A SYSTEM AND METHOD FOR DETERMINING THE IMPACT OF TRANSMISSION INTERRUPTIONS ON MPLS NETWORK DEVICES, CIRCUITS, AND TRAFFIC USING ARTIFICIAL INTELLIGENCE.

Abstract

The invention relates to a method and system for monitoring MPLS networks transmitted over transmission infrastructure (DWDM, SDH, Radio Link), analyzing the technical impact of transmission layer interruptions on MPLS network devices and transmitted traffic, and determining traffic loss using artificial intelligence.

Description

1 TARIFF TRANSMISSION INTERRUPTIONS IN MPLS NETWORK DEVICES, CIRCUITS, AND THE IMPACT OF TRAFFIC WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE SYSTEM AND METHOD FOR DETERMINATION Technical Area The invention is a system and method for the operation and management of telecommunication networks. It is related to. The invention specifically applies to transmissions carried over transmission infrastructure (DWDM, SDH, Radio Link). Monitoring MPLS networks involves identifying interruptions occurring at the transmission layer in MPLS 10. Analysis of the technical impact on network devices and transmitted traffic. a method and system for determining the loss with the help of artificial intelligence It is related. State of the Art Today, in telecommunication networks, MPLS networks distribute data traffic to specific services. It is used for transportation in accordance with quality requirements. MPLS Network traffic, service, and circuit information are monitored through various monitoring systems. is being transmitted via transmission networks such as DWDM, SDH, and radio links, which carry the traffic in question. Circuit and topology information related to their infrastructure is stored in network management systems. In the current state of the technology, MPLS and transmission layers are typically located on different network 20 They are monitored independently through management and monitoring systems. Traffic and circuit information for MPLS networks is monitored through monitoring systems such as Cacti. While this is done, circuit and topology information belonging to transmission infrastructures are handled separately by network management. They are stored in systems. These systems include transmission and MPLS. By evaluating the data from the layers together, the dependencies between the layers are 25. There is no integrated structure that automatically derives these relationships. In current implementations, an interruption occurring in the transmission layer can disrupt MPLS. The impact on services is mostly that MPLS devices become inaccessible or This is detected as a result of the generation of service alarms. This approach is reactive in nature. Therefore, which MPLS devices and circuits would be affected by a transmission interruption? 30 2 how much traffic loss it will cause and what impact it will have before the outage occurs This cannot be determined automatically. However, circuit mapping between the transmission and MPLS layers manual definitions or static configurations in existing algorithms and applications It is based on. Therefore, in a possible transmission link interruption scenario, 5 The MPLS circuits that will be affected and the services that will continue to operate should be determined in advance. It is not possible to calculate this. This situation occurs in network operation processes. This increases the need for manual analysis, delays impact analysis, and hinders outage management. This leads to inefficiency. In the known state of the art, the dependencies between layers of applications are 10. because it cannot analyze dynamically and automatically, in the transmission layer Accurate, rapid, and quantitative assessment of the technical impact of disruptions on MPLS networks. A technical problem arises in that it cannot be determined as such. As a result of the research conducted on this subject, “Systems and Patent 15 titled "Methods for Managing Multi-Layer Communication Networks" The application was encountered. The system is an IP in a multi-layered communication network. optical device loses communication as a result of controlled deactivation of the port. port identification or the identification of ports serving the same source and destination sites. It describes the pairing of IP and optical layer ports through this method. However, These requests include historical outage data of the inter-layer dependencies created. 20 and AI-assisted analysis using the traffic behavior of MPLS devices. MPLS will be affected by possible or actual transmission interruptions. Predicting the location of devices, circuits, and ring structures, and identifying which ones will be lost or misdirected. The amount of traffic to be changed takes into account the traffic volume per circuit and priority levels. It does not mention a solution that allows for quantitative calculation by taking the data. 25 In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, an improvement is needed in the relevant technical field. It has been made. Purpose of the Invention The invention was created by drawing inspiration from existing situations and addressing the aforementioned drawbacks. 30 It aims to solve the problem. 3 The main purpose of the invention is to prevent or mitigate the effects occurring in the transmission layer. a potential disruption to MPLS network devices, links, circuits and transmitted traffic The goal is to develop a system and method that automatically determines the technical impact. Another objective of the invention is to process traffic and circuit information of MPLS networks using Cacti-based technology. Network 5 provides circuit and topology information related to the transmission infrastructure from monitoring systems. The goal is to create a system and method derived from management systems. Another purpose of the invention is to analyze traffic and circuit information and transmission data belonging to MPLS networks. an infrastructure that links circuit and topology information through common identifiers The goal is to establish a system and method. Another objective of the invention is to reduce the dependencies between the MPLS and transmission layers. A circuit and identifier matching system that outputs data without the need for manual definitions. The aim is to present a system and method that includes a mechanism. Another purpose of the invention is to facilitate transmission links and the signals carried through those links. A system that creates a multi-layered dependency structure among MPLS circuits, and The goal is to create a method. 15 Another objective of the invention is to analyze the created multi-layered dependency structure using artificial intelligence. The goal is to develop a system and method that operates using supported analysis algorithms. Another purpose of the invention is to address any issues occurring in a transmission link or circuit. MPLS that would be affected in a current or likely outage scenario. a system and method that automatically detects links, devices and circuits 20 It is to create. Another aim of the invention is to prevent a disruption in the transmission layer before the interruption occurs. A system and method for calculating the extent of the impact of an outage on an MPLS network. to create. Another aim of the invention is to detect a 25 interruption occurring in the transmission layer. a system that enables rapid identification of affected MPLS elements and The goal is to create a method. Another objective of the invention is to protect traffic carried over affected MPLS links and circuits. a quantitative calculation of the amount through traffic impact calculation mechanisms The goal is to create systems and methods. 30 4 Another purpose of the invention is to address or mitigate the effects occurring in the transmission layer. numerical data revealing the technical impact of a potential outage on the network. The goal is to create a system and a method. Another purpose of the invention is to eliminate the effect that requires manual analysis and causes delay. By automating the evaluation processes, outage management becomes faster and 5 The goal is to create a system and method that ensures its efficient implementation. Another purpose of the invention is monitoring and analysis used in network operation centers (NOCs). Within the scope of these systems, interruptions occurring in the transmission layer of the MPLS network AI-powered analysis of the technical impact of devices and the traffic being transported. It is done. 10 To achieve the purposes described above, the invention is used in telecommunication networks. interruptions occurring or likely to occur in the transmission layer This study aims to determine the technical impact of MPLS network devices and the traffic being transmitted. It is a system. Accordingly, the system is:  Traffic, bandwidth, and status data for MPLS devices and links are collected periodically. At least one Cacti-based MPLS monitoring data source providing the data in series,  Containing circuit, link and topology information of the transmission infrastructure, and the most effective way to detect interruptions and risks in the transmission layer a small transmission network management system (NMS),  MPLS 20 obtained from the aforementioned Cacti-based MPLS monitoring data source obtained from the aforementioned transmission network management system with its circuits automatically matches transmission circuits via common identifiers and at least one circuit that eliminates manual dependency between layers and identifier matching module,  MPLS 25 matched by the aforementioned circuit and identifier matching module multilayer dependency relationships between circuits and transmission circuits Identifying the MPLS elements that will be affected by transmission interruptions and is triggered by them. at least one dependency map creation module,  The dependency map generated by the aforementioned dependency map creation module Possible or actual transmission using layered dependency relationships 30 AI will identify MPLS devices, circuits, and links that will be affected by outages. at least one AI-powered effect that predicts and classifies using algorithms analysis module,  will be affected by the aforementioned AI-powered impact analysis module quantitatively the amount of traffic carried over the designated MPLS circuits calculates and measures the magnitude and impact of the outage on the network using numerical data. at least one traffic impact calculation module that reveals,  Presenting the analysis results to operators in a visual and reported format. 5 at least one results visualization and reporting module It includes. The invention also addresses issues occurring in the transmission layer of telecommunication networks. incoming or potential interruptions affect MPLS network devices and the traffic being transmitted. 10 It also includes the method for determining its technical impact. Accordingly, method;  MPLS devices, MPLS circuits, and the aforementioned MPLS circuits Information regarding the transmitted traffic is obtained from a Cacti-based MPLS monitoring data source. collection, 15  relating to transmission circuits, fiber optic routes and physical connections Obtaining information from the transmission network management system,  Circuits commonly used in data collected from MPLS and transmission layers circuit and identifier numbers, identifiers and topological information Determined via the matching module, 20  The circuit numbers mentioned for MPLS circuits and transmission circuits, Circuit and identifier matching via identifiers and topological information. pairing via the module,  Which MPLS circuit corresponds to which transmission as a result of the aforementioned matching? Determining that it is transmitted via link or fiber route, 25  The matched data is processed by the dependency map creation module Multilayered dependency between MPLS circuits and transmission infrastructure deriving their relationships in a graphical and logical structure,  the multi-layered dependency structure created, historical outage data and ring or traffic behavior of MPLS devices in link mode using artificial intelligence 30 Analyzed through a supported impact analysis module,  Scenario-based predictions for potential transmission interruptions that have not yet occurred MPLS devices, MPLS circuits or ring circuits that will be affected by being manufactured Predicting the impact of structures through an AI-powered impact analysis module. (1008), 35 6  the amount of traffic that will be lost or redirected in the event of an interruption, Traffic impact calculation based on information regarding affected MPLS circuits. Quantitative calculation through module (106),  When calculating the mentioned traffic volume per MPLS circuit Consideration of the volume of traffic carried and priority levels, 5  the resulting impact on MPLS devices, MPLS circuits and traffic volumes Graphics, tables, and reports through the visualization and reporting module. in this condition presented to the operator It includes the steps involved in the process. The structural and characteristic features and all the advantages of the invention are given in the figures below. This becomes clearer thanks to the detailed explanation written with references to these figures. This will be understood as such, and therefore the evaluation will also take these forms and detailed explanations into account. This should be done taking that into consideration. Figures to Help Understand the Invention 15 Figure 1 shows a schematic representation of the system that is the subject of the invention. Figure 2 shows the flowchart of the method described in the invention. Explanation of Part References 101. Cacti-based MPLS monitoring data source 102. Transmission Network Management System (NMS) 20 103. Circuit and identifier matching module 104. Addiction map creation module 105. AI-powered impact analysis module 106. Traffic impact calculation module 107. Results visualization and reporting module 25 1001. MPLS devices, MPLS circuits, and the aforementioned MPLS circuits. Information regarding traffic carried over it is based on Cacti-based MPLS monitoring data. collected from the source 1002. Regarding transmission circuits, fiber optic routes and physical connections. Obtaining information from the transmission network management system 30 7 1003. Commonly used in data collected from MPLS and transmission layers. Determining circuit numbers, identifiers, and topological information. 1004. The aforementioned circuit numbers for MPLS circuits and transmission circuits, Matching via identifiers and topological information 1005. Based on the aforementioned matching results, which MPLS circuit corresponds to which transmission 5? determining whether it is transmitted via link or fiber optic route 1006. Processing of matched data and transmission infrastructure via MPLS circuits. a graphical and logical structure of the multi-layered dependency relationships between them removal in case of 1007. The multi-layered dependency structure created, historical outage data, and 10 Analysis of traffic behavior of MPLS devices in ring or link configurations. 1008. Scenario-based analysis for potential transmission interruptions that have not yet occurred. Predictions are made to identify the MPLS devices, MPLS circuits, or rings that will be affected. Predicting the structures 1009. The amount of traffic that will be lost or diverted in the event of an outage is 15. quantitative calculation based on information regarding the affected MPLS circuits 1010. When calculating the mentioned traffic volume, per MPLS circuit taking into account the volume of traffic being transported and its priority levels 1011. Affected MPLS devices, MPLS circuits and traffic volumes 20 Detailed Description of the Invention This detailed explanation describes the preferred system and method for the invention. Their structures are explained solely to facilitate a better understanding of the subject. The invention relates to a malfunction occurring in the transmission layer of telecommunication networks or The potential disruptions that may occur affect MPLS network devices and the traffic being transmitted. It is a system for determining the technical effect. The invention is shown in Figure 1. A schematic representation of the system is provided. Accordingly, the system consists of MPLS devices and The best way to provide traffic, bandwidth, and status data for links in time series. A small Cacti-based MPLS monitoring data source (101), a circuit belonging to the transmission infrastructure, including link and topology information, and 30 transmission layer interruptions and risks. at least one transmission network management system (NMS) (102) that enables detection, MPLS obtained from the aforementioned cacti-based MPLS monitoring data source (101) obtained from the transmission network management system (102) mentioned with its circuits 8 automatically matches transmission circuits via common identifiers and At least one circuit and identifier that eliminates manual dependency between layers Matching module (103), mentioned circuit and identifier matching module (103) multilayer between transmission circuits and MPLS circuits matched by MPLS 5, which extracts dependency relationships and will be affected by transmission interruptions. at least one dependency map creation module (104) that identifies the elements mentioned Multilayer created by dependency map creation module (104) using dependency relationships to prevent possible or actual transmission interruptions Affected MPLS devices, circuits, and links are identified using artificial intelligence algorithms. at least one AI-powered impact analysis module that predicts and classifies (105), 10 will be affected by the mentioned AI-assisted impact analysis module (105) quantifying the amount of traffic carried over the designated MPLS circuits and at least one document that reveals the magnitude and impact of the outage on the network with numerical data. Traffic impact calculation module (106) provides operators with visual analysis results. and at least one results visualization and reporting module presenting the results in a reported format. 15 (107) is included. The system described in the invention is located within the multilayered network structure of a telecommunications network. The system consists of: transmission infrastructure (Layer-1), MPLS network (Layer-2 / 3). and is integrated with network monitoring / management systems (NMS, Cacti). 20 The larger structure in which the invention is located includes transmission devices (DWDM, SDH, Radio Link), MPLS routers, network monitoring systems, and operational support systems. It is an end-to-end telecommunications network formed. Within this structure, invention, network monitoring and It is located at the analysis layer and does not interfere with physical network devices, 25 It operates by collecting data from existing systems. The invention relates to the connection between transmission (Layer-1) infrastructure and MPLS (Layer-2 / 3) network. MPLS by extracting dependency relationships and identifying possible or actual transmission interruptions. circuits and their effects on the traffic being carried before or during the interruption It is an AI-powered system that makes instant predictions. 30 The system transmits data from the cacti-based MPLS monitoring data source (101) to the MPLS devices, MPLS It collects information about the circuits and the traffic carried through those circuits. DWDM, SDH through the Transmission Network Management System (NMS) (102) in real time 9 or transmission circuits, fiber optic routes and physical connections of radio links Information is obtained. The collected data is processed by the circuit and identifier matching module (103) using MPLS and common circuit numbers, identifiers, and topological features used in transmission layers The information is matched based on this. The identifier in question is, for example, the TEMOS number. 5 As a result of the matching process, it was determined which MPLS circuit corresponds to which transmission link. or it is determined that it is transported via fiber optic cable. The matched data is processed by the dependency map creation module (104). Thus, the multi-layered dependency between MPLS circuits and transmission infrastructure. The relationships are extracted in a graphical and logical structure. The resulting structure is a single 10 How a transmission interruption can affect multiple MPLS devices or MPLS circuits This shows that it can have an impact. The AI-powered impact analysis module (105) analyzes the generated dependency map, past interruption data and traffic behavior of MPLS devices in ring or link mode. It analyzes using. The AI-powered impact analysis module (105) is only 15 It generates scenario-based predictions for potential transmission interruptions that have not yet occurred, and which MPLS devices, MPLS circuits or ring structures will be affected It predicts. Traffic impact calculation module (106), AI-assisted impact analysis module (105) Based on the information obtained and identifying the MPLS circuits that will be affected, the outage will be 20. It quantitatively calculates the amount of traffic that will be lost or diverted in this situation. During the aforementioned calculation, the traffic volume and priority carried per MPLS circuit are considered. levels are taken into consideration. The analysis results obtained are visualized and reported in the results visualization module (107) It is presented to the operator via the Result visualization and reporting module (107), 25 The graphs and tables show the MPLS devices, MPLS circuits, and traffic volumes that will be affected. and displays them in the form of reports. This allows the operator to take precautions before an outage occurs. This enables quick and accurate decision-making in case of a disruption or interruption. In this way, the system ensures that interruptions in the transmission infrastructure are not affected by the MPLS network. By ensuring that the effects are managed with a proactive rather than reactive approach, network continuity is ensured. 30 and improves service quality.

Claims

REQUESTS 1. In telecommunication networks, incidents occurring in the transmission layer or Potential disruptions could affect MPLS network devices and the traffic being transmitted. It is a system for determining its technical impact, and its characteristic is;  Traffic, bandwidth, and status data for MPLS devices and links are collected over time. At least one Cacti-based MPLS monitoring data source (101) that provides a series of  Containing circuit, link and topology information of the transmission infrastructure, and the most effective way to detect interruptions and risks in the transmission layer a small transmission network management system (NMS) (102),  MPLS 10 obtained from the aforementioned cacti-based MPLS monitoring data source (101) obtained from the transmission network management system (102) mentioned with its circuits automatically matches transmission circuits via common identifiers and at least one circuit that eliminates manual dependency between layers and Identifier Matching Module (103),  15 matched by the circuit and identifier matching module (103) mentioned. Multilayer dependency between MPLS circuits and transmission circuits MPLS elements that reveal their relationships and will be affected by transmission interruptions at least one dependency map creation module (104),  generated by the aforementioned dependency map creation module (104) 20 possible or actual dependency relationships using multi-layered dependency relationships MPLS devices, circuits, and equipment that will be affected by transmission interruptions at least one that predicts and classifies links using artificial intelligence algorithms AI-powered impact analysis module (105),  will be affected by the mentioned AI-supported impact analysis module (105) Quantitatively, the amount of traffic carried over the designated MPLS circuits is 25 calculates and measures the magnitude and impact of the outage on the network using numerical data. at least one traffic impact calculation module (106) that reveals  Presenting the analysis results obtained to the operators in a visual and reported format at least one results visualization and reporting module (107) It includes. 30 2. In telecommunication networks, incidents occurring in the transmission layer or Potential disruptions could affect MPLS network devices and the traffic being transmitted. It is a method for determining its technical impact, and its characteristic is; 11  MPLS devices, MPLS circuits, and the aforementioned MPLS circuits Information on the traffic carried is from the Cacti-based MPLS monitoring data source (101) collection (1001),  relating to transmission circuits, fiber optic routes and physical connections Information is obtained from the transmission network management system (102) (1002), 5  Circuits commonly used in data collected from MPLS and transmission layers circuit and identifier numbers, identifiers and topological information Determination via the matching module (103) (1003),  The circuit numbers mentioned for MPLS circuits and transmission circuits, Circuit and identifier matching via identifiers and topological information 10 Matching via module (103) (1004),  Which MPLS circuit corresponds to which transmission as a result of the aforementioned matching? Determining that it is carried over a link or fiber route (1005),  by the module for creating a dependency map of the matched data (104) processed into multilayer 15 between MPLS circuits and transmission infrastructure Extraction of dependency relationships in a graphical and logical structure (1006),  the multi-layered dependency structure created, historical outage data and ring or traffic behavior of MPLS devices in link mode using artificial intelligence (1007) to be analyzed through the supported impact analysis module (105),  Scenario-based predictions for potential transmission interruptions that have not yet occurred 20 MPLS devices, MPLS circuits or ring circuits that will be affected by being manufactured through the artificial intelligence-supported impact analysis module of structures (105) prediction (1008),  the amount of traffic that will be lost or redirected in the event of an interruption, Traffic impact calculation based on information regarding affected MPLS circuits 25 Quantitative calculation through module (106) (1009),  When calculating the mentioned traffic volume per MPLS circuit taking into account the volume of traffic carried and priority levels (1010),  the resulting impact on MPLS devices, MPLS circuits and traffic volumes Through the visualization and reporting module (107), graphs, tables and 30 (1011) to be presented to the operator in the form of reports It includes the steps of the process.

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