CN103389715B - A high-performance distributed data center monitoring architecture - Google Patents

A high-performance distributed data center monitoring architecture Download PDF

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CN103389715B
CN103389715B CN 201310318176 CN201310318176A CN103389715B CN 103389715 B CN103389715 B CN 103389715B CN 201310318176 CN201310318176 CN 201310318176 CN 201310318176 A CN201310318176 A CN 201310318176A CN 103389715 B CN103389715 B CN 103389715B
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monitoring
monitor
architecture
data
scheduling process
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CN103389715A (en )
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王恩东
张东
刘正伟
陆峰
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浪潮电子信息产业股份有限公司
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

本发明公开了一种高性能的分布式数据中心监控架构,该架构的体系结构包括:监控核心引擎、监控调度进程、主动式监测轮询器、被动式监测接收器、告警引擎和监控数据处理中心,通过将监控架构进行分布式设计,将架构中涉及到的处理过程进行分离、细化、模块化,共分为六大模块完成各阶段的工作,并保留一个监控核心引擎完成各模块的调度运行,进而降低整个监控架构运行时的耗费资源量,并作到各模块所耗资源均等分配,最终,实现了对数据中心监控时的高性能,能够监控的规模扩大到了几万、几十万个节点。 The present invention discloses a high-performance distributed data center monitoring architecture, the architecture of the architecture comprising: monitoring core engine to monitor the scheduling process, the active monitor polls, a passive monitoring receiver, alarm monitoring and data processing center engine by monitoring the distributed architecture design, architecture relates to the process for the separation, refinement, modular, divided into six modules each stage of completion, and retain a core engine to monitor the completion of each scheduled module , which could reduce the amount of resources spent the entire monitoring architecture runtime and equal allocation of resources done by the consumption of each module, and ultimately to achieve high performance in the data center monitoring, expand the scale to be able to monitor tens of thousands, hundreds of thousands nodes.

Description

一种高性能的分布式数据中心监控架构 A high-performance distributed data center monitoring architecture

技术领域 FIELD

[0001]本发明涉及分布式监控和数据中心监控领域,具体涉及一种高性能的、分布式的、监控规模庞大的数据中心监控架构。 [0001] The present invention relates to the field of distributed monitoring and data monitoring center, and particularly to a high-performance, distributed, large-scale monitoring center monitoring data schema.

背景技术 Background technique

[0002]当前,数据中心的规模越来越大,高性能的数据中心监控需求越来越强烈,但由于传统的监控架构只具有一个臃肿的、低效的监控核心,各种数据采集、处理和分析等工作效率十分低下,并且存在无法解决的性能瓶颈问题,无法对大规模的数据中心实施监控。 [0002] Currently, the size of the data centers growing, high-performance data center monitoring growing demand, but because of traditional monitoring architecture only has a bloated, inefficient monitoring core, a variety of data acquisition, processing and analysis and other work efficiency is very low, and there can not solve the performance bottleneck, can not be implemented monitoring of large-scale data centers. 在实际应用中,随着数据中心越建越大、对数据中心监控的要求越来越高,传统的监控架构已经无法达到使用需求,性能瓶颈问题也十分严重。 In practical applications, as data center more to build greater demands on data center monitoring more and more, traditional monitoring architecture has not reached the use of demand, performance bottlenecks are also very serious. 这种传统的、存在性能瓶颈的、集所有处理于一体的臃肿的监控架构,当对数据中心大批量设备资源监控时,效率非常低、资源耗费严重、存在性能瓶颈,只能对2000个节点规模的数据中心进行监控。 This traditional, there is a performance bottleneck, set all processing in one of the bloated monitoring architecture, when large quantities of data center monitoring equipment resources, efficiency is very low, consumption of resources is serious, there is a performance bottleneck, only to 2000 nodes scale data center monitoring.

发明内容 SUMMARY

[0003]本发明所要解决的技术问题是提供一种对大规模数据中心的监控的更高效、更准确的数据中心监控架构。 [0003] The present invention solves the technical problem is to provide a monitoring of large-scale data centers more efficient, more accurate monitoring of data center architecture.

[0004]本发明所采取的技术方案是:一种高性能的分布式数据中心监控架构,该架构的体系结构包括:监控核心引擎、监控调度进程、主动式监测轮询器、被动式监测接收器、告警弓丨擎和监控数据处理中心,其中: [0004] The technical solution taken in the present invention is: A high-performance distributed data center monitoring architecture, the architecture of the architecture comprising: monitoring core engine to monitor the scheduling process, the active monitor polls, a passive monitoring receiver alarm bow Shu Qing and monitoring data processing centers, including:

[0005]监控核心引擎是该架构的核心,负责驱动、调度各模块,还负责读取监控所需的各项配置,将自动根据调度进程个数将监控配置划分,并将划分好的监控配置分发到各监控调度进程上; [0005] monitoring core engine is the core of the architecture, responsible for driving, scheduling modules, is also responsible for reading the configuration required to monitor, automatically according to the number of the scheduling process will monitor configuration divide, and divide better monitor configuration distributed to each monitoring scheduling process;

[0006]监控调度进程主要负责根据监控核心引擎分发的监控配置来驱动和调度主动式监测轮询器或被动式监测接收器进行监控数据采集或接收,可以自动根据配置规模启动多个,以保证每个监控调度进程都能高效的进行工作; [0006] According to the monitoring scheduling process is responsible for monitoring the configuration monitoring core engine to drive distribution and scheduling active monitor polling, or passive monitoring receiver for monitoring data collection or reception, you can automatically start multiple scale depending on the configuration, to ensure that each a scheduling process can be effective monitoring work;

[0007]主动式监测轮询器主动进行监测数据采集; [0007] The active monitor polls monitoring data acquisition is active;

[0008]被动式监测接收器被动接收监测数据; [0008] Passive Passive monitoring receiver receives the monitoring data;

[0009]告警引擎主要负责监听所监控设备资源的告警通知或事件处理动作,根据监听内容进行邮件告警、短信告警发送或处理产生的事件等; [0009] The main engine is responsible for monitoring alarm alarm notification device resources or event processing operation monitored, mail alarms based on monitoring the content, or send SMS alerts to handle events like generated;

[0010]监控数据处理中心负责收集、记录产生的监测数据,将其记录到日志、数据库或RRD数据库(RRD是Round Robin Database的缩写,用于记录固定数目,具有循环特性,并且在当前时间点有特定值的数据,比如以天为单位记录气温)中,并进行数据处理、分析得到故障趋势、历史监控状态曲线、可用性分析报表等。 [0010] Monitoring data processing center responsible for collecting, recording monitoring data generated, it is logged, a database or database RRD (Round Robin Database RRD is an abbreviation for a fixed number of records, having cycle characteristics, and at the current time point a particular data value, such as temperature recorded in days), and data processing, fault trend analysis to obtain, historical monitoring state curve, usability analysis reports.

[0011]针对数据中心的节点规模,依据每个监控调度进程的监控能力,启用监控调度进程,监控核心引擎会自动根据调度进程个数将监控配置进行划分,并将划分好的监控配置分发到各监控调度进程上去;然后,监控核心引擎会驱动监控调度进程开始进行工作,各监控调度进程运行后,驱动主动式监测轮询器或被动式监测接收器来采集或收集监测数据;当采集或收集到监测数据后,监控调度进程会将其发送到监控数据处理中心,进行数据的处理、分析和记录;告警引擎是作为整个监控架构中的告警核心,以自驱动的方式进行工作,监听被监控节点的告警通知或事件处理动作,并根据监听内容做出相应动作,发送告警邮件、短ί目或处理广生的事件。 [0011] node scale for the data center, according to the monitoring capabilities of each monitor scheduling process, scheduling process to enable monitoring, monitoring core engine automatically according to the number of monitors configured scheduling process will be divided and distributed to the division better monitor configuration each monitoring scheduling process up; and then monitoring the core engine drives the monitoring scheduling process begins to work, after each monitoring scheduling process runs, driven active monitor polls or passive monitoring receiver to capture or collect monitoring data; when the acquisition or collection after monitoring data to monitor the scheduling process sends it to the monitoring data processing center, data processing, analysis and recording; alarm alerting engine as the core of the monitoring architecture, a self-driven way to work, listening to be monitored alarm notification or event node processing operations, and make the appropriate action based on monitoring the content, send e-mail alerts, or event handling short ί head of Kwong Sang.

[0012]在体系结构中,监控核心引擎、监控调度进程、主动式监测轮询器、被动式监测接收器、告警引擎、监控数据处理中心都模块化处理,即整个数据中心监控架构分布式的部署在不同的服务器上,充分利用各自所具备的资源形成一个能够监控几十万节点规模数据中心的、高性能的监控系统。 [0012] In architecture, the monitoring core engine, control the scheduling process, the active monitor polling, a passive monitoring receiver, alarm engine, surveillance data processing centers are modular processing, that is, the entire data center to monitor a distributed deployment architecture on different servers, the full use of their resources provided in a form capable of monitoring the size of hundreds of thousands of nodes of the data center, monitoring system performance.

[0013]本架构中的六大模块在监控系统应用中都设计了一个备用模块,以保证此系统的容错性和稳定性。 [0013] This architecture application monitoring system six modules are designed with a spare module, fault tolerance, and to ensure stability of the system.

[0014]主动式监测轮询器设计为自动横向扩展的方式,根据监控调度进程分发下来的监测任务自动调整主动式监测轮询器的个数,保证每个轮询器的压力适中,以此达到高效的、准确的主动进行监测数据采集的目的。 [0014] The active monitor polls is designed to automatically scale the way down the distributed scheduling process monitoring according to the number of monitoring tasks automatically adjust the active monitor poller, ensure that the pressure of each poller moderate, thus achieve efficient and accurate for the purpose of monitoring the active data collection.

[0015]本发明的有益效果:本发明打破了传统的、存在性能瓶颈的、集所有处理于一体的臃肿的监控架构,当数据中心进行大批量设备资源的监控时,效率非常低、资源耗费严重、存在性能瓶颈(如只能对2000个节点规模的数据中心进行监控)等,通过将监控架构进行分布式设计,将架构中涉及到的处理过程进行分离、细化、模块化,共分为六大模块完成各阶段的工作,并保留一个监控核心引擎完成各模块的调度运行,进而降低整个监控架构运行时的耗费资源量,并作到各模块所耗资源均等分配。 [0015] Advantageous Effects of Invention: The present invention breaks the traditional, a performance bottleneck, the set of all the processing in one of the bloated control framework, when the data center to monitor bulk device resources, the efficiency is very low, resource consumption severe, a performance bottleneck (e.g., only to nodes 2000 to monitor the size of a data center), etc., by monitoring the distributed architecture design, architecture relates to the process for the separation, refinement, modular, divided complete six modules for the various stages of the work, and keep a complete monitoring core engine is scheduled to run each module, thereby reducing the amount of resources spent the entire monitoring architecture runtime and done each module equal allocation of resources consumed. 最终,实现了对数据中心监控时的高性能,能够监控的规模扩大到了几万、几十万个节点。 Finally, to achieve high performance when the data center monitoring, expand the scale to be able to monitor tens of thousands, hundreds of thousands of nodes.

附图说明 BRIEF DESCRIPTION

[0016]附图1为传统的监控架构示意图; [0016] Figure 1 is a schematic view of a conventional control framework;

[0017]附图2为基于分布式的高性能数据中心监控架构示意图; [0017] Figure 2 is a high-performance data center based on the distributed monitoring architecture diagram;

[0018]附图3为10万个节点规模的分布式数据中心监控系统示意图。 [0018] Figure 3 is a schematic diagram nodes 100,000 scale distributed data center monitoring system.

具体实施方式 detailed description

[0019]参照说明书附图对本发明的内容以一个具体实例做以下详细的说明: [0019] with reference to the accompanying drawings of the present invention in a specific example the following detailed description made:

[0020]如附图3所示构建10万个节点规模的监控系统为例,阐述高性能的分布式数据中心监控架构的具体实现方式。 [0020] The construct nodes 100,000 scale surveillance system shown in FIG. 3 as an example, the specific implementation set forth in high-performance distributed data center monitoring architecture.

[0021]针对具有100000万个节点规模的数据中心,依据每个监控调度进程的监控能力约为10000个节点,因此部署监控时需要启用10个监控调度进程及1个备用监控调度进程。 [0021] for having one billion nodes scale data centers, according to each monitoring scheduling process monitoring capacity of about 10 000 nodes, it is necessary to enable the scheduling process monitor 10 and a backup monitoring and dispatching process when deploying monitoring. 监控核心引擎将会自动根据调度进程个数将监控配置划分为10份,并将划分好的监控配置分发到各监控调度进程上去。 Monitoring Core engine will automatically according to the number of monitors configured scheduling process will be divided into 10 parts, and divides good monitor configuration distributed to monitor the scheduling process up. 然后,监控核心引擎会驱动监控调度进程开始进行工作,各监控调度进程运行后,便根据配置中配置的主动或被动式监测方式来驱动主动式监测轮询器或被动式监测接收器来采集、收集监测数据,根据节点规模会启动5个主动式监测轮询器来响应上层10个监控调度进程下发的监控数据采集任务,S卩1个主动式监测轮询器响应两个监控调度进程下发任务。 Then, monitoring core engine drives the monitor scheduling process to start work, after each monitoring scheduling process is running, it drives the active monitor polling, or passive monitoring receiver according to active or passive monitoring mode configuration configured to capture, collect monitoring data, the node starts the scale 5 according to the active monitor polls in response to the upper layer 10 issued by the monitoring scheduling process monitoring data acquisition tasks, S Jie an active monitor polling response issued two monitoring task scheduling process . 当采集或收集到监测数据后,监控调度进程会将其发送到数据处理中心,进行数据的处理、分析和记录等。 When monitoring data collected or collected, monitoring scheduling process sends it to the data processing center, data processing, analysis and recording. 而告警引擎则是作为整个监控架构中的告警核心以自驱动的方式进行工作,它将监听被监控节点的告警通知或事件处理动作,并根据监听内容做出相应动作,发送告警邮件、短信或处理产生的事件等。 The engine is a warning alarm as the core of the monitoring architecture with self-driven approach to work, which will monitor the alarm notification or event processing operation monitoring node, and make the appropriate action based on monitoring the content, send e-mail alerts, SMS or handling events generated so on. 如图中所示,本架构中的六大模块在些监控系统应用中都设计了一个备用模块,以保证此系统的容错性和稳定性。 As shown, the present architecture six modules in some system applications are designed to monitor a spare module, fault tolerance, and to ensure stability of the system.

Claims (4)

  1. 1.一种高性能的分布式数据中心监控架构,其特征在于:该架构的体系结构包括:监控核心引擎、监控调度进程、主动式监测轮询器、被动式监测接收器、告警引擎和监控数据处理中心,其中: 监控核心引擎是该架构的核心,负责驱动、调度各模块,还负责读取监控所需的各项配置,将自动根据调度进程个数将监控配置划分,并将划分好的监控配置分发到各监控调度进程上; 监控调度进程主要负责根据监控核心引擎分发的监控配置来驱动和调度主动式监测轮询器或被动式监测接收器进行监控数据采集或接收,能自动根据配置规模启动多个监控调度进程; 主动式监测轮询器主动进行监测数据采集; 被动式监测接收器被动接收监测数据; 告警引擎主要负责监听所监控设备资源的告警通知或事件处理动作,根据监听内容进行邮件告警、短信告警发送或处理 A high-performance distributed data center control framework, characterized in that: the architecture of the architecture comprising: monitoring core engine to monitor the scheduling process, the active monitor polls, a passive monitoring receiver, data monitoring and alarm engine processing Center, including: monitoring core engine is the core of the architecture, responsible for driving, scheduling modules, is also responsible for reading the configuration required to monitor, automatically according to the number of the scheduling process will monitor configuration divide, and divide good monitoring configuration distributed to each monitoring scheduling process; monitoring and dispatching process is primarily responsible for monitoring data based on monitoring monitoring core engine distributed configured to drive and scheduling active monitor polling, or passive monitoring receiver to acquire or receive automatically depending on the configuration scale launch multiple monitoring and dispatching processes; active monitor polling is actively monitoring data collection; passive monitoring receiver receives passive monitoring data; alarm main engine is responsible for monitoring alarm notification or event processing operation of the monitoring equipment resources, according mail intercepts alarm, send SMS alerts or processing 产生的事件; 监控数据处理中心负责收集、记录产生的监测数据,将其记录到日志、数据库中,并进行数据处理、分析得到故障趋势、历史监控状态曲线、可用性分析报表; 针对数据中心的节点规模,依据每个监控调度进程的监控能力,启用监控调度进程,监控核心引擎会自动根据调度进程个数将监控配置进行划分,并将划分好的监控配置分发到各监控调度进程上去;然后,监控核心引擎会驱动监控调度进程开始进行工作,各监控调度进程运行后,驱动主动式监测轮询器或被动式监测接收器来采集或收集监测数据;当采集或收集到监测数据后,监控调度进程会将其发送到监控数据处理中心,进行数据的处理、分析和记录;告警引擎是作为整个监控架构中的告警核心,以自驱动的方式进行工作,监听被监控节点的告警通知或事件处理动作,并根据监听 Event generated; monitoring data processing center responsible for collecting, recording monitoring data generated, it is logged in the database, and data processing, analysis obtain fault trends, historical monitoring the state of the curve, the availability analysis reports; node for the data center scale, based on ability to monitor each monitoring scheduling process, scheduling process to enable monitoring, monitoring core engine automatically according to the number of monitors configured scheduling process will divide, and divide better monitor configuration distributed to monitor the scheduling process up; then, monitor core engine drives the monitoring scheduling process begins to work, after each monitoring scheduling process runs, driven active monitor polls or passive monitoring receiver to capture or collect monitoring data; when collected or collected monitoring data, monitoring and dispatching process it is sent to the monitoring center data processing, data processing, analysis and recording; alarm alerting engine as the core of the control framework in order to self-driven approach to work, the listener is monitoring node alarm notification or event processing operation and in accordance with the listener 内容做出相应动作,发送告警邮件、短信或处理产生的事件。 Content make the appropriate action, sends an alarm event e-mail, SMS or processing generated.
  2. 2.根据权利要求1所述的高性能的分布式数据中心监控架构,其特征在于:所述监控核心引擎、监控调度进程、主动式监测轮询器、被动式监测接收器、告警引擎、监控数据处理中心都模块化处理,即整个数据中心监控架构分布式地部署在不同的服务器上。 2. The high-performance distributed data center monitoring architecture according to claim 1, wherein: said core engine to monitor, to monitor the scheduling process, the active monitor polls, a passive monitoring receiver, alarm engine, monitoring data processing centers are modular processing, that is, the entire data center to monitor a distributed architecture deployed on different servers.
  3. 3.根据权利要求2所述的高性能的分布式数据中心监控架构,其特征在于:所述监控核心引擎、监控调度进程、主动式监测轮询器、被动式监测接收器、告警引擎、监控数据处理中心六大模块在监控系统应用中都设计一个备用模块。 3. The high-performance distributed data center monitoring architecture of claim 2, wherein: said core engine to monitor, to monitor the scheduling process, the active monitor polls, a passive monitoring receiver, alarm engine, monitoring data six modules in the central processing system applications are designed to monitor a spare module.
  4. 4.根据权利要求1、2或3所述的高性能的分布式数据中心监控架构,其特征在于:所述主动式监测轮询器设计为自动横向扩展的方式,根据监控调度进程分发下来的监测任务自动调整主动式监测轮询器的个数。 The 1, 2 or 3 high-performance distributed data center monitoring architecture as claimed in claim, wherein: said active monitor polls is designed to automatically scale the way down the distributed scheduling process in accordance with the monitoring monitoring tasks automatically adjust the number of active monitoring poller.
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Publication number Priority date Publication date Assignee Title
CN103618644A (en) * 2013-11-26 2014-03-05 曙光信息产业股份有限公司 Distributed monitoring system based on hadoop cluster and method thereof
CN105094698B (en) * 2015-07-08 2018-09-11 浪潮(北京)电子信息产业有限公司 Kinds of disk capacity forecasting based on historical monitoring data
CN106027306A (en) * 2016-05-26 2016-10-12 浪潮(北京)电子信息产业有限公司 Resource monitoring method and device
CN106354616A (en) * 2016-08-18 2017-01-25 北京并行科技股份有限公司 Method and device for monitoring application execution performance and high-performance computing system
CN106100938A (en) * 2016-08-19 2016-11-09 浪潮(北京)电子信息产业有限公司 Monitoring and alarming method and system of distributed cluster system
CN106407078A (en) * 2016-09-26 2017-02-15 中国工商银行股份有限公司 An information interaction-based client performance monitoring device and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020002443A1 (en) * 1998-10-10 2002-01-03 Ronald M. Ames Multi-level architecture for monitoring and controlling a functional system
CN101232515A (en) * 2008-02-25 2008-07-30 浪潮电子信息产业股份有限公司 Distributed type colony management control system based on LDAP
CN102591282A (en) * 2012-02-14 2012-07-18 浙江鼎丰实业有限公司 Distributed data collection and transmission system
CN102608970A (en) * 2012-03-05 2012-07-25 浪潮通信信息系统有限公司 Distributed data acquisition method based on centralized management and automatic scheduling
CN102970183A (en) * 2012-11-22 2013-03-13 浪潮(北京)电子信息产业有限公司 Cloud monitoring system and data reflow method thereof

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8014880B2 (en) * 2006-09-29 2011-09-06 Fisher-Rosemount Systems, Inc. On-line multivariate analysis in a distributed process control system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020002443A1 (en) * 1998-10-10 2002-01-03 Ronald M. Ames Multi-level architecture for monitoring and controlling a functional system
CN101232515A (en) * 2008-02-25 2008-07-30 浪潮电子信息产业股份有限公司 Distributed type colony management control system based on LDAP
CN102591282A (en) * 2012-02-14 2012-07-18 浙江鼎丰实业有限公司 Distributed data collection and transmission system
CN102608970A (en) * 2012-03-05 2012-07-25 浪潮通信信息系统有限公司 Distributed data acquisition method based on centralized management and automatic scheduling
CN102970183A (en) * 2012-11-22 2013-03-13 浪潮(北京)电子信息产业有限公司 Cloud monitoring system and data reflow method thereof

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