以体现为电路或电子设备的集合(例如,网络通信器电路1420、遥测监视器电路1430、资源管理器电路1440等)。应理解,在这样的实施例中,网络通信器电路1420、遥测监视器电路1430或资源管理器电路1440中的一个或多个可以形成CPU 1302、主存储器1304、I/O子系统1306和/或协调器服务器1240的其他组件中的一个或多个的一部分。在说明性实施例中,环境1400包括遥测数据1402,其可以体现为指示当受管理节点1260执行指派给它们的工作负载时每个受管理节点1260的性能和状况(例如,资源利用率、操作频率、功率使用、一个或多个温度、风扇速度等)的数据。另外,说明性环境1400包括资源分配目标数据1404,其指示在执行工作负载期间要满足的用户定义的阈值或目的(“目标”)。在说明性实施例中,目标与受管理节点1260的组件的功率消耗、寿命预期、热量产生和性能有关。此外,说明性环境1400包括工作负载标签1406,其可以体现为唯一地识别由受管理节点1260执行的每个工作负载的任何标识符(例如,进程号、可执行文件名称、字母数字标签等)。另外,说明性环境1400包括工作负载分类1408,其可以体现为指示每个工作负载的一般资源利用率趋势(例如,处理器密集型、存储器密集型、网络带宽密集型等)的任何数据。
在说明性实施例中,协调器服务器1240还包括阶段驻留数据1410,其可以体现为指示每个工作负载的资源利用率阶段的时间段和模式的任何数据。如上面描述的,资源利用率阶段可以体现为工作负载使用受管理节点1260的组件(例如,处理器、存储器、通信电路等)的至少阈值量的容量(例如,80%)的时间段。在说明性实施例中,阶段驻留数据1410被构造为矩阵,其中每个阶段驻留占据与受管理节点1260的资源相关联的时间块。因此,协调器服务器1240可以执行装箱算法(bin packing algorithm)(例如,第一拟合算法、MTP(Martello-Toth过程)算法、箱完成算法、BCP(分支与切割与价格)算法等),以减少用于执行工作负载的受管理节点1260(例如,箱)的数量。此外,说明性环境1400包括工作负载调整数据1412,其可以体现为指示一个或多个工作负载从一个受管理节点1260到另一受管理节点1260的重新指派(例如,实时迁移)和/或对每个受管理节点1260内的组件的设置的调整的任何数据,例如,组件的目标功率使用,一个或多个工作负载可用的处理器容量(例如,待使用的核心的数量、时钟速度、可用处理器周期的百分比等),一个或多个工作负载可用的存储器资源容量(例如,待使用的存储器的量和/或对易失性存储器和/或非易失性存储器的存储器存取的频率),一个或多个工作负载可用的通信电路容量(例如,网络带宽),和/或目标操作温度。
在说明性环境1400中,网络通信器1420(其可以体现为如上面讨论的硬件、固件、软件、虚拟化硬件、仿真架构和/或其组合)被配置为促进分别来自和去往协调器服务器1240的入站和出站网络通信(例如,网络业务、网络分组、网络流等)。为此,网络通信器1420被配置为对来自一个系统或计算设备(例如,客户端设备1220)的数据分组进行接收和处理,并且准备和发送数据分组到另一计算设备或系统(例如,受管理节点1260)。因此,在一些实施例中,网络通信器1420的功能的至少一部分可以由通信电路1308执行,并且在说明性实施例中,由NIC 1310执行。
遥测监视器1430(其可以体现为如上面讨论的硬件、固件、软件、虚拟化硬件、仿真架构和/或其组合)被配置为当受管理节点1260执行指派给它们的工作负载时从受管理节点1260收集遥测数据1402。遥测监视器1430可以持续不断地针对更新后的遥测数据1402主动轮询受管理节点1260中的每个受管理节点1260,或者可以被动地从受管理节点1260接收遥测数据1402,例如,通过在特定网络端口上侦听更新后的遥测数据1402。遥测监视器1430还可以对遥测数据1402进行解析和归类,例如,通过将遥测数据1402分离成针对每个受管理节点1260的单独的文件或数据集。
资源管理器1440(其可以体现为硬件、固件、软件、虚拟化硬件、仿真架构和/或其组合)被配置为根据遥测数据1402生成数据分析,识别工作负载,对工作负载进行分类,确定工作负载的资源利用率阶段的时间段和模式,确定是否可以将对工作负载的指派调整为使各种工作负载的资源利用率阶段对准,以减少受管理节点1260之间的空闲资源的量,而不会不利地影响任何其他资源分配目标的实现度,并且应用调整。为此,资源管理器1440包括工作负载标记器1442、工作负载分类器1444、工作负载行为预测器1448和多目标分析器1450。在说明性实施例中,工作负载标记器1442被配置为将工作负载标签1406指派给当前由受管理节点1260中的一个或多个受管理节点1260执行或被调度为由受管理节点1260中的一个或多个受管理节点1260执行的每个工作负载。工作负载标记器1442可以根据工作负载的可执行名称、工作负载的代码的全部或一部分的散列或者基于用于唯一地识别每个工作负载的任何其他方法来生成工作负载标签1406。在说明性实施例中,工作负载分类器1444被配置为基于每个工作负载的资源利用率来对每个标记的工作负载进行归类。为此,在说明性实施例中,工作负载分类器1444包括工作负载指纹识别器1446。在说明性实施例中,工作负载指纹识别器1446被配置为生成阶段驻留数据1410,其如上面描述地指示每个工作负载展示的各种资源利用率阶段的时段以及工作负载展示资源利用率阶段的模式。针对给定工作负载的阶段驻留数据1410可以充当对于工作负载唯一的指纹(例如,资源利用率模式)。
在说明性实施例中,工作负载行为预测器1448被配置为分析遥测数据1402、工作负载分类1408和阶段驻留数据1410,以基于其先前使用和工作负载之间的潜在资源争用来预测各种工作负载的未来资源利用率需求。工作负载行为预测器1448可以被配置为利用工作负载的阶段驻留数据1410(例如,高处理器使用和低存储器使用的时段,低处理器使用和高存储器使用的时段等),确定给定工作负载的当前资源利用率阶段,基于阶段驻留数据1410中的模式来预测下一资源利用率阶段,并且确定直到工作负载转换到阶段驻留数据1410中指示的下一资源利用率阶段的剩余时间量。在说明性实施例中,多目标分析器1450被配置为均衡在资源分配目标数据1404中定义的资源分配目标,基于遥测数据1402来确定受管理节点1260中的资源的当前分配是否是Pareto高效的,并且如果不是Pareto高效的,则确定提供Pareto改进(例如,增加目标中的至少一个目标的实现度而不降低其他目标中的任一个目标的实现度)的调整。为此,在说明性实施例中,多目标分析器1450包括工作负载放置器1452和节点设置调整器1454。
在说明性实施例中,多目标分析器1450被配置为根据遥测数据1402(包括工作负载的当前资源利用率和工作负载的预测行为)来确定是否可以对工作负载的指派和/或受管理节点1260的组件的设置中的任一项进行调整,以增加资源分配目标中的一个或多个的实现度,而不降低其他资源分配目标的实现度。在说明性实施例中,多目标分析器1450可以通过响应于对工作负载的指派和/或受管理节点1260内的组件的设置的各种调整,对该组受管理节点1260、其功率消耗、热量生成、计算容量以及其他因素建模或模拟来这样做,定义指示全部是Pareto高效的一组资源分配的Pareto边界,确定当前资源分配是否已经在Pareto边界上,并且如果不是在Pareto边界上,则确定对分配的什么调整将达到Pareto边界。Pareto效率确定器可以如下确定Pareto边界P(Y):
f:Rn→Rm (等式1)
在上面的等式中,f是由多目标分析器1450建模的该组受管理节点1260的函数,其指示受管理节点1260对工作负载指派的调整的响应。Rn是可能分配的度量空间(即,工作负载的指派),并且Rm表示一组标准向量。在下面的等式中,X是度量空间Rn中的一组紧凑的可行决策,而Y是Rm中的一组可行的标准向量,如下:
r={y∈Rm:y=f(x),x∈X} (等式2)
此外,在以下等式3中定义的点y″比等式4中定义的另一点y′占优。
y″∈Rm (等式3)
y′∈Rm (等式4)
因此,Pareto边界可以如下表示:
在说明性实施例中,工作负载放置器1452被配置为最初将工作负载指派给各个受管理节点1260,并在受管理节点1260之间重新指派工作负载以提供Pareto改进。在这样做时,工作负载放置器1452可以确定工作负载在受管理节点1260之间的重新指派和/或要应用于工作负载以对准在阶段驻留数据1410中指示的资源利用率阶段的定时的时间偏移。通过将每个受管理节点1260视为箱并且使用时间偏移(例如,临时停止执行工作负载)来移位时间中的阶段驻留,工作负载放置器1452可以应用装箱算法(例如,第一拟合算法、MTP(Martello-Toth过程)算法、箱完成算法、BCP(分支与切割与价格)算法等),以减少用于执行一组工作负载的受管理节点1260的数量,从而提高数据中心1100的效率。类似地,在说明性实施例中,节点设置调整器1454被配置为对受管理节点1260内的设置应用一个或多个调整,以根据确定的Pareto改进提供或限制工作负载可用的资源。这些设置可以与操作系统和/或受管理节点1260的组件的固件或驱动器相关联。
应理解,工作负载标签器1442、工作负载分类器1444、工作负载指纹识别器1446、工作负载行为预测器1448、多目标分析器1450、工作负载放置器1452和节点设置调整器1454中的每个可以单独地体现为硬件、固件、软件、虚拟化硬件、仿真架构和/或其组合。例如,工作负载标记器1442可以体现为硬件组件,而工作负载分类器1444、工作负载指纹识别器1446、工作负载行为预测器1448、多目标分析器1450、工作负载放置器1452和节点设置调整器1454体现为虚拟化硬件组件或硬件、固件、软件、虚拟化硬件、仿真架构和/或其组合的一些其他组合。
现在参考图15,在使用中,协调器服务器1240可以执行方法1500,用于基于工作负载资源利用率阶段驻留来在受管理节点1260之间指派工作负载。方法1500以框1502开始,其中协调器服务器1240确定是否管理工作负载。在说明性实施例中,如果协调器服务器1240通电,与受管理节点1260通信,并且已经从客户端设备1220接收到提供云服务(即,执行一个或多个工作负载)的至少一个请求,则协调器服务器1240确定管理工作负载。在其他实施例中,协调器服务器1240可以基于其他因素来确定是否管理工作负载。无论如何,响应于确定管理工作负载,在说明性实施例中,方法1500前进到框1504,其中协调器服务器1240接收资源分配目标数据(例如,资源分配目标数据1404)。在这样做时,协调器服务器1240可以从用户(例如,管理员)通过图形用户接口(未示出)从配置文件或从另一源接收资源分配目标数据1404。在接收资源分配目标数据1404时,协调器服务器1240可以接收功率消耗目标数据,功率消耗目标数据指示受管理节点1260在其执行工作负载时的目标功率使用或阈值功率使用量,如框1506中指示的。在说明性实施例中,协调器服务器1240还可以接收指示工作负载将执行的目标速度(例如,处理器时钟速度、存储器时钟速度、每秒I/O操作、完成工作负载执行的目标时间段等)的性能目标数据,如框1508中指示的。另外或可替代地,协调器服务器1240可以接收指示受管理节点1260中的一个或多个或受管理节点1260的组件的目标生命周期(例如,数据存储设备的目标生命周期、冷却风扇的目标生命周期等)的可靠性目标数据,如框1510中指示的。如框1512中指示的,协调器服务器1240还可以接收指示受管理节点1260中的一个或多个目标温度的热目标数据。
在说明性实施例中,在接收到资源分配目标数据1404之后,方法1500前进到框1514,其中协调器服务器1240将初始工作负载指派给受管理节点1260。在说明性实施例中,协调器服务器1240尚未接收到遥测数据1402,其将通知关于在受管理节点1260之间在何处指派工作负载的决策。因此,协调器服务器1240可以基于任何合适的方法将工作负载指派给受管理节点1260,例如,通过将每个工作负载指派给空闲的第一可用受管理节点(即,当前没有执行工作负载),随机指派工作负载,或通过任何其他方法。
在指派工作负载之后,方法1500前进到框1516,其中当执行(即,实现)工作负载时,协调器服务器1240从受管理节点1260接收遥测数据1402。在接收遥测数据1402时,协调器服务器1240可以接收指示由每个受管理节点1260消耗的功率量(例如,瓦特)的功率消耗数据,如框1518中指示的。协调器服务器1240还可以从每个受管理节点1260接收指示工作负载执行的速度的性能数据,如框1520中指示的。因此,性能数据可以体现为完成与工作负载相关联的功能或任务所消耗的时间量。此外,如框1522中指示的,协调器服务器1240可以接收指示由每个受管理节点1260执行的每个工作负载消耗的处理器使用的量的处理器利用率数据。此外,如框1524中指示的,协调器服务器1240可以接收针对每个受管理节点1260的存储器利用率数据。存储器利用率数据可以体现为Intel高速缓存分配技术(CAT)数据、Intel高速缓存监视技术(CMT)数据、Intel存储器带宽监视(MBM)数据和/或指示由每个受管理节点1260执行的每个工作负载使用的存储器的量或频率的其他数据。
在接收存储器利用率数据时,协调器服务器1240可以接收指示与工作负载相关联的高速缓存访问的频率和/或高速缓存未命中率信息的高速缓存利用率数据,如框1526中指示的。另外或可替代地,如框1528中指示的,在接收存储器利用率数据时,协调器服务器1240可以接收易失性存储器利用率数据,其指示所使用的易失性存储器(例如,主存储器1304)的量,对易失性存储器的访问的频率,页面错误数据,和/或指示每个受管理节点1260内的易失性存储器的利用率的其他信息。另外或可替代地,协调器服务器1240可以接收非易失性存储器利用率数据,其指示从数据存储设备1312存储和/或取回的数据量,和/或每个工作负载向每个受管理节点1260中的数据存储设备1312发出写入请求和/或读取请求的频率,如框1530中指示的。
另外或可替代地,在接收遥测数据1402时,协调器服务器1240可以接收指示由每个受管理节点1260执行的每个工作负载所使用的网络带宽量(例如,通信电路的容量)的网络利用率数据,如框1532中指示的。协调器服务器1240还可以从每个受管理节点1260接收指示受管理节点1260内的一个或多个温度的温度数据,如框1534中指示的。在接收到遥测数据1402之后,方法1500前进到图16的框1536,其中协调器服务器1240在工作负载被执行时生成数据分析。
现在参考图16,在说明性实施例中,在生成数据分析时,协调器服务器1240生成工作负载的简档,如框1538中指示的。在这样做时,在说明性实施例中,协调器服务器1240生成工作负载的标签1406以唯一地识别每个工作负载,如框1540中指示的。另外,在说明性实施例中,协调器服务器1240生成工作负载的分类1408,如框1542中指示的。此外,在说明性实施例中,协调器服务器1240生成工作负载中的每个工作负载的阶段驻留数据1410,如框1544中指示的。在这样做时,在说明性实施例中,协调器服务器1240在工作负载的资源利用率阶段中进行识别,如框1546中指示的。例如,协调器服务器1240可以确定特定工作负载经历高处理器利用率和低存储器利用率的阶段,其典型地接下来是低处理器利用率和高存储器利用率的阶段,并且另一工作负载经历类似的阶段,但是以与另一工作负载不同的频率或时间偏移。如上面描述的,这些模式对于工作负载可以是唯一的,并且因此指示每个工作负载的资源利用率的“指纹”。另外,在生成阶段驻留数据时,协调器服务器1240可以识别指示恶意软件的异常工作负载行为(例如,诸如延长超过预定义时间阈值的时间段内的高处理器利用率之类的异常资源利用),如框1548中指示的。
另外,在说明性实施例中,协调器服务器1240预测工作负载的未来资源利用率阶段,例如,通过将每个工作负载的当前资源利用率与阶段驻留数据1410进行比较以确定每个工作负载的当前阶段,然后根据阶段驻留数据1410识别即将到来的工作负载阶段,如框1550中指示的。在这样做时,协调器服务器1240可以预测未来针对资源的争用。例如,协调器服务器1240可以识别由相同的受管理节点1260并发执行的两个工作负载,这两个工作负载被预测为都进入高处理器利用率阶段,导致针对受管理节点1260的该资源的争用。类似地,协调器服务器1240可以识别由特定受管理节点1260执行的工作负载被预测为并发进入高存储器利用率或高网络带宽利用率的阶段,导致针对这些资源的争用。在这样做时,协调器服务器1240可以确定在增强的资源利用率下,受制于争用的资源目标的可用容量是否将小于由该受管理节点1260执行的工作负载所请求的量,并且如果小于由该受管理节点1260执行的工作负载所请求的量,则存储指示符以潜在地调整在受管理节点1260之间对这些工作负载的指派。
在生成数据分析之后,方法1500前进到框1554,其中协调器服务器1240确定是否调整工作负载指派。在这样做时,在说明性实施例中,协调器服务器1240确定工作负载指派是否是Pareto高效的。在说明性实施例中,在确定工作负载指派是否是Pareto高效的时,协调器服务器1240确定是否可以对工作负载指派进行调整以增加资源分配目标的实现度(例如,目标性能),而不降低任何其他资源分配目标的实现度(例如,目标功率消耗、温度阈值等)。如上面描述的,协调器服务器1240可以基于受管理节点1260对工作负载指派的调整的反应的模型来确定Pareto边界,并且确定资源分配的当前状态是否已经在Pareto边界上。在框1558中,协调器服务器1240基于协调器服务器1240是否被确定为调整工作负载指派来确定后续步骤。如果协调器服务器1240确定不调整工作负载指派,则方法1500循环回到图15的框1516,其中随着工作负载继续被执行,协调器服务器1240再次从受管理节点1260接收遥测数据。否则,方法1500前进到图17的框1560,其中协调器服务器1240确定对工作负载指派的调整(例如,提供Pareto改进以将资源分配移动到更靠近Pareto边界处)。
现在参考图17,在框1560中,说明性协调器服务器1240在工作负载被执行时根据数据分析和资源分配目标数据1404来确定对工作负载指派的调整。在这样做时,协调器服务器1240确定一个或多个调整以改进资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度,如框1562中指示的。如框1564中指示的,协调器服务器1240确定工作负载重新指派,以将至少一个工作负载从一个受管理节点1260移动到另一受管理节点1260。在这样做时,协调器服务器1240确定补充资源利用率阶段的对准。在说明性实施例中,补充资源利用率阶段可以体现为主要使用受管理节点1260的不同资源的不同工作负载的两个或更多个资源利用率阶段,从而阶段的并发执行不会导致资源争用。通过利用阶段驻留数据1410执行装箱算法,如上面描述的,协调器服务器1240可以在受管理节点1260的可用资源容量内对准补充资源利用率阶段。在这样做时,协调器服务器1240可以确定工作负载执行的时间偏移,以在时间上移位一个或多个资源利用率阶段,如框1566中指示的。另外或可替代地,如框1568中指示的,协调器服务器1240可以确定要执行工作负载中的一个或多个工作负载的替代受管理节点,例如,不同于使工作负载的资源利用率阶段的定时偏移,如果将特定工作负载重新指派给另一受管理节点1260将产生更高的资源利用率,而不会导致资源争用。
另外,协调器服务器1240可以确定节点特定的调整,如框1570中指示的。节点特定的调整可以体现为对受管理节点1260中的一个或多个受管理节点1260内的设置的改变,例如,在操作系统、驱动器和/或组件(例如,CPU 1302、存储器1304、通信电路1308、一个或多个数据存储设备1312等)的固件方面,以改进资源利用率。因此,在说明性实施例中,在确定节点特定的调整时,协调器服务器1240可以确定处理器节制调整,例如,时钟速度和/或针对一个或多个工作负载的处理器联系,如框1572中指示的。另外或可替代地,协调器服务器1240可以确定存储器使用调整,例如,易失性存储器(例如,存储器1304)的分配和/或数据存储容量(例如,一个或多个数据存储设备1312的容量)、存储器总线速度和/或其他与存储器相关的设置,如框1574中指示的。另外或可替代地,协调器服务器1240可以确定网络带宽调整,例如,待分配给受管理节点1260中的每个工作负载的通信电路1308的可用带宽,如框1576中指示的。另外或可替代地,协调器服务器1240可以确定一个或多个风扇速度调整,以增加或减少受管理节点1260内的冷却,如框1578中指示的。
在确定调整之后,该方法前进到框1580,其中协调器服务器1240应用所确定的调整。在这样做时,协调器服务器1240可以发出执行工作负载在两个受管理节点1260之间的实时迁移(即,工作负载重新指派)的一个或多个请求,如框1582中指示的。在说明性实施例中,迁移是实时的,而不是等待直到完成工作负载以分析遥测数据1402,因为协调器服务器1240收集并分析遥测数据1402,并且在线进行调整(即,当工作负载被执行时),如上面描述的。协调器服务器1240还可以发出中止或恢复工作负载的执行的请求,如框1584中指示的。在这样做时,如框1586中指示的,协调器服务器1240可以中止工作负载的执行,直到确定的时间偏移已经过去,然后恢复执行,由此在时间上移位资源利用率阶段的“边缘”,以与在相同受管理节点1260上执行的另一工作负载的补充资源利用率阶段对准。另外或可替代地,如框1588中指示的,协调器服务器1240可以中止来自图16的框1548的任何识别出的恶意软件的执行以释放资源。在应用所确定的调整时,如框1590中指示的,协调器服务器1240还可以向受管理节点1260中的一个或多个受管理节点1260发出应用上面参考框1570描述的节点特定的调整的一个或多个请求。在应用调整之后,方法1500循环回到图15的框1516,其中协调器服务器1240从受管理节点1260接收附加的遥测数据1402。
示例
以下提供本文公开的技术的说明性示例。这些技术的实施例可以包括下面描述的示例中的任何一个或多个以及其任何组合。
示例1包括一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,该协调器服务器包括:一个或多个处理器;一个或多个存储器设备,其中存储有多个指令,该多个指令在由一个或多个处理器执行时使得协调器服务器进行以下操作:接收指示要满足的多个资源分配目标的资源分配目标数据;确定在受管理节点之间对一组工作负载的指派;从受管理节点接收遥测数据,其中,遥测数据指示在工作负载被执行时受管理节点中的每个受管理节点的资源利用率;根据遥测数据来确定指示工作负载的资源利用率阶段的时间长度的阶段驻留数据,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;至少根据阶段驻留数据和资源分配目标数据来确定对工作负载的指派的调整,以增加资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度;以及在工作负载被执行时,将调整应用于在受管理节点之间对工作负载的指派。
示例2包括示例1的主题,并且其中,确定对工作负载的指派的调整包括:识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段;以及确定补充工作负载利用率阶段的对准,以使得补充工作负载利用率阶段由相同的受管理节点并发地执行。
示例3包括示例1和2中任一项的主题,并且其中,确定补充工作负载阶段的对准包括确定工作负载中的一个或多个工作负载的执行的时间偏移;并且将调整应用于指派包括:暂时中止工作负载中的一个或多个工作负载的执行;以及在时间偏移已经过去之后,恢复工作负载中的一个或多个工作负载的执行。
示例4包括示例1-3中任一项的主题,并且其中,确定补充工作负载阶段的对准包括:确定受管理节点中的要执行工作负载的替代受管理节点;并且其中,应用调整包括发出执行向替代受管理节点对工作负载的实时迁移的请求。
示例5包括示例1-4中任一项的主题,并且其中,该多个指令在被执行时还使得协调器服务器进行以下操作:确定工作负载的资源利用率阶段是否指示恶意软件;以及响应于确定资源利用率阶段指示恶意软件,中止工作负载的执行。
示例6包括示例1-5中任一项的主题,并且其中,该多个指令在被执行时还使得协调器服务器根据遥测数据来生成数据分析。
示例7包括示例1-6中任一项的主题,并且其中,生成数据分析包括生成工作负载的简档,其中,简档指示每个工作负载的身份和每个工作负载的资源使用分类。
示例8包括示例1-7中任一项的主题,并且其中,生成数据分析包括预测工作负载的未来资源利用率。
示例9包括示例1-8中任一项的主题,并且其中,接收资源分配目标数据包括接收以下中的两个或更多个:指示受管理节点中的一个或多个受管理节点的目标功率使用的功率消耗目标数据,指示执行工作负载的目标速度的性能目标数据,指示受管理节点中的一个或多个受管理节点的目标生命周期的可靠性目标数据,或者指示受管理节点中的一个或多个受管理节点的目标温度的热目标数据。
示例10包括示例1-9中任一项的主题,并且其中,从受管理节点接收遥测数据包括接收以下中的至少一个:指示每个受管理节点消耗的功率的量的功率消耗数据,指示工作负载由每个受管理节点执行的速度的性能数据,指示每个受管理节点内的温度的温度数据,指示由每个受管理节点执行的每个工作负载消耗的处理器使用的量的处理器利用率数据,指示由每个受管理节点执行的每个工作负载使用的存储器的量或频率的存储器利用率数据,或者指示由每个受管理节点执行的每个工作负载使用的网络带宽的量的网络利用率数据。
示例11包括示例1-10中任一项的主题,并且其中,该多个指令在被执行时还使得协调器服务器确定工作负载的指派是否是Pareto高效的;并且其中,确定对工作负载的指派的调整包括:响应于确定工作负载的指派不是Pareto高效的,确定对工作负载的指派的调整。
示例12包括示例1-11中任一项的主题,并且其中,确定调整包括确定一个或多个节点特定的调整,一个或多个节点特定的调整指示受管理节点中的至少一个受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例13包括示例1-12中任一项的主题,并且其中,确定节点特定的调整包括确定以下中的至少一个:处理器节制调整、存储器使用调整、网络带宽调整或风扇速度调整。
示例14包括示例1-13中任一项的主题,并且其中,应用所确定的调整包括发出执行工作负载在受管理节点之间的实时迁移的请求。
示例15包括示例1-14中任一项的主题,并且其中,应用所确定的调整包括向受管理节点中的一个受管理节点发出应用一个或多个节点特定的调整的请求,该一个或多个节点特定的调整指示受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例16包括一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的方法,该方法包括:由协调器服务器,接收指示要满足的多个资源分配目标的资源分配目标数据;由协调器服务器,确定在受管理节点之间对一组工作负载的指派;由协调器服务器,从受管理节点接收遥测数据,其中,遥测数据指示在工作负载被执行时受管理节点中的每个受管理节点的资源利用率;由协调器服务器,根据遥测数据来确定指示工作负载的资源利用率阶段的时间长度的阶段驻留数据,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;由协调器服务器,至少根据阶段驻留数据和资源分配目标数据来确定对工作负载的指派的调整,以增加资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度;以及由协调器服务器,在工作负载被执行时,将调整应用于在受管理节点之间对工作负载的指派。
示例17包括示例16的主题,并且其中,确定对工作负载的指派的调整包括:识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段;以及确定补充工作负载利用率阶段的对准,以使得补充工作负载利用率阶段由相同的受管理节点并发地执行。
示例18包括示例16和17中任一项的主题,并且其中,确定补充工作负载阶段的对准包括确定工作负载中的一个或多个工作负载的执行的时间偏移;并且将调整应用于指派包括:暂时中止工作负载中的一个或多个工作负载的执行;以及在时间偏移已经过去之后,恢复工作负载中的一个或多个工作负载的执行。
示例19包括示例16-18中任一项的主题,并且其中,确定补充工作负载阶段的对准包括:确定受管理节点中的要执行工作负载的替代受管理节点;并且其中,应用调整包括发出执行向替代受管理节点对工作负载的实时迁移的请求。
示例20包括示例16-19中任一项的主题,并且还包括:由协调器服务器,确定工作负载的资源利用率阶段是否指示恶意软件;以及由协调器服务器,响应于确定资源利用率阶段指示恶意软件,中止工作负载的执行。
示例21包括示例16-20中任一项的主题,并且还包括根据遥测数据来生成数据分析。
示例22包括示例16-21中任一项的主题,并且其中,生成数据分析包括生成工作负载的简档,其中,简档指示每个工作负载的身份和每个工作负载的资源使用分类。
示例23包括示例16-22中任一项的主题,并且其中,生成数据分析包括预测工作负载的未来资源利用率。
示例24包括示例16-23中任一项的主题,并且其中,接收资源分配目标数据包括接收以下中的两个或更多个:指示受管理节点中的一个或多个受管理节点的目标功率使用的功率消耗目标数据,指示执行工作负载的目标速度的性能目标数据,指示受管理节点中的一个或多个受管理节点的目标生命周期的可靠性目标数据,或者指示受管理节点中的一个或多个受管理节点的目标温度的热目标数据。
示例25包括示例16-24中任一项的主题,并且其中,从受管理节点接收遥测数据包括接收以下中的至少一个:指示每个受管理节点消耗的功率的量的功率消耗数据,指示工作负载由每个受管理节点执行的速度的性能数据,指示每个受管理节点内的温度的温度数据,指示由每个受管理节点执行的每个工作负载消耗的处理器使用的量的处理器利用率数据,指示由每个受管理节点执行的每个工作负载使用的存储器的量或频率的存储器利用率数据,或者指示由每个受管理节点执行的每个工作负载使用的网络带宽的量的网络利用率数据。
示例26包括示例16-25中任一项的主题,并且还包括由协调器服务器确定工作负载的指派是否是Pareto高效的;并且其中,确定对工作负载的指派的调整包括:响应于确定工作负载的指派不是Pareto高效的,确定对工作负载的指派的调整。
示例27包括示例16-26中任一项的主题,并且其中,确定调整包括确定一个或多个节点特定的调整,该一个或多个节点特定的调整指示受管理节点中的至少一个受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例28包括示例16-27中任一项的主题,并且其中,确定节点特定的调整包括确定以下中的至少一个:处理器节制调整、存储器使用调整、网络带宽调整或风扇速度调整。
示例29包括示例16-28中任一项的主题,并且其中,应用所确定的调整包括发出执行工作负载在受管理节点之间的实时迁移的请求。
示例30包括示例16-29中任一项的主题,并且其中,应用所确定的调整包括向受管理节点中的一个受管理节点发出应用一个或多个节点特定的调整的请求,该一个或多个节点特定的调整指示受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例31包括一种或多种机器可读存储介质,包括存储在其上的多个指令,该多个指令响应于被执行,而使得协调器服务器执行示例16-30中任一项的方法。
示例32包括一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,该协调器服务器包括:一个或多个处理器;一个或多个存储器设备,其中存储有多个指令,该多个指令当由一个或多个处理器执行时,使得协调器服务器执行示例16-30中任一项的方法。
示例33包括一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,该协调器服务器包括用于执行示例16-30中任一项的方法的单元。
示例34包括一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,该协调器服务器包括:资源管理器电路,其用于接收指示要满足的多个资源分配目标的资源分配目标数据并且确定在受管理节点之间对一组工作负载的指派;以及遥测监视器电路,其用于从受管理节点接收遥测数据,其中,遥测数据指示在工作负载被执行时受管理节点中的每个受管理节点的资源利用率;其中,资源管理器电路还用于:根据遥测数据来确定指示工作负载的资源利用率阶段的时间长度的阶段驻留数据,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;至少根据阶段驻留数据和资源分配目标数据来确定对工作负载的指派的调整,以增加资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度;以及在工作负载被执行时,将调整应用于在受管理节点之间对工作负载的指派。
示例35包括示例34的主题,并且其中,确定对工作负载的指派的调整包括:识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段;以及确定补充工作负载利用率阶段的对准,以使得补充工作负载利用率阶段由相同的受管理节点并发地执行。
示例36包括示例34-35中任一项的主题,并且其中,确定补充工作负载阶段的对准包括确定工作负载中的一个或多个工作负载的执行的时间偏移;并且将调整应用于指派包括:暂时中止工作负载中的一个或多个工作负载的执行;以及在时间偏移已经过去之后,恢复工作负载中的一个或多个工作负载的执行。
示例37包括示例34-36中任一项的主题,并且其中,确定补充工作负载阶段的对准包括:确定受管理节点中的要执行工作负载的替代受管理节点;并且其中,应用调整包括发出执行向替代受管理节点对工作负载的实时迁移的请求。
示例38包括示例34-37中任一项的主题,并且其中,资源管理器电路还用于:确定工作负载的资源利用率阶段是否指示恶意软件;以及响应于确定资源利用率阶段指示恶意软件,中止工作负载的执行。
示例39包括示例34-38中任一项的主题,并且其中,资源管理器电路还用于根据遥测数据来生成数据分析。
示例40包括示例34-39中任一项的主题,并且其中,生成数据分析包括生成工作负载的简档,其中,简档指示每个工作负载的身份和每个工作负载的资源使用分类。
示例41包括示例34-40中任一项的主题,并且其中,生成数据分析包括预测工作负载的未来资源利用率。
示例42包括示例34-41中任一项的主题,并且其中,接收资源分配目标数据包括接收以下中的两个或更多个:指示受管理节点中的一个或多个受管理节点的目标功率使用的功率消耗目标数据,指示执行工作负载的目标速度的性能目标数据,指示受管理节点中的一个或多个受管理节点的目标生命周期的可靠性目标数据,或者指示受管理节点中的一个或多个受管理节点的目标温度的热目标数据。
示例43包括示例34-42中任一项的主题,并且其中,从受管理节点接收遥测数据包括接收以下中的至少一个:指示每个受管理节点消耗的功率的量的功率消耗数据,指示工作负载由每个受管理节点执行的速度的性能数据,指示每个受管理节点内的温度的温度数据,指示由每个受管理节点执行的每个工作负载消耗的处理器使用的量的处理器利用率数据,指示由每个受管理节点执行的每个工作负载使用的存储器的量或频率的存储器利用率数据,或者指示由每个受管理节点执行的每个工作负载使用的网络带宽的量的网络利用率数据。
示例44包括示例34-43中任一项的主题,并且其中,资源管理器电路还用于确定工作负载的指派是否是Pareto高效的;并且其中,确定对工作负载的指派的调整包括:响应于确定工作负载的指派不是Pareto高效的,确定对工作负载的指派的调整。
示例45包括示例34-44中任一项的主题,并且其中,确定调整包括确定一个或多个节点特定的调整,一个或多个节点特定的调整指示受管理节点中的至少一个受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例46包括示例34-45中任一项的主题,并且其中,确定节点特定的调整包括确定以下中的至少一个:处理器节制调整、存储器使用调整、网络带宽调整或风扇速度调整。
示例47包括示例34-46中任一项的主题,并且其中,应用所确定的调整包括发出执行工作负载在受管理节点之间的实时迁移的请求。
示例48包括示例34-47中任一项的主题,并且其中,应用所确定的调整包括向受管理节点中的一个受管理节点发出应用一个或多个节点特定的调整的请求,该一个或多个节点特定的调整指示受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例49包括一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,该协调器服务器包括:用于接收指示要满足的多个资源分配目标的资源分配目标数据的电路;用于确定在受管理节点之间对一组工作负载的指派的电路;用于从受管理节点接收遥测数据的电路,其中,遥测数据指示在工作负载被执行时受管理节点中的每个受管理节点的资源利用率;用于根据遥测数据来确定指示工作负载的资源利用率阶段的时间长度的阶段驻留数据的单元,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;用于至少根据阶段驻留数据和资源分配目标数据来确定对工作负载的指派的调整,以增加资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度的单元;以及用于在工作负载被执行时,将调整应用于在受管理节点之间对工作负载的指派的单元。
示例50包括示例49的主题,并且其中,用于确定对工作负载的指派的调整的单元包括:用于识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段的单元;以及确定补充工作负载利用率阶段的对准,以使得补充工作负载利用率阶段由相同的受管理节点并发地执行的单元。
示例51包括示例49和50中任一项的主题,并且其中,用于确定补充工作负载阶段的对准的单元包括:用于确定工作负载中的一个或多个工作负载的执行的时间偏移的单元;并且用于将调整应用于指派的单元包括:用于暂时中止工作负载中的一个或多个工作负载的执行的单元;以及用于在时间偏移已经过去之后,恢复工作负载中的一个或多个工作负载的执行的单元。
示例52包括示例49-51中任一项的主题,并且其中,用于确定补充工作负载阶段的对准的单元包括用于确定受管理节点中的要执行工作负载的替代受管理节点的单元;并且其中,用于应用调整的单元包括用于发出执行向替代受管理节点对工作负载的实时迁移的请求的单元。
示例53包括示例49-52中任一项的主题,并且还包括:用于确定工作负载的资源利用率阶段是否指示恶意软件的单元;以及用于响应于确定资源利用率阶段指示恶意软件而中止工作负载的执行的单元。
示例54包括示例49-53中任一项的主题,并且还包括用于根据遥测数据来生成数据分析的单元。
示例55包括示例49-54中任一项的主题,并且其中,用于生成数据分析的单元包括用于生成工作负载的简档的单元,其中,简档指示每个工作负载的身份和每个工作负载的资源使用分类。
示例56包括示例49-55中任一项的主题,并且其中,用于生成数据分析的单元包括用于预测工作负载的未来资源利用率的单元。
示例57包括示例49-56中任一项的主题,并且其中,用于接收资源分配目标数据的电路包括用于接收以下中的两个或更多个的电路:指示受管理节点中的一个或多个受管理节点的目标功率使用的功率消耗目标数据,指示执行工作负载的目标速度的性能目标数据,指示受管理节点中的一个或多个受管理节点的目标生命周期的可靠性目标数据,或者指示受管理节点中的一个或多个受管理节点的目标温度的热目标数据。
示例58包括示例49-57中任一项的主题,并且其中,用于从受管理节点接收遥测数据的电路包括用于接收以下中的至少一个的电路:指示每个受管理节点消耗的功率的量的功率消耗数据,指示工作负载由每个受管理节点执行的速度的性能数据,指示每个受管理节点内的温度的温度数据,指示由每个受管理节点执行的每个工作负载消耗的处理器使用的量的处理器利用率数据,指示由每个受管理节点执行的每个工作负载使用的存储器的量或频率的存储器利用率数据,或者指示由每个受管理节点执行的每个工作负载使用的网络带宽的量的网络利用率数据。
示例59包括示例49-58中任一项的主题,并且还包括用于确定工作负载的指派是否是Pareto高效的单元;并且其中,用于确定对工作负载的指派的调整的单元包括用于响应于确定工作负载的指派不是Pareto高效的而确定对工作负载的指派的调整的单元。
示例60包括示例49-59任一项的主题,并且其中,用于确定调整的单元包括用于确定一个或多个节点特定的调整的单元,该一个或多个节点特定的调整指示受管理节点中的至少一个受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
示例61包括示例49-60中任一项的主题,并且其中,用于确定节点特定的调整的单元包括用于确定以下中的至少一个的单元:处理器节制调整、存储器使用调整、网络带宽调整或风扇速度调整。
示例62包括示例49-61中任一项的主题,并且其中,用于应用所确定的调整的单元包括用于发出执行工作负载在受管理节点之间的实时迁移的请求的单元。
示例63包括示例49-62中任一项的主题,并且其中,用于应用所确定的调整的单元包括用于向受管理节点中的一个受管理节点发出应用一个或多个节点特定的调整的请求的单元,该一个或多个节点特定的调整指示受管理节点的一个或多个资源对由受管理节点执行的工作负载中的一个或多个工作负载的可用性的变化。
Claims (25)
1.一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,所述协调器服务器包括:
一个或多个处理器;
一个或多个存储器设备,其中存储有多个指令,所述多个指令在由所述一个或多个处理器执行时使得所述协调器服务器进行以下操作:
接收指示要满足的多个资源分配目标的资源分配目标数据;
确定在所述受管理节点之间对一组工作负载的指派;
从所述受管理节点接收遥测数据,其中,所述遥测数据指示在所述工作负载被执行时所述受管理节点中的每个受管理节点的资源利用率;
根据所述遥测数据来确定指示所述工作负载的资源利用率阶段的时间长度的阶段驻留数据,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;
至少根据所述阶段驻留数据和所述资源分配目标数据来确定对所述工作负载的指派的调整,以增加所述资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度;以及
在所述工作负载被执行时,将所述调整应用于在所述受管理节点之间对所述工作负载的指派。
2.根据权利要求1所述的协调器服务器,其中,确定对所述工作负载的指派的所述调整包括:
识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段;以及
确定所述补充工作负载利用率阶段的对准,以使得所述补充工作负载利用率阶段由相同的受管理节点并发地执行。
3.根据权利要求2所述的协调器服务器,其中:
确定所述补充工作负载阶段的对准包括确定所述工作负载中的一个或多个工作负载的执行的时间偏移;并且
将所述调整应用于所述指派包括:
暂时中止所述工作负载中的所述一个或多个工作负载的执行;以及
在所述时间偏移已经过去之后,恢复所述工作负载中的所述一个或多个工作负载的执行。
4.根据权利要求2所述的协调器服务器,其中,确定所述补充工作负载阶段的对准包括:
确定所述受管理节点中的要执行工作负载的替代受管理节点;并且
其中,应用所述调整包括发出执行向所述替代受管理节点对所述工作负载的实时迁移的请求。
5.根据权利要求1所述的协调器服务器,其中,所述多个指令在被执行时还使得所述协调器服务器进行以下操作:
确定工作负载的资源利用率阶段是否指示恶意软件;以及
响应于确定所述资源利用率阶段指示恶意软件,中止所述工作负载的执行。
6.根据权利要求1所述的协调器服务器,其中,所述多个指令在被执行时还使得所述协调器服务器根据所述遥测数据来生成数据分析。
7.根据权利要求6所述的协调器服务器,其中,生成所述数据分析包括生成所述工作负载的简档,其中,所述简档指示每个工作负载的身份和每个工作负载的资源使用分类。
8.根据权利要求6所述的协调器服务器,其中,生成所述数据分析包括预测所述工作负载的未来资源利用率。
9.根据权利要求1所述的协调器服务器,其中,接收资源分配目标数据包括接收以下中的两个或更多个:指示所述受管理节点中的一个或多个受管理节点的目标功率使用的功率消耗目标数据,指示执行所述工作负载的目标速度的性能目标数据,指示所述受管理节点中的一个或多个受管理节点的目标生命周期的可靠性目标数据,或者指示所述受管理节点中的一个或多个受管理节点的目标温度的热目标数据。
10.根据权利要求1所述的协调器服务器,其中,从所述受管理节点接收遥测数据包括接收以下中的至少一个:指示每个受管理节点消耗的功率的量的功率消耗数据,指示所述工作负载由每个受管理节点执行的速度的性能数据,指示每个受管理节点内的温度的温度数据,指示由每个受管理节点执行的每个工作负载消耗的处理器使用的量的处理器利用率数据,指示由每个受管理节点执行的每个工作负载使用的存储器的量或频率的存储器利用率数据,或者指示由每个受管理节点执行的每个工作负载使用的网络带宽的量的网络利用率数据。
11.根据权利要求1所述的协调器服务器,其中,所述多个指令在被执行时还使得所述协调器服务器确定所述工作负载的指派是否是Pareto高效的;并且
其中,确定对所述工作负载的指派的调整包括:响应于确定所述工作负载的指派不是Pareto高效的,确定对所述工作负载的指派的调整。
12.根据权利要求1所述的协调器服务器,其中,确定所述调整包括确定一个或多个节点特定的调整,所述一个或多个节点特定的调整指示所述受管理节点中的至少一个受管理节点的一个或多个资源对由所述受管理节点执行的所述工作负载中的一个或多个工作负载的可用性的变化。
13.一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的协调器服务器,所述协调器服务器包括:
用于接收指示要满足的多个资源分配目标的资源分配目标数据的电路;
用于确定在所述受管理节点之间对一组工作负载的指派的电路;
用于从所述受管理节点接收遥测数据的电路,其中,所述遥测数据指示在所述工作负载被执行时所述受管理节点中的每个受管理节点的资源利用率;
用于根据所述遥测数据来确定指示所述工作负载的资源利用率阶段的时间长度的阶段驻留数据的单元,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;
用于至少根据所述阶段驻留数据和所述资源分配目标数据来确定对所述工作负载的指派的调整,以增加所述资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度的单元;以及
用于在所述工作负载被执行时,将所述调整应用于在所述受管理节点之间对所述工作负载的指派的单元。
14.根据权利要求13所述的协调器服务器,其中,用于确定对所述工作负载的指派的所述调整的单元包括:
用于识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段的单元;以及
用于确定所述补充工作负载利用率阶段的对准,以使得所述补充工作负载利用率阶段由相同的受管理节点并发地执行的单元。
15.根据权利要求14所述的协调器服务器,其中:
用于确定所述补充工作负载阶段的对准的单元包括用于确定所述工作负载中的一个或多个工作负载的执行的时间偏移的单元;并且
用于将所述调整应用于所述指派的单元包括:
用于暂时中止所述工作负载中的所述一个或多个工作负载的执行的单元;以及
用于在所述时间偏移已经过去之后,恢复所述工作负载中的所述一个或多个工作负载的执行的单元。
16.根据权利要求14所述的协调器服务器,其中,用于确定所述补充工作负载阶段的对准的单元包括:
用于确定所述受管理节点中的要执行工作负载的替代受管理节点的单元;并且
其中,用于应用所述调整的单元包括用于发出执行向所述替代受管理节点对所述工作负载的实时迁移的请求的单元。
17.根据权利要求13所述的协调器服务器,还包括:
用于确定工作负载的资源利用率阶段是否指示恶意软件的单元;以及
用于响应于确定所述资源利用率阶段指示恶意软件,中止所述工作负载的执行的单元。
18.根据权利要求13所述的协调器服务器,还包括用于根据所述遥测数据来生成数据分析的单元。
19.根据权利要求18所述的协调器服务器,其中,用于生成所述数据分析的单元包括用于生成所述工作负载的简档的单元,其中,所述简档指示每个工作负载的身份和每个工作负载的资源使用分类。
20.根据权利要求18所述的协调器服务器,其中,用于生成所述数据分析的单元包括用于预测所述工作负载的未来资源利用率的单元。
21.根据权利要求13所述的协调器服务器,其中,用于接收资源分配目标数据的电路包括用于接收以下中的两个或更多个的电路:指示所述受管理节点中的一个或多个受管理节点的目标功率使用的功率消耗目标数据,指示执行所述工作负载的目标速度的性能目标数据,指示所述受管理节点中的一个或多个受管理节点的目标生命周期的可靠性目标数据,或者指示所述受管理节点中的一个或多个受管理节点的目标温度的热目标数据。
22.根据权利要求13所述的协调器服务器,其中,用于从所述受管理节点接收遥测数据的电路包括用于接收以下中的至少一个的电路:指示每个受管理节点消耗的功率的量的功率消耗数据,指示所述工作负载由每个受管理节点执行的速度的性能数据,指示每个受管理节点内的温度的温度数据,指示由每个受管理节点执行的每个工作负载消耗的处理器使用的量的处理器利用率数据,指示由每个受管理节点执行的每个工作负载使用的存储器的量或频率的存储器利用率数据,或者指示由每个受管理节点执行的每个工作负载使用的网络带宽的量的网络利用率数据。
23.一种用于基于资源利用率阶段驻留将一组受管理节点的资源分配给工作负载的方法,所述方法包括:
由协调器服务器,接收指示要满足的多个资源分配目标的资源分配目标数据;
由所述协调器服务器,确定在所述受管理节点之间对一组工作负载的指派;
由所述协调器服务器,从所述受管理节点接收遥测数据,其中,所述遥测数据指示在所述工作负载被执行时所述受管理节点中的每个受管理节点的资源利用率;
由所述协调器服务器,根据所述遥测数据来确定指示所述工作负载的资源利用率阶段的时间长度的阶段驻留数据,其中,每个资源利用率阶段指示满足阈值量的受管理节点组件的利用率;
由所述协调器服务器,至少根据所述阶段驻留数据和所述资源分配目标数据来确定对所述工作负载的指派的调整,以增加所述资源分配目标中的至少一个资源分配目标的实现度而不降低其他资源分配目标中的任一个资源分配目标的实现度;以及
由所述协调器服务器,在所述工作负载被执行时,将所述调整应用于在所述受管理节点之间对所述工作负载的指派。
24.根据权利要求23所述的方法,其中,确定对所述工作负载的指派的所述调整包括:
识别指示两个或更多个工作负载的、不同的受管理节点组件的资源利用率阶段的补充工作负载利用率阶段;以及
确定所述补充工作负载利用率阶段的对准,以使得所述补充工作负载利用率阶段由相同的受管理节点并发地执行。
25.根据权利要求24所述的方法,其中:
确定所述补充工作负载阶段的对准包括确定所述工作负载中的一个或多个工作负载的执行的时间偏移;并且
将所述调整应用于所述指派包括:
暂时中止所述工作负载中的所述一个或多个工作负载的执行;以及
在所述时间偏移已经过去之后,恢复所述工作负载中的所述一个或多个工作负载的执行。
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