Logical network analysis support program, logical network analysis support device, logical network analysis support method, and recording medium

Abstract

To provide a logical network analysis support program that allows the state of each logical network to be analyzed.SOLUTION: A logical network analysis support program of the present disclosure includes a meta-information generation procedure and an output procedure. The meta-information generation procedure generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network. The output procedure outputs the network meta-information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a logical network analysis support program, a logical network analysis support device, a logical network analysis support method, and a recording medium. [Background technology]

[0002] In recent years, the fifth generation mobile communication system (5G) has been developed, which enables high-speed, large-capacity, and low-latency communications. th A communication standard called fifth generation mobile networks (5G) is being used. One of the features of 5G is network slicing, as described in Patent Document 1. Patent Document 1 describes a terminal device that acquires notification information regarding a plurality of IP address spaces that respectively correspond to a plurality of network slices that provide access to individual data networks. The terminal device transmits a query message including identification information for identifying an access destination for data communication to a server device, receives a response message from the server device as a response to the query message, including an IP address corresponding to the identification information, and performs data communication with the access destination via a network slice that corresponds to an IP address space, among the plurality of IP address spaces, to which the IP address included in the response message belongs. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7364814 Summary of the Invention [Problem to be solved by the invention]

[0004] Considering the use cases that 5G will realize (4K / 8K video transmission, VR / AR, remote control, etc.), network traffic is expected to increase exponentially. In addition, because 5G requires high real-time performance and reliability, 5G network operators and managers are required to have a system that enables efficient operation and maintenance and security monitoring.

[0005] However, conventional network operation and management only analyzes user data communication or control communication information, making it difficult to analyze which communications are affecting a virtually constructed logical network such as 5G network slicing. Furthermore, this same issue is not limited to 5G network slicing, but is also present in the operation and management of virtually constructed logical networks.

[0006] Therefore, an object of the present disclosure is to provide a logical network analysis support program, a logical network analysis support device, a logical network analysis support method, and a recording medium that enable analysis of the state of each logical network. [Means for solving the problem]

[0007] In order to achieve the above object, the logical network analysis support program of the present disclosure includes: a meta-information generating step and an output step; the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A logical network analysis support program for causing a computer to execute each of the above procedures.

[0008] The logical network analysis support device of the present disclosure comprises: a meta information generating unit and an output unit; the meta-information generation unit generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output unit outputs the network meta information.

[0009] The logical network analysis support method of the present disclosure includes: It includes a meta information generating step and an output step, the meta-information generating step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. Each of the steps is a computer-implemented method.

[0010] The recording medium of the present disclosure includes: a meta-information generating step and an output step; the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A computer-readable recording medium on which a logical network analysis support program for causing a computer to execute each of the above procedures is recorded. [Effects of the Invention]

[0011] According to the present disclosure, it is possible to analyze the status of each logical network. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of a logical network analysis support apparatus according to the present disclosure. [Figure 2] FIG. 2 is a block diagram illustrating an example of a hardware configuration of a logical network analysis support apparatus according to the present disclosure. [Figure 3] FIG. 3 is a flowchart showing an example of a procedure performed by the logical network analysis support program of the present disclosure. [Figure 4] FIG. 4 is a table showing an example for explaining the generation of network meta information in the present disclosure. [Figure 5] FIG. 5 is a table showing an example for explaining the generation of network meta information in the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiments. In the following drawings, identical parts are designated by the same reference numerals. Furthermore, the descriptions of the embodiments can be used interchangeably unless otherwise specified, and the configurations of the embodiments can be combined unless otherwise specified. In the present disclosure, each drawing may apply to one or more embodiments.

[0014] In the present disclosure, the term "virtually constructed logical network" is not particularly limited and refers to, for example, a network virtually designed on a physical network. Specific examples of the "virtually constructed logical network" include a slice in 5G network slicing, a LAN logically divided in a virtual local area network (VLAN), a network configured on software in a software-defined network (SDN), a network virtually constructed in a cloud network, and a private network virtually constructed in a virtual private network (VPN).

[0015] [Embodiment 1] The logical network analysis support program of the present disclosure is a program for causing a computer to execute a meta-information generation procedure and an output procedure. The logical network analysis support program of the present disclosure can also be said to be a program for causing a computer to function as the meta-information generation procedure and the output procedure. Furthermore, the logical network analysis support program of the present disclosure can also be said to be a program for causing a computer to execute, for example, each step of the logical network analysis support method described below.

[0016] the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information.

[0017] For example, the term "procedure" in each of the steps can be read as "processing." The logical network analysis support program of the present disclosure may be recorded on a computer-readable recording medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), flash memory (e.g., solid state drive (SSD), USB flash memory, SD / SDHC card, etc.), optical disk (e.g., CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), and floppy disk (FD). The logical network analysis support program of the present disclosure (also referred to as a programming product or program product) may be distributed from an external computer. The "distribution" may be, for example, distribution via a communication network or a device connected via a wired connection. The logical network analysis support program of the present disclosure may be installed and executed on the device to which it is distributed, or may be executed without being installed. An information processing device capable of executing the logical network analysis support program of the present disclosure can be referred to as, for example, a logical network analysis support device of the present disclosure.

[0018] Next, the configuration of an example of a logical network analysis support device according to the present disclosure will be described with reference to FIG. 1. FIG. 1 is a block diagram showing an example of the configuration of a logical network analysis support device 10 according to the present disclosure (hereinafter also referred to as the present device 10). As shown in FIG. 1, the present device 10 includes a meta-information generation unit 11 and an output unit 12. Although not shown, the present device 10 may also include, for example, an input unit, an output unit, a display unit, and / or a storage unit. The meta-information generation unit 11 and the output unit 12 are capable of executing, for example, a meta-information generation procedure and an output procedure in the logical network analysis support program according to the present disclosure.

[0019] The device 10 may be, for example, a single device including the above-described units, or a device in which the units can be connected via a communication network. The device 10 can also be connected to an external device (described later) via the communication network. The communication network is not particularly limited and any known network can be used, for example, a wired or wireless network. Examples of the communication network include the Internet, the World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area Network (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), Local 5G, and LPWA. Examples of the wireless communication include direct communication between devices (Ad Hoc communication), infrastructure communication, and indirect communication via an access point. The device 10 may be incorporated into a server as a system. Furthermore, the present device 10 may be, for example, a personal computer (PC, for example, desktop or notebook type) on which the program of the present disclosure is installed, a smartphone, a tablet terminal, etc. The present device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the above-mentioned units is located on a server and the other units are located on a terminal.

[0020] 2 shows a block diagram of the hardware configuration of the device 10. The device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, and a communication device 107. The components of the device 10 are connected to each other via the bus 103 and their respective interfaces (I / F).

[0021] The central processing unit 101 cooperates with other components via a controller (such as a system controller or an I / O controller) and is responsible for overall control of the device 10. In the device 10, the central processing unit 101 executes, for example, the program of the present disclosure (the logical network analysis support program) and other programs, and also reads and writes various types of information. Specifically, for example, the central processing unit 101 functions as a meta information generator 11 and an output unit 12. The device 10 may include, as a computing device, other computing devices such as a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these.

[0022] The bus 103 can also be connected to, for example, external devices. Examples of the external devices include an external storage device (such as an external database), a printer, an external input device, an external display device, and an external imaging device. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.

[0023] The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 (described later), and the central processing unit 101 receives data from the memory 102 and executes the programs. The main memory may be, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0024] The storage device 104 is also referred to as an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive for reading and writing data from and to the recording medium. The recording medium is not particularly limited and may be, for example, an internal or external type, such as a hard disk (HD), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, or memory card. The storage device 104 may be, for example, a hard disk drive (HDD) or a solid state drive (SSD) in which the recording medium and drive are integrated. When the device 10 includes the storage unit, for example, the storage device 104 functions as the storage unit.

[0025] In the present device 10, the memory 102 and the storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used when the present device 10 executes processing. In this case, the memory 102 and the storage device 104 may store, for example, the above-mentioned information on users of the present device. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be stored in a distributed manner across multiple terminals using blockchain technology or the like.

[0026] The device 10 further includes, for example, an input device 105 and an output device 106. Examples of the input device 105 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone. Examples of the output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; a printer; and the like. In the first embodiment, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.

[0027] An example of processing by the logical network analysis support program of the present disclosure will be described in more detail with reference to FIG. 3. FIG. 3 is a flowchart showing an example of each procedure of the logical network analysis support program of the present disclosure. In the following description, an example will be described in which slices in 5G network slicing are visualized as at least one virtually constructed logical network, but the present disclosure is not limited to the following description. For example, the present disclosure is not limited to use in 5G communication technology, and can also be used in existing data communication technologies such as 3G and 4G, and new communication standards (e.g., 6G) established after the filing of the present disclosure.

[0028] The meta information generating unit 11 of the device 10 generates network meta information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network (S1, meta information generating procedure).

[0029] The communication control information of the logical network is, for example, information necessary for managing, configuring, and operating the logical network. The communication control information may include, for example, terminal identification information that identifies a terminal (UE: User Equipment) that accesses the logical network and is communicating. The terminal identification information is not particularly limited as long as it is information that can identify the terminal. Examples of the terminal identification information include identification information assigned to each terminal during communication, a telephone number, an email address, an ID, a password, an IP address, a MAC address, and device-specific information of the terminal (such as a terminal serial number or an International Mobile Equipment Identifier). When the network is a 5G standard network and the logical network is a slice of 5G network slicing, examples of the logical network identification information include a Slice and Service Type (SST), a Slice Differentiator (SD), a Packet Data Unit Session Identifier (PDU Session ID), and a QoS Flow Identifier (QFI). SST (Slice and Service Type) is, for example, label information for identifying different services and slices used in a 5G network. SD (Slice Differentiator) is, for example, label information for distinguishing multiple slices within the same SST. PDU Session ID (Packet Data Unit Session Identifier) ​​is, for example, information on a virtual session identifier for managing data transfer in a 5G network. QFI (QoS Flow Identifier) ​​is, for example, label information for identifying different QoS (Quality of Service) within a PDU session. When the network is a 5G standard network and the logical network is a slice of 5G network slicing, the meta information generation unit 11 can acquire the communication control information from, for example, a 5G core (5GC).The 5G core is, for example, a mobile core network system that accommodates 5G wireless.

[0030] The data communication information is, for example, information flowing through the logical network. The data communication information includes, for example, IP flow identification information, communication data volume information such as packet volume, etc. The data communication information may include, for example, terminal identification information for identifying a terminal (UE: User Equipment) that accesses the logical network and is communicating. The IP flow identification information is, for example, information for identifying a terminal communicating via the logical network. Examples of the IP flow identification information include IP addresses (e.g., Src IP (Source IP address), Dst IP (Destination IP address)), port numbers (e.g., Src Port (Source Port), Dst Port (Destination Port)), protocol identification information such as a protocol number (Proto), etc. When the network is a 5G standard network and the logical network is a slice of 5G network slicing, the meta information generation unit 11 can acquire the data communication information from, for example, a UPF (User Plane Function).

[0031] The meta information generating unit 11 can generate the network meta information by, for example, integrating the communication control information and the data communication information using the terminal identification information contained in the communication control information and the data communication information.

[0032] The meta-information generation unit 11 may also compress the network meta-information at predetermined intervals. In this case, the meta-information generation unit 11 may, for example, identify data communication information passing through the same logical network and compress the data communication information passing through the same logical network to compress the network meta-information. The meta-information generation unit 11 may, for example, identify data communication information of the same IP flow among the data communication information passing through the same logical network at the predetermined intervals and compress the data communication information of the same IP flow to compress the network meta-information. Specifically, the meta-information generation unit 11 may, for example, compress the network meta-information by integrating data communication information of the same IP flow passing through the same logical network at the predetermined intervals. The predetermined interval may, for example, be an interval that divides time, an interval that divides the amount of accumulated data, or a combination of these. The predetermined interval is not particularly limited and may be any interval that can be specified depending on, for example, the target data size, the purpose of analysis, the accuracy of analysis, etc. When the predetermined interval is an interval that divides time, it may be, for example, in units of seconds, such as 10 seconds or 30 seconds, or in units of minutes, such as 1 minute, 2 minutes, or 3 minutes, or may be in units of hours or days. Specifically, the meta information generation unit 11 extracts data communication information belonging to the same logical network (e.g., slice) from each piece of data communication information, for example, using the logical network identification information. Thereafter, based on the IP flow identification information, it identifies data communication information belonging to the same flow from the data communication information belonging to the same logical network. Then, it can generate the integrated communication information by summing up communication data volume information in the data communication information belonging to the same flow.

[0033] The processing of the meta information generation unit 11 will be described in more detail using FIG. 4. FIG. 4 is a table showing an example of data communication information and communication control information acquired by the meta information generation unit when the network is a 5G standard network and the logical network is a slice of 5G network slicing. The meta information generation unit 11 acquires, for example, terminal identification information and communication control information (SST, SD, PDU Session ID, PFI) from a 5G core of a 5G network system. The meta information generation unit 11 also acquires IP flow information as data communication information from the UPF of the 5G network system, and extracts IP flow identification information (Src IP (Source IP address), Dst IP (Destination IP address)), Src Port (Source Port), Dst Port (Destination Port)), protocol number (Proto), and packet amount (Packet num) of each flow from the IP flow information. Next, the meta information generating unit 11 can generate network meta information as shown in FIG. 4 by integrating the communication control information and the data communication information, using the terminal identification information as a trigger.

[0034] Next, the compression process of the network meta information by the meta information generation unit 11 will be described in more detail with reference to FIG. 5. FIG. 5 is a table showing an example of data communication information and communication control information acquired by the meta information generation unit when the network is a 5G network and the logical network is a slice of 5G network slicing. As shown in FIG. 5, the meta information generation unit 11 first extracts network meta information at a predetermined interval (for example, one minute). Then, the meta information generation unit 11 identifies data communication information belonging to the same logical network (slice) based on the logical network identification information (SST, SD, PDU Session ID, PFI) of the communication control information included in the network meta information. Next, the meta information generation unit 11 identifies the amount of packets belonging to the same slice and the same flow based on the IP flow identification information (Src IP (Source IP address), Dst IP (Destination IP address)), Src Port (Source Port), Dst Port (Destination Port)) and protocol number (Proto) included in the data communication information. As shown in FIG. 5, for example, by adding up the number of packets (Packet num) contained in network meta information belonging to the same slice and the same flow, the number of pieces of network meta information can be reduced and the network meta information can be compressed.

[0035] In 5G network slicing, the amount of traffic flowing through each slice will be enormous. In this disclosure, by compressing the network meta information as described above, a receiver of the network meta information can efficiently identify and analyze specific slice information from the vast amount of information.

[0036] Then, the output unit 12 outputs the network meta information (S2, output procedure). The output unit 12 may, for example, output the network meta information to the output device 106 of the device 10, or may output it to an external device. The output unit 12 may also, for example, visualize and output the network meta information. There are no particular limitations on how the meta information may be visualized, and examples include a graph display in which the vertical axis represents the communication volume for each logical network and the horizontal axis represents time.

[0037] The logical network analysis support method of the present disclosure is, for example, a method implemented by replacing the "procedures" in the logical network analysis support program of the present disclosure with "processes." Specifically, the logical network analysis support method of the present disclosure includes a meta-information generation process and an output process. The meta-information generation process generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network, and the output process outputs the network meta-information. The logical network analysis support method of the present disclosure can be implemented, for example, using the logical network analysis support device 10 of the present disclosure shown in FIG. 1 or FIG. 2. Note that the logical network analysis support method of the present disclosure is not limited to methods that use the logical network analysis support device 10. For example, the descriptions of the logical network analysis support program and logical network analysis support device of the present disclosure can be used to implement the logical network analysis support method of the present disclosure.

[0038] According to the logical network analysis support program disclosed herein, a meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network, and an output step outputs the network meta-information. The network analysis support program disclosed herein can output network meta-information that links data communication information with control communication information, enabling more efficient and detailed monitoring at the slice level. Therefore, according to the present disclosure, for example, only the metadata (such as communication volume, latency, and tunnel / content information) necessary for analyzing 5G communications can be extracted and passed to a traffic analysis device, security product, analytical AI, or other device that can utilize this information.

[0039] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0040] <Additional Notes> Some or all of the above embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) a meta-information generating step and an output step; the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A logical network analysis support program for causing a computer to execute each of the above procedures. (Appendix 2) 2. The logical network analysis support program according to claim 1, wherein the meta-information generating step compresses the network meta-information at predetermined intervals. (Appendix 3) The logical network analysis support program described in Appendix 2, wherein the meta information generation procedure identifies data communication information that passes through the same logical network at each predetermined interval, compresses the data communication information that passes through the same logical network, and compresses the network meta information. (Appendix 4) The logical network analysis support program described in Appendix 3, wherein the meta-information generation procedure identifies data communication information of the same IP flow from among data communication information passing through the same logical network at the predetermined interval, compresses the data communication information of the same IP flow, and compresses the network meta-information. (Appendix 5) 5. The logical network analysis support program according to claim 1, wherein the output step visualizes and outputs the network meta-information. (Appendix 6) A logical network analysis support program according to any one of appendices 1 to 5, wherein the logical network is a slice in network slicing. (Appendix 7) a meta information generating unit and an output unit; the meta-information generation unit generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output unit outputs the network meta information. (Appendix 8) 8. The logical network analysis support device according to claim 7, wherein the meta-information generation unit compresses the network meta-information at predetermined intervals. (Appendix 9) The logical network analysis support device described in Appendix 8, wherein the meta information generation unit identifies data communication information that passes through the same logical network at each predetermined interval, compresses the data communication information that passes through the same logical network, and compresses the network meta information. (Appendix 10) The logical network analysis support device described in Appendix 9, wherein the meta information generation unit identifies data communication information of the same IP flow from among data communication information passing through the same logical network at each predetermined interval, compresses the data communication information of the same IP flow, and compresses the network meta information. (Appendix 11) 11. The logical network analysis support device according to claim 7, wherein the output unit visualizes and outputs the network meta-information. (Appendix 12) 12. A logical network analysis support device according to any one of appendices 7 to 11, wherein the logical network is a slice in network slicing. (Appendix 13) It includes a meta information generating step and an output step, the meta-information generating step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A logic network analysis support method in which each of the steps is executed by a computer. (Appendix 14) 14. The logical network analysis support method according to claim 13, wherein the meta-information generating step compresses the network meta-information at predetermined intervals. (Appendix 15) The logical network analysis support method described in Appendix 14, wherein the meta information generation process identifies data communication information that passes through the same logical network at each predetermined interval, compresses the data communication information that passes through the same logical network, and compresses the network meta information. (Appendix 16) The logical network analysis support method described in Appendix 15, wherein the meta-information generation process identifies data communication information of the same IP flow from among data communication information passing through the same logical network at the predetermined interval, compresses the data communication information of the same IP flow, and compresses the network meta-information. (Appendix 17) 17. The logical network analysis support method according to any one of appendices 13 to 16, wherein the output step visualizes and outputs the network meta-information. (Appendix 18) A logical network analysis support method according to any one of appendices 13 to 17, wherein the logical network is a slice in network slicing. (Appendix 19) a meta-information generating step and an output step; the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A computer-readable recording medium on which a logical network analysis support program for causing a computer to execute each of the above procedures is recorded. (Appendix 20) 20. The recording medium according to claim 19, wherein the meta information generating step compresses the network meta information at predetermined intervals. (Appendix 21) The recording medium described in Appendix 20, wherein the meta information generation procedure identifies data communication information that passes through the same logical network at each predetermined interval, compresses the data communication information that passes through the same logical network, and compresses the network meta information. (Appendix 22) The recording medium described in Appendix 21, wherein the meta information generation procedure identifies data communication information of the same IP flow from among data communication information passing through the same logical network at the predetermined interval, compresses the data communication information of the same IP flow, and compresses the network meta information. (Appendix 23) 23. The recording medium according to any one of appendices 19 to 22, wherein the output step visualizes and outputs the network meta information. (Appendix 24) 24. The recording medium of any one of appendices 19 to 23, wherein the logical network is a slice in network slicing. [Industrial Applicability]

[0041] The network analysis support program disclosed herein can output network meta-information that links data communication information and control communication information, enabling more efficient and detailed monitoring on a slice-by-slice basis. Therefore, according to the present disclosure, for example, only the metadata (such as communication volume, delay, and tunnel / content information) necessary for analyzing 5G communications can be extracted and passed to traffic analysis devices, security products, analytical AI, and other devices that can utilize this information. Therefore, the present disclosure can be widely and usefully used in fields such as communications technology. [Explanation of symbols]

[0042] 10 Logical network analysis support device 11 Meta information generation unit 12 Output section 101 Central Processing Unit 102 memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices

Claims

1. a meta-information generating step and an output step; the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A logical network analysis support program for causing a computer to execute each of the above procedures.

2. 2. The logical network analysis support program according to claim 1, wherein said meta-information generating step compresses said network meta-information at predetermined intervals.

3. 3. The logical network analysis support program according to claim 2, wherein the meta-information generation procedure identifies data communication information passing through the same logical network at each predetermined interval, compresses the data communication information passing through the same logical network, and compresses the network meta-information.

4. 4. The logical network analysis support program of claim 3, wherein the meta-information generation procedure identifies data communication information of the same IP flow among data communication information passing through the same logical network at each predetermined interval, compresses the data communication information of the same IP flow, and compresses the network meta-information.

5. The logical network analysis support program according to claim 1 , wherein the output step visualizes and outputs the network meta-information.

6. 5. The logical network analysis support program according to claim 1, wherein the logical network is a slice in network slicing.

7. a meta information generating unit and an output unit; the meta-information generation unit generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output unit outputs the network meta information.

8. 8. The logical network analysis support device according to claim 7, wherein said meta-information generating unit compresses said network meta-information at predetermined intervals.

9. It includes a meta information generating step and an output step, the meta-information generating step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A logic network analysis support method in which each of the steps is executed by a computer.

10. a meta-information generating step and an output step; the meta-information generation step generates network meta-information that combines communication control information of at least one virtually constructed logical network with data communication information in the logical network; The output step outputs the network meta information. A computer-readable recording medium on which a logical network analysis support program for causing a computer to execute each of the above procedures is recorded.

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