EP-4740556-A1 - METHOD AND SYSTEM FOR OUTLIER DETECTION AND ALTERNATE ROUTE SUGGESTION

Abstract

The present disclosure provides a method and system for routing outlier detection and suggesting alternative route The method involves a fetching unit (202) retrieving a status code from a response header received from a first remote server associated with at least one producer network function (NF). A determining unit (204) assesses whether the fetched status code indicates an error. A storing unit (206) keeps a count of each error occurrence. A predicting unit (208) employs a trained model [304] to forecast error thresholds based on the error counts. A comparator (210) compares the error counts with the predicted thresholds. If a threshold is breached, a processing unit (212) identifies a second remote server corresponding to another producer NF to handle the network traffic associated with the initial producer NF thereby enhancing network reliability and efficiency by dynamically rerouting traffic in response to detected anomalies.

Inventors

• BISHT, SANDEEP
• PANDEY, PRASHANT
• YADAV, RAVINDRA
• BHATNAGAR, AAYUSH
• SINHA, ANURAG
• Ansari, Ezaj

Assignees

• Jio Platforms Limited

Dates

Publication Date

20260513

Application Date

20240611

Claims (1)

1. ^ CLAIMS We Claim: 1. A method for outage detection and suggesting alternate route, the method comprising: fetching, by a fetching unit [202], a status code from a response header received from a first remote server that corresponds to at least one producer network function (NF); determining, by a determining unit [204], if the fetched status code corresponds to at least one error; maintaining, by a storing unit [206], a count of error corresponding to each of the at least one error; predicting, by a predicting unit [208] using a trained model [304], at least one error threshold based on the count of error corresponding to each of the at least one error; comparing, by a comparator [210], the count of error with the corresponding predicted at least one error threshold; and based on the comparison if the predicted at least one error threshold is breached, determining, by a processing unit [212], a second remote server that corresponds to at least one another producer NF to serve network traffic associated with the at least one producer NF. 2. The method as claimed in claim 1, wherein the method comprises routing, by the processing unit [212], the network traffic from the at least one producer NF to the at least one another producer NF. 3. The method as claimed in claim 1, wherein routing the network traffic is based on a user input. 4. The method as claimed in claim 1, wherein the response header is Hypertext Transfer Protocol 2 (Http2). 5. The method as claimed in claim 1, wherein the method comprises: identifying, by an identifying unit [214], a response timeout from the first remote server based on the determined at least one error; and maintaining, by the storing unit [206], a count of the identified response timeout. 6. The method as claimed in claims 1, wherein predicting the at least one error threshold is based on at least one key parameter. 7. The method as claimed in claim 6, wherein the at least one key parameter comprises at least one of a current remote server Transactions Per Second (TPS), a Key Performance Indicators (KPIs), a second remote server TPS, a second remote server KPIs, a load capacity of the first remote server, and a load capacity of the second remote server. ϯϱ^ ^ ^ 8. The method as claimed in claim 1, wherein the trained model [304] is trained based on a historical network data to enhance accuracy of prediction of the least one error. 9. A system for outage detection and suggesting alternate route, the system comprises: a fetching unit [202] configured to fetch a status code from a response header received from a first remote server that corresponds to at least one producer network function (NF); a determining unit [204] configured to determine if the fetched status code corresponds to at least one error; a storing unit [206] configured to maintain a count of error corresponding to each of the at least one error; a predicting unit [208] configured to predict using a trained model [304], at least one error threshold based on the count of error corresponding to each of the at least one error; a comparator [210] configured to compare the count of error with the corresponding predicted at least one error threshold; and based on the comparison if the predicted at least one error threshold is breached, a processing unit [212] is configured to determine a second remote server that corresponds to at least one another producer NF to serve network traffic associated with the at least one producer NF. 10. The system as claimed in claim 9, wherein the processing unit is configured to rout the network traffic from the at least one producer NF to the at least one another producer NF. 11. The system as claimed in claim 9, wherein routing the network traffic is based on a user input. 12. The system as claimed in claim 9, wherein the response header is Hypertext Transfer Protocol (Http2). 13. The system as claimed in claim 9, comprises: an identifying unit configured to identify a response timeout from the first remote server based on the determined at least one error; and the storing unit configured to maintain a count of the identified response timeout. 14. The system as claimed in claims 9, wherein predicting the at least one error threshold is based on at least one key parameter. 15. The system as claimed in claim 14, wherein the at least one key parameter comprises at least one of a current remote server Transactions Per Second (TPS), a Key Performance Indicators (KPIs), a second remote server TPS, a second remote server KPIs, a load capacity of the first remote server, and a load capacity of the second remote server. 16. The system as claimed in claim 9, wherein the trained model [304] is trained based on a historical network data to enhance accuracy of prediction of the least one error. ϯϲ^ ^ ^ 17. A non-transitory computer-readable storage medium storing instruction for outage detection and suggesting alternate route, the storage medium comprising executable code which, when executed by one or more units of a system, causes: a fetching unit [202] to fetch a status code from a response header received from a first remote server that corresponds to at least one producer network function (NF); a determining unit [204] to determine if the fetched status code corresponds to at least one error; a storing unit [206] to maintain a count of error corresponding to each of the at least one error; a predicting unit [208] to predict using a trained model [304], at least one error threshold based on the count of error corresponding to each of the at least one error; a comparator [210] to compare the count of error with the corresponding predicted at least one error threshold; and based on the comparison if the predicted at least one error threshold is breached, a processing unit [212] to determine a second remote server that corresponds to at least one another producer NF to serve network traffic associated with the at least one producer NF.^ ϯϳ^ ^

Description

^ METHOD AND SYSTEM FOR OUTLIER DETECTION AND ALTERNATE ROUTE SUGGESTION ϱ^ FIELD OF INVENTION [0001] The present disclosure relates generally to the field of wireless communication systems. More particularly, the present disclosure relates to methods and systems for outlier detection and alternate route suggestion. ϭϬ^ BACKGROUND [0002] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only ϭϱ^ to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art. [0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and ϮϬ^ advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second-generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. 3G technology marked the introduction of high-speed internet access, mobile video calling, and Ϯϱ^ location-based services. The fourth-generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth-generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication ϯϬ^ technology has become more advanced, sophisticated, and capable of delivering more services to its users. ϭ^ ^ ^ [0004] Existing solutions for routing outlier detection and alternate route suggestion have several shortcomings that limit their effectiveness in maintaining optimal performance and user experience in telecommunication networks. Firstly, conventional methods often rely on static routing mechanisms that lack the ϱ^ flexibility to adapt to changing network conditions, resulting in suboptimal routing decisions. This can lead to prolonged periods of service degradation when network function failures occur, as these systems are slow to identify and respond to such issues. Furthermore, existing techniques employ rudimentary error detection methods that fail to leverage advanced analytical techniques, such as artificial ϭϬ^ intelligence, to predict and mitigate potential network anomalies. This results in a reactive rather than proactive approach to network management, where problems are addressed only after they have already impacted user services. Additionally, current solutions do not provide a seamless mechanism for rerouting traffic to alternate network functions, leading to a lack of resilience in the face of network ϭϱ^ failures. [0005] Thus, there is an imperative need in the art to provide methods and systems for outlier detection and alternate route suggestion that mitigates the problems of the prior arts such as lack of adaptability, slow response to network ϮϬ^ function failures, insufficient use of advanced analytical techniques, and inadequate mechanisms for traffic rerouting. OBJECTS OF THE PRESENT DISCLOSURE [0006] Some of the objects of the present disclosure, which at least one Ϯϱ^ embodiment disclosed herein satisfies are listed herein below. [0007] It is an object of the present disclosure to provide a system and method for outlier detection and alternate route suggestion. ϯϬ^ [0008] It is another object of the present disclosure to provide a system and method for outlier detection and alternate route suggestion that offer a dynamic and Ϯ^ ^ ^ adaptable approach to network routing, capable of quickly responding to network function failures and minimizing their impact on user services. [0009] It is another object of the present disclosure to provide a system and ϱ^ method for outlier detection and alternate route suggestion that leverage advanced analytical techniques, such as artificial intelligence, to predict network anomalies and thresholds, enabling proactive network management. [00010] It is another object of the present disclosure to provide a system and ϭϬ^ method for outlier detection and alternate route suggestion that facilitates seamless rerouting of network traffic to alternate network functions, ensuring resilience and continuity of service in the face of network failures. [00011] It is another object of the present disclosure to provide a system and ϭϱ^ method for outlier detection and alternate route suggestion that improve the overall key performance indicators (KPIs) of the network by enabling fast identification of network function failures and efficient traffic rerouting. [00012] It is yet another object of the present disclosure to provide a system and ϮϬ^ method for out