KR102740357B1 - Managing system based on comprehensive performance monitoring - Google Patents

Abstract

A system is disclosed, including a control server that collects and monitors performance data and control data for a customer's server system, and generates and transmits an alarm message based on the monitoring results.

Description

{MANAGING SYSTEM BASED ON COMPREHENSIVE PERFORMANCE MONITORING}

The present invention relates to a system that provides a comprehensive monitoring service including a performance-oriented agent and a control agent for a customer's IT system.

A server is a computer that connects multiple computers to a single computer via communication lines to store information for common use or to collect programs that use a lot of computer resources. Therefore, since servers are used by many users, it is necessary to periodically monitor server performance to prepare for server failures.

The baseline setting and trend analysis for confirming performance trends through past data of conventional system performance analysis estimated the confidence interval by moving average method based on given parameters (average value of collected performance data). That is, most of the conventional solutions have collection cycles set to 1 minute or more, so there is a problem that the resource utilization rate is distorted to a large extent and expressed smoothly, unlike the actual usage status of the system.

Korean Patent Registration No. 10-0926362 discloses a server performance management method and system. According to this technology, a performance management system can be provided, which includes: n (any natural number) servers that analyze one or more logs and profile information for a plurality of equipped hardware and installed applications, generate factor data according to a predetermined method, and store the factor data in the database; and a performance management web server that generates collection request information for factor data not stored in the database among factor data corresponding to items for generating an arbitrary report and transmits the collected data to each server, wherein each server analyzes the log and the profile information according to the collected request information, generates and transmits extended factor data according to a predetermined method, and the performance management web server generates and outputs a report according to a predetermined method using the factor data extracted from the database and the received extended factor data. Therefore, it is possible to facilitate the generation of reports on performance and usage status of heterogeneous servers.

Korean Patent Registration No. 10-0994310 discloses a technology for a method and system for estimating a performance index of a web server. According to this technology, the technology may include a step of extracting sample data for selecting a performance index estimation model from a web server, a step of selecting a performance index estimation model corresponding to a performance index according to a resource of the web server by using a distribution of the extracted sample data, and a step of determining parameters of the performance index estimation model for optimizing the selected performance index estimation model.

One aspect of the present invention discloses a system for providing data collection, analysis and reporting, including a performance-centric agent and a control agent, for a customer's server system.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

The system of the present invention collects and monitors performance data and control data for a customer's server system, and generates and transmits an alarm message based on the monitoring results.

Meanwhile, the control server may include a performance data collection unit that collects performance data including resource usage of at least one of CPU, memory, disk, and network through a performance agent installed in the customer's server system; a control data collection unit that collects control data including at least one failure situation of hardware failure, software failure, security issue, natural disaster, infrastructure failure, and human error through a control agent installed in the customer's server system; a backup management unit that executes a data backup of the customer's server system; and a comprehensive monitoring unit that generates an interface that enables real-time confirmation of performance data and control data collected by the performance data collection unit and the control data collection unit and provides the interface to the customer's mobile terminal, and if it is determined as a result of monitoring the performance data and the control data that an issue has occurred, transmits an alarm message of either SMS or email to the customer's mobile terminal, analyzes the performance data to predict future performance data, and derives a solution for resolving a performance issue that may occur according to the prediction of the performance data.

Meanwhile, the comprehensive monitoring department collects article data related to performance or failure issues of the server system through the website, calculates a regular inspection cycle based on the number of articles, the number of words related to performance or failure issues included in the articles, whether a performance issue occurs in the customer's server system within a given period, and whether a failure situation occurs in the customer's server system within a given period, and can perform regular inspections of the customer's server system according to the regular inspection cycle.

[Mathematical Formula 1]

(In mathematical expression 1, P is a regular inspection cycle, q is the number of articles collected from the website, wi is the number of words related to performance or failure issues included in the ith article, I is 1 if a performance issue occurs in the customer's server system within a given period, 0 if no issue occurs, P is 1 if a failure occurs in the customer's server system (10) within a given period, 0 if no issue occurs, ) stands for correction factor.)

According to one aspect of the present invention described above, it is possible to monitor the performance of a server system to prevent performance issues in advance, and to monitor real-time failure situations of the server system to provide a failure notification service.

Figures 1 and 2 are conceptual diagrams of a system according to one embodiment of the present invention.
Figure 3 is a conceptual diagram of a control server according to one embodiment of the present invention.

The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and these embodiments are provided only to make the disclosure of the present invention complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

The terminology used herein is for the purpose of describing embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless the context clearly dictates otherwise. The terms "comprises" and/or "comprising" as used herein do not exclude the presence or addition of one or more other elements, steps, or operations.

Figures 1 and 2 are conceptual diagrams of a system according to one embodiment of the present invention.

Referring to FIGS. 1 and 2, a system (1) according to one embodiment of the present invention can provide a comprehensive performance monitoring service for a customer's server system (10).

A system (1) according to one embodiment of the present invention can provide a comprehensive monitoring service by installing a performance agent and a control agent on a customer's server system (10).

The performance agent can collect performance data of the customer's server system (10), and the control agent can collect control data of the customer's server system (10).

The performance agent and the control agent can periodically collect performance data or control data in at least one of the formats of text log file, URL, DB connection, and TCP/IP protocol from the customer's server system (10) using a queue, and can monitor the same in real time.

A system (1) according to one embodiment of the present invention may include a control server (100) and a mobile terminal (200).

The control server (100) can execute a comprehensive performance monitoring service according to the present invention.

The control server (100) may be its own server for the comprehensive performance monitoring service according to the present invention, a cloud server, or a p2p (peer-to-peer) collection of distributed nodes.

The control server (100) can perform one or more of the operations, storage, reference, input/output, and control functions of a general computer, and can include an artificial neural network, which will be described later, based on input data.

The control server (100) may include a processor and a memory. The processor may perform a smart interior service according to the present invention and may include devices capable of performing the same. The processor may execute a program or control the control server (100). The program code executed by the processor may be stored in the memory. The memory may store related information for performing the service according to the present invention or store a program for implementing a method. The memory may be a volatile memory or a nonvolatile memory.

The control server (100) can transmit data to an external device or receive data from an external device using a network.

The control server (100) can train an artificial neural network and can also use an artificial neural network that has completed training. The processor can train or execute an artificial neural network stored in the memory, and the memory can store an artificial neural network that has completed training. The electronic device that trains the artificial neural network and the electronic device that uses the artificial neural network may be the same, but may also be separate.

Artificial intelligence is a computer system that implements some of the functions of the human brain, and can learn, guess, and judge on its own. As learning progresses, the probability of extracting an answer can increase. Artificial intelligence can be composed of learning and element technologies that utilize it. Artificial intelligence learning is an algorithm technology that classifies and learns features based on input data, and element technologies can be technologies that implement some of the functions of the human brain using learning algorithms.

Artificial intelligence is a technology that can easily approach problems that can have multiple answers probabilistically, and can logically and probabilistically infer the optimal cycle, method, plan, etc. according to any input data. Artificial intelligence's inference technology can include judging input data, optimization prediction, knowledge and probability-based inference, and preference-based planning.

Artificial neural networks are one of the learning algorithms in the field of machine learning, and they are programs that implement the connections between neurons and synapses in the brain. Artificial neural networks can create a neural network structure with a program and then train it to have the desired function. There may be errors, but they can learn based on huge data and output appropriate output data with input data. They can obtain output data that has statistically good results, and they have the advantage of being similar to human reasoning.

A network is a high-speed backbone network of a large communications network capable of providing large-capacity, long-distance voice and data services, and may be a next-generation wired or wireless network to provide the Internet or high-speed multimedia services.

If the network is a mobile communication network, it may be a synchronous mobile communication network or an asynchronous mobile communication network. As an example of an asynchronous mobile communication network, a WCDMA (Wideband Code Division Multiple Access) communication network can be mentioned. In this case, although not shown in the drawing, the network can include an RNC (Radio Network Controller). Meanwhile, although a WCDMA network is mentioned as an example, it can be a 3G LTE network, a 4G network, a next-generation communication network such as another 5G network, or an IP network based on IP.

The mobile terminal (200) may include any terminal capable of sending and receiving data over a network, such as a desktop computer, laptop, tablet, or smartphone.

The mobile terminal (200) may include at least one of the computational function, storage function, reference function, input/output function, and control function of a computer to perform the service according to the present invention.

The mobile terminal (200) can access a website or install an application to receive a service according to the present invention. The mobile terminal (300) can send and receive data through a website or application.

A system (1) according to one embodiment of the present invention can monitor the performance of a server system (10) to prevent performance issues in advance, and can provide a failure notification service by monitoring a real-time failure situation of the server system (10).

Figure 3 is a conceptual diagram of a control server according to one embodiment of the present invention.

Referring to FIG. 3, a control server (100) according to one embodiment of the present invention may include a performance data collection unit (110), a control data collection unit (120), a backup management unit (130), and a comprehensive monitoring unit (140).

The performance data collection unit (110) can collect performance data of the customer's server system (10) in real time through a performance agent installed in the customer's server system (10).

For example, performance data may include resource usage such as CPU, memory, disk, and network of the customer's server system (10).

The control data collection unit (120) can collect control data of the customer's server system (10) in real time through the control agent installed in the customer's server system (10).

For example, control data may include failure situations such as hardware failure, software failure, security issue, natural disaster, infrastructure failure, and human error of the customer's server system (10), and the control data collection unit (120) may collect control data in real time by utilizing control open source.

The backup management unit (130) can execute data backup of the customer's server system (10).

For example, the backup management unit (130) can perform regular backup management for important applications and operating systems as well as data backup of the customer's server system (10) by utilizing an open source backup solution.

The comprehensive monitoring unit (140) can monitor performance data and control data collected from the performance data collection unit (110) and the control data collection unit (120).

For example, the integrated monitoring unit (140) can provide an interface that enables real-time confirmation of performance data and control data using the customer's mobile terminal (200).

If the comprehensive monitoring unit (140) determines that an issue has occurred as a result of monitoring performance data and control data, it can transmit an alarm message to the customer's mobile terminal (200).

For example, the alarm message could be in the form of SMS or email.

The comprehensive monitoring unit (140) can analyze performance data to predict performance data and derive solutions to resolve performance issues that may arise based on the prediction of performance data.

Meanwhile, the comprehensive monitoring department (140) can collect article data related to performance or failure issues of the server system through the website, analyze the article data to calculate a server issue score, and set a regular inspection cycle for the server system (10) based on the server issue score.

[Mathematical Formula 1]

In mathematical expression 1, P is a regular inspection cycle, q is the number of articles collected from the website, wi is the number of words related to performance or failure issues included in the ith article, I is 1 if a performance issue occurs in the customer's server system (10) within a given period, 0 if no issue occurs, P _s is 1 if a failure occurs in the customer's server system (10) within a given period, 0 if no issue occurs, stands for correction factor.

According to mathematical expression 1, the more words related to server system performance or failure issues are included in an article, the shorter the regular inspection cycle becomes, thereby allowing regular inspections to be performed by reflecting the latest server issue trends.

For example, if the number of articles collected from the website is 5, And, If I=1, P _s =0, then substituting this into Equation 1, = can be calculated as 2.26.

The comprehensive monitoring department (140) can prevent problems that may occur in the server system (10) in advance by performing regular inspections on the customer's server system (10) every two days.

Meanwhile, the comprehensive monitoring unit (140) can store and analyze control data collected at regular intervals to calculate the monitoring level.

[Mathematical formula 2]

In mathematical expression 2, L represents the monitoring level, S ₀ represents the number of types of control data, s ₀ represents the average number of occurrences of issues according to the control data, and s represents the number of occurrences of issues according to the control data of the corresponding system.

According to mathematical expression 2, the more types of control data there are, the higher the value can be calculated, and the more number of issues occurring according to the average control data, the higher the value can be calculated.

For example, if the number of types of control data is 6, the average number of occurrences of issues according to control data is 1, and the number of occurrences of issues according to system control data is 2, can be produced as

The comprehensive monitoring unit (140) can set the number of mobile terminals (200) to which alarm messages are to be sent according to the monitoring level. For example, the comprehensive monitoring unit (140) can set the number of mobile terminals (200) for each monitoring level section in advance, and can use this to set the number of mobile terminals (200) to which alarm messages are to be sent.

Meanwhile, the comprehensive monitoring unit (140) can calculate a server management score and assign a grade based on the server management score. The comprehensive monitoring unit (140) can collect the average server system (10) recovery time, the number of issues occurring from performance data, the number of issues occurring from control data, and the number of server system (10) recovery times after transmitting an alarm message for a predetermined period of time, and can calculate the server management score by applying this to mathematical expression 3.

[Mathematical Formula 3]

In mathematical expression 3, S represents a server management score, Sc represents a server management basic score, R represents an average server system recovery time after sending an alarm message, c represents the number of occurrences of issues from performance data, and d represents the number of recovery times of the server system (10).

For example, if the server management base score is 10, and R=0.5, c=1, d=2, d=1, = can be calculated as 4.8.

The comprehensive monitoring unit (140) can assign a grade based on the server management score and manage the server system (10) by classifying it according to the server grade. The comprehensive monitoring unit (140) can share the text of alarm messages, solutions for resolving performance issues, etc. by grouping and managing multiple server systems (10) by grade.

Although the embodiments of the present invention have been described with reference to the attached drawings, those skilled in the art will understand that the present invention can be implemented in other specific forms without changing the technical idea or essential features thereof. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

1: Comprehensive performance monitoring-based control system
10: Server System
100: Control Server
200: Mobile terminal

Claims (3)

Includes a control server that collects and monitors performance data and control data for the customer's server system, and generates and transmits alarm messages based on the monitoring results;
The above control server,
A performance data collection unit that collects performance data including resource usage of at least one of CPU, memory, disk, and network through a performance agent installed in the customer's server system;
A control data collection unit that collects control data including at least one failure situation among hardware failure, software failure, security issue, natural disaster, infrastructure failure, and human error through a control agent installed on the customer's server system;
Backup management department that performs data backup of the customer's server system; and
A comprehensive monitoring unit that generates an interface that enables real-time confirmation of performance data and control data collected by the performance data collection unit and the control data collection unit and provides the interface to a customer's mobile terminal, and if it is determined that an issue has occurred as a result of monitoring the performance data and the control data, transmits an alarm message of either SMS or email to the customer's mobile terminal, analyzes the performance data to predict future performance data, and derives a solution for resolving performance issues that may occur based on the prediction of the performance data;
The above comprehensive monitoring department,
A system that collects article data related to performance or failure issues of a server system through a website, calculates a regular inspection cycle based on the number of articles, the number of words related to performance or failure issues included in the articles, whether a performance issue occurs in the customer's server system within a given period, and whether a failure occurs in the customer's server system within a given period, and performs regular inspections of the customer's server system according to the regular inspection cycle.
[Mathematical formula 1]

(In mathematical expression 1, P is a regular inspection cycle, q is the number of articles collected from the website, wi is the number of words related to performance or failure issues included in the ith article, I is 1 if a performance issue occurs in the customer's server system within a given period, 0 if no issue occurs, P _s is 1 if a failure occurs in the customer's server system (10) within a given period, 0 if no issue occurs, ) stands for correction factor.)
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