CN1929411A - Intelligent computers group monitoring method - Google Patents

Intelligent computers group monitoring method Download PDF

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Publication number
CN1929411A
CN1929411A CN 200610112386 CN200610112386A CN1929411A CN 1929411 A CN1929411 A CN 1929411A CN 200610112386 CN200610112386 CN 200610112386 CN 200610112386 A CN200610112386 A CN 200610112386A CN 1929411 A CN1929411 A CN 1929411A
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China
Prior art keywords
information
collects
node
cpu
disk
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Pending
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CN 200610112386
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Chinese (zh)
Inventor
孙东明
倪素萍
何国才
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Dawning Information Industry Beijing Co Ltd
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Dawning Information Industry Beijing Co Ltd
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Priority to CN 200610112386 priority Critical patent/CN1929411A/en
Publication of CN1929411A publication Critical patent/CN1929411A/en
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Abstract

This invention discloses one method for intelligent computer set monitor, which can provide whole computer device hardware information collecting, storing, analyzing and emergency closing and provides pre-warning address and historical information statistical report. This invention comprises the following steps: a, collecting set point device information; b, storing the collected device information into machine group information database; c, filtering warning information from device information; d, according to device information sending pre-warning information for historical information.

Description

A kind of intelligent computers group monitoring method
Technical field
The present invention relates to a kind of computer cluster system monitoring and management method, particularly relate to a kind of software and hardware information monitoring method of computer cluster system.
Background technology
A group of planes is by high-performance Wide Area Network or LAN that one sets of computer system (node) is interconnected, the computer cluster of the high-performance with single system mapping of formation, high availability, high scalability.Because loosely organized, the node independence of Network of Workstation is strong, network connects complicatedly, so Network of Workstation is necessary that the method for supervising of a cover safe ready monitors its software and hardware, to find at any time, to fix a breakdown.
The method for supervising that adopts mainly is after collecting passing node equipments information at present, this information is directly compared, when the information of finding to collect when closing on Network of Workstation fault state value, at this moment republishing system alarm prompt or actuating equipment power-off operation, and produced certain ill-effect this moment in Network of Workstation, some or even more serious phenomenon of the failure has taken place, Network of Workstation produced seriously influenced.This Network of Workstation method for supervising of prior art is a kind of monitor processing method afterwards, in order better computer cluster system to be monitored processing, presses for a kind of computer group early-warning processing method in advance.
Summary of the invention
The purpose of this invention is to provide a kind of computers group monitoring method, it not only can provide whole computer cluster system node device hardware information collecting, storage, analysis warning and the shutdown of node machine danger, and the early warning issue to computer cluster system node device software and hardware information can also be provided.
In order to realize above-mentioned purpose of the present invention, the technical solution used in the present invention is as follows:
A kind of intelligent computers group system monitoring method wherein, comprises following operating procedure:
Node device information in A, the collection group of planes;
B, deposit the facility information that collects in the group monitoring information database;
C, from the facility information that collects, filter out warning message and report to the police or shutdown;
The facility information that D, basis collect is issued early warning information and is carried out the historical information analytic statistics.
Wherein, described steps A is carried out following concrete steps:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
Wherein, described step B carries out following concrete steps:
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
Wherein, described step C carries out following concrete steps:
C1, the node device information that filtration collects according to the alarm switch state information;
C2, to surpassing the node device information of alarming threshold value, issue caution warning message;
C3, to surpassing the node machine hardware information of shutdown threshold values, issue fault alarm information and closed node machine.
Wherein, described step D comprises following concrete steps:
D1, from group of planes monitor message database, extract historical node device information;
D2, predict the occurrence value of next time period and issue early warning information according to the historical node device information of extracting and the present node facility information that collects;
D3, historical nodal information is carried out analytic statistics.
Wherein, described step C2 carries out following concrete steps:
C21, will greater than the upper limit alarm threshold values and less than the node device information of upper limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm;
C22, will less than the lower limit alarming threshold value and greater than the node device information of lower limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm.
Wherein, described step C3 carries out following concrete steps:
C31, will issue short message, Email as fault alarm information and on management host, alarm, and close this node machine greater than the shut down node machine hardware information of threshold values of the upper limit;
C32, will issue short message, Email as fault alarm information and on management host, alarm, and close this node machine less than the shut down node machine hardware information of threshold values of lower limit.
A kind of computers group monitoring method provided by the invention, have following beneficial effect: it not only can provide whole computer cluster system node device hardware information collecting, storage, analysis warning and the shutdown of node machine danger, and early warning issue and historical information analytic statistics to computer cluster system node device software and hardware information can also be provided.
Description of drawings
Fig. 1 is an intelligent computers group system monitoring step schematic diagram;
Fig. 2 is an acquisition node facility information execution in step schematic diagram;
Fig. 3 is for to deposit facility information in group monitoring database execution in step schematic diagram;
Fig. 4 is for filtering out warning message and reporting to the police or power-off operation step schematic diagram;
Fig. 5 is for issuing early warning information operating procedure schematic diagram according to the facility information that collects;
Fig. 6 is to surpassing the node device information of alarming threshold value, issue warning message operating procedure schematic diagram;
Fig. 7 is to surpassing the node machine hardware information of shutdown threshold values, closed node machine operation step schematic diagram;
Fig. 8 is the node card structural representation;
Fig. 9 is the capture card structural representation.
Embodiment
Under the design philosophy of technique scheme of the present invention, as shown in Figure 1, take following operating procedure to be implemented:
Node device information in A, the collection group of planes;
B, deposit the facility information that collects in the group monitoring information database;
C, from the facility information that collects, filter out warning message and report to the police or shutdown;
The facility information that D, basis collect is issued early warning information and is carried out the historical information analytic statistics.
The present invention can have multiple, is illustrated below by specific embodiment.
Embodiment one
Present embodiment is a kind of preferred implementation of the present invention, as shown in Figure 1 and Figure 2, adopts following operating procedure:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
B, deposit the facility information that collects in the group monitoring information database;
C, from the facility information that collects, filter out warning message and report to the police or shutdown;
The facility information that D, basis collect is issued early warning information and is carried out the historical information analytic statistics.
In the present embodiment, monitoring host computer is the releasing software acquisition on network, and the node machine is gathered this machine software information, and passes to monitoring host computer by network; The hardware information of node machine is by being arranged at the node card acquisition hardware information on the node machine, and passes to the capture card of monitoring host computer by the daisy chain connected mode between the node machine, and monitoring host computer extracts the hardware information of each node machine from its capture card.The structure of node card as shown in Figure 8, node card is provided with microcontroller (MCU) chip, monitoring chip, RS232 and RS485 serial port circuit, RS485 is connected to the RS485 serial ports of capture card with the connected mode of daisy chain; The structure of capture card as shown in Figure 9, capture card is provided with change-over circuit, RS232 serial port circuit, the RS485 serial port circuit of receiving node card information.Switch in the network and disk array information are by the general network Information Monitoring under the snmp protocol layer.
Embodiment two
Present embodiment is the present invention further optimization execution mode, as Fig. 1, Fig. 2, shown in Figure 3, adopts following operating procedure:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
C, from the facility information that collects, filter out warning message and report to the police or shutdown;
The facility information that D, basis collect is issued early warning information and is carried out the historical information analytic statistics.
In the present embodiment, compare with embodiment one, group monitoring software information database, group monitoring hardware information database, group monitoring disc information database and group monitoring exchanger information database adopt the MySQL Database Systems.
Embodiment three
Present embodiment is a further preferred implementation of the present invention, as Fig. 1, Fig. 2, Fig. 3, shown in Figure 4, adopts following operating procedure:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
C1, the node device information that filtration collects according to the alarm switch state information;
C2, to surpassing the node device information of alarming threshold value, issue caution warning message;
C3, to surpassing the node machine hardware information of shutdown threshold values, issue fault alarm information and closed node machine.
The facility information that D, basis collect is issued early warning information and is carried out the historical information analytic statistics.
In the present embodiment, compare with embodiment two, voltage caution alarming threshold value be normal working voltage ± 20%, voltage failure shutdown threshold values be normal working voltage ± 30%, CPU and cabinet caution alarm temperature be that 62 ℃, CPU and chassis failure alarm temperature are 65 ℃.
Embodiment four
Present embodiment is an another preferred implementation of the present invention, as Fig. 1, Fig. 2, Fig. 3, Fig. 4, shown in Figure 5, adopts following operating procedure:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
C1, the node device information that filtration collects according to the alarm switch state information;
C2, to surpassing the node device information of alarming threshold value, caution issue warning message;
C3, to surpassing the node machine hardware information of shutdown threshold values, issue fault alarm information and closed node machine.
D1, from group of planes monitor message database, extract historical node device information;
D2, predict the occurrence value of next time period and issue early warning information according to the historical node device information of extracting and the present node facility information that collects;
D3, historical nodal information is carried out analytic statistics.
In the present embodiment, compare with embodiment three, next forecast sample value X is calculated by following formula:
X = Σ n = M M - N + 1 ω n X n + ΔX
Wherein historical nodal information number of samples N=10, the sample information acquisition time is spaced apart 1 second, and the M sample is a currency, wherein ω nBe empirical value, generally we think that current sample has the greatest impact ω to predicted value MValue between 0.8～0.9, and
Σ n = M M - N + 1 ω n = 1 .
The computational methods of Δ X are:
1, utilize the difference formula of formula 1-1 to obtain difference set { Δ X n| n=M ..., M-N+1}.
ΔX n＝X n-X n-1 (1-1)
2, utilize { Δ X n| n=M ..., M-N+1} obtains prediction drift Δ X, and computing formula is as follows:
ΔX = 2 ( N - 1 ) 2 ( N - 1 ) ΔX M + 2 ( N - 1 ) - 3 2 ( N - 1 ) ΔX M - 1 + · · · + 1 2 ( N - 1 ) ΔX M - N + 1
In the present embodiment, to the statistical of historical nodal information statistics, adopt by the hour, day, week, month mode carry out report form statistics.
Embodiment five
Present embodiment is an another preferred implementation of the present invention, as Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, shown in Figure 6, adopts following operating procedure:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
C1, the node device information that filtration collects according to the alarm switch state information;
C21, will greater than the upper limit alarm threshold values and less than the node device information of upper limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm;
C22, will less than the lower limit alarming threshold value and greater than the node device information of lower limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm.
C3, to surpassing the node machine hardware information of shutdown threshold values, issue fault alarm information and closed node machine.
D1, from group of planes monitor message database, extract historical node device information;
D2, predict the occurrence value of next time period and issue early warning information according to the historical node device information of extracting and the present node facility information that collects;
D3, historical nodal information is carried out analytic statistics.
In the present embodiment, compare with embodiment four, the caution warning message with by send to designated mobile phone note, to the assigned address send Email and on monitoring host computer display alarm information, three kinds of modes are issued.
Embodiment six
Present embodiment is an another preferred implementation of the present invention, as Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6, shown in Figure 7, adopts following operating procedure:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
C1, the node device information that filtration collects according to the alarm switch state information;
C21, will greater than the upper limit alarm threshold values and less than the node device information of upper limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm;
C22, will less than the lower limit alarming threshold value and greater than the node device information of lower limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm.
C31, will issue short message, Email as fault alarm information and on management host, alarm, and close this node machine greater than the shut down node machine hardware information of threshold values of the upper limit;
C32, will issue short message, Email as fault alarm information and on management host, alarm, and close this node machine less than the shut down node machine hardware information of threshold values of lower limit.
D1, from group of planes monitor message database, extract historical node device information;
D2, predict the occurrence value of next time period and issue early warning information according to the historical node device information of extracting and the present node facility information that collects.
D3, historical nodal information is carried out analytic statistics.
In the present embodiment, compare with embodiment five, the shutdown fault alarm information is to show fault alarm information by reaching to designated mobile phone transmission note, to the assigned address send Email on monitoring host computer, and three kinds of modes are issued.
Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although the present invention is had been described in detail with reference to the foregoing description, those of ordinary skill in the field are to be understood that: still can make amendment or be equal to replacement the specific embodiment of the present invention, and do not break away from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of the claim scope of the present invention.

Claims (7)

1, a kind of intelligent computers group system monitoring method is characterized in that, comprises following operating procedure:
Node device information in A, the collection group of planes;
B, deposit the facility information that collects in the group monitoring information database;
C, from the facility information that collects, filter out warning message and report to the police or shutdown;
The facility information that D, basis collect is issued early warning information and is carried out the historical information analytic statistics.
2, intelligent computers group system monitoring method as claimed in claim 1 is characterized in that described steps A is carried out following concrete steps:
The following software information of A1, collecting computer cluster nodes machine: node ID, host name, OS name, operating system version, cpu type, CPU frequency, CPU quantity, memory size, disk size, network interface card quantity, IP address, the utilization rate of CPU, memory usage;
The following hardware information of A2, collecting computer cluster nodes machine: CPU voltage, mainboard voltage, cpu temperature, housing temperature, rotation speed of the fan;
A3, gather following exchanger information: switch manufacturer, switch model, IP address, switch ports themselves number, switch VLAN number, port bandwidth, VLAN numbering, inflow velocity, the rate of outflow, port type at the snmp protocol layer;
A4, gather following disk array information: disk array sequence number, cpu type, buffer memory capacity, IP address, disk number, Logical Disk number, logical volume number, Logical Disk ID, Logical Disk capacity, RAID type, Logical Disk presence, disk size, SCSI ID, disk running status at the snmp protocol layer.
3, intelligent computers group system monitoring method as claimed in claim 1 is characterized in that described step B carries out following concrete steps:
B1, in group monitoring software information database, deposit the software information that collects in;
B2, in group monitoring hardware information database, deposit the hardware information that collects in;
B3, in group monitoring disc information database, deposit the disc information that collects in;
B4, in group monitoring exchanger information database, deposit the exchanger information that collects in.
4, intelligent computers group system monitoring method as claimed in claim 1 is characterized in that described step C carries out following concrete steps:
C1, the node device information that filtration collects according to the alarm switch state information;
C2, to surpassing the node device information of alarming threshold value, issue caution warning message;
C3, to surpassing the node machine hardware information of shutdown threshold values, issue fault alarm information and closed node machine.
5, intelligent computers group system monitoring method as claimed in claim 1 is characterized in that described step D comprises following concrete steps:
D1, from group of planes monitor message database, extract historical node device information;
D2, predict the occurrence value of next time period and issue early warning information according to the historical node device information of extracting and the present node facility information that collects;
D3, historical nodal information is carried out analytic statistics.
6, as claim 1 or 4 described intelligent computers group system monitoring methods, it is characterized in that described step C2 carries out following concrete steps:
C21, will greater than the upper limit alarm threshold values and less than the node device information of upper limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm;
C22, will less than the lower limit alarming threshold value and greater than the node device information of lower limit shutdown threshold values as caution warning message issue short message, Email and on management host, alarm.
7, as claim 1 or 4 described intelligent computers group system monitoring methods, it is characterized in that described step C3 carries out following concrete steps:
C31, will issue short message, Email as fault alarm information and on management host, alarm, and close this node machine greater than the shut down node machine hardware information of threshold values of the upper limit;
C32, will issue short message, Email as fault alarm information and on management host, alarm, and close this node machine less than the shut down node machine hardware information of threshold values of lower limit.
CN 200610112386 2006-09-04 2006-09-04 Intelligent computers group monitoring method Pending CN1929411A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075348A (en) * 2010-12-14 2011-05-25 深圳市金宏威实业发展有限公司 Remote-end network monitoring method, system and switch
CN103067485A (en) * 2012-12-25 2013-04-24 曙光信息产业(北京)有限公司 Disk monitoring method for cloud storage system
CN103530218A (en) * 2013-10-09 2014-01-22 韩金倡 Monitoring triggering method based on behavior detection
CN105791028A (en) * 2016-04-26 2016-07-20 浪潮(北京)电子信息产业有限公司 Monitoring method, server and system of server cluster

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075348A (en) * 2010-12-14 2011-05-25 深圳市金宏威实业发展有限公司 Remote-end network monitoring method, system and switch
CN103067485A (en) * 2012-12-25 2013-04-24 曙光信息产业(北京)有限公司 Disk monitoring method for cloud storage system
CN103530218A (en) * 2013-10-09 2014-01-22 韩金倡 Monitoring triggering method based on behavior detection
CN105791028A (en) * 2016-04-26 2016-07-20 浪潮(北京)电子信息产业有限公司 Monitoring method, server and system of server cluster

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Open date: 20070314