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EP-4740395-A1 - METHOD AND SYSTEM FOR REPROCESSING OF DATA FOR DATA INTEGRITY

EP4740395A1EP 4740395 A1EP4740395 A1EP 4740395A1EP-4740395-A1

Abstract

The present disclosure relates to method and system for reprocessing of data for data integrity. The disclosure encompasses: receiving, at a receiving unit [204], a first performance data for one more base stations from a EMS server [104] for a first pre-defined time interval; computing, by a determination unit [206], one or more first KPIs based on the first performance data received for the first pre-defined time interval; receiving, at the receiving unit [204], a second performance data for the one or more base stations from the EMS server [104] for a second pre-defined time interval; computing, by the determination unit [206], one or more second KPIs based on the second performance data received for the second pre-defined time interval; and performing, by a processing unit [202], aggregation of the one or more second KPIs and the one or more first KPIs to generate one or more overall KPIs.

Inventors

  • Sankaran, Sundaresh
  • BHATNAGAR, AAYUSH
  • BHATNAGAR, PRADEEP KUMAR
  • VENKATRAMAN, Rajeshwari
  • KAPADIYA, Pratik
  • SHARMA, ABHISHEK

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260513
Application Date
20240614

Claims (19)

  1. 1. A method for reprocessing of data for data integrity, the method comprising: receiving, at a receiving unit [204], a first performance data for one more base stations from an Element management system (EMS) server [104] for a first pre-defined time interval; computing, by a determination unit [206], one or more first key performance indicators (KPIs) based on the first performance data received for the first pre-defined time interval; receiving, at the receiving unit [204], a second performance data for the one or more base stations from the Element management system (EMS) server [104] for a second predefined time interval; computing, by the determination unit [206], one or more second KPIs based on the second performance data received for the second pre-defined time interval; and performing, by a processing unit [202], aggregation of the one or more second KPIs and the one or more first KPIs to generate one or more overall KPIs.
  2. 2. The method as claimed in claim 1, the method further comprising storing, by a storage unit [210], the one or more first KPIs in a raw counter aggregation table.
  3. 3. The method as claimed in claim 1 , wherein the method for reprocessing of the data facilitates in identification of at least one missing base station in a periodic interval.
  4. 4. The method as claimed in claim 1, wherein a sliding window mechanism is used to receive and process the second performance data over the second pre-defined time interval for computation of the one or more second KPIs.
  5. 5. The method as claimed in claim 4, wherein the sliding window mechanism is implemented in a third pre-defined time interval.
  6. 6. The method as claimed in claim 1, wherein the method further comprising: compressing, by the processing unit [202], the first performance data; storing, by a storage unit [210], the compressed first performance data on a distributed file system; and reading, by a data recognition unit [208], the compressed first performance data of the first pre-defined time interval.
  7. 7. The method as claimed in claim 6, the method further comprising storing, by the storage unit [210], the one or more second KPIs in a raw counter aggregation table.
  8. 8. The method as claimed in claim 1, wherein the performance data for the second pre-defined time interval comprises performance data for the first pre-defined time interval.
  9. 9. The method as claimed in claim 6, the method further comprising storing, by the storage unit [210], the one or more overall KPIs in a raw counter aggregation table.
  10. 10. A system for reprocessing of data for data integrity, the system comprising: a receiving unit [204], configured to receive a first performance data for one more base stations from an Element management system (EMS) server [104] for a first pre-defined time interval; a determination unit [206], configured to compute one or more first key performance indicators (KPIs) based on the first performance data received for the first pre -defined time interval; the receiving unit [204], configured to receive a second performance data for the one or more base stations from the Element management system (EMS) server [ 104] for a second pre-defined time interval; the determination unit [206], configured to compute one or more second KPIs based on the second performance data received for the second pre-defined time interval; and a processing unit [202], configured to perform aggregation of the one or more second KPIs and the one or more first KPIs to generate one or more overall KPIs.
  11. 11. The system as claimed in claim 10, further comprises a storage unit [210] configured to store the one or more first KPIs in a raw counter aggregation table.
  12. 12. The system as claimed in claim 10, wherein the system for reprocessing of the data facilitates in identification of at least one missing base station in a periodic interval.
  13. 13. The system as claimed in claim 10, wherein the second performance data is received and processed using a sliding window mechanism over the second pre-defined time interval for computation of the one or more second KPIs.
  14. 14. The system as claimed in claim 13, wherein the sliding window mechanism is implemented in a third pre-defined time interval.
  15. 15. The system as claimed in claim 10, further comprises: the processing unit [202] to compress the first performance data; a storage unit [210], configured to store the compressed first performance data on a distributed file system; and a data recognition unit [208], configured to read the compressed first performance data of the first pre-defined time interval.
  16. 16. The system as claimed in claim 15, wherein the storage unit [210] is further configured to store the one or more second KPIs in a raw counter aggregation table.
  17. 17. The system as claimed in claim 10, wherein the performance data for the second pre-defined time interval comprises performance data for the first pre-defined time interval.
  18. 18. The system as claimed in claim 15, wherein the storage unit [210] is further configured to store the one or more overall KPIs in a raw counter aggregation table.
  19. 19. A non-transitory computer-readable storage medium storing instructions for reprocessing of data for data integrity system, the instructions include executable code which, when executed by one or more units of a system, causes: a receiving unit [204] of the system to receive a first performance data for one more base stations from an Element management system (EMS) server [104] for a first predefined time interval; a determination unit [206] of the system to compute one or more first key performance indicators (KPIs) based on the first performance data received for the first predefined time interval; the receiving unit [204] of the system to receive a second performance data for the one or more base stations from the Element management system (EMS) server [104] for a second predefined time interval; the determination unit [206] of the system to compute one or more second KPIs based on the second performance data received for the second pre-defined time interval; and a processing unit [202] of the system to perform aggregation of the one or more second KPIs and the one or more first KPIs to generate one or more overall KPIs.

Description

METHOD AND SYSTEM FOR REPROCESSING OF DATA FOR DATA INTEGRITY FIELD OF THE DISCLOSURE [0001] The present disclosure generally relates to data processing systems. More particularly, the present disclosure relates to a method and system for reprocessing of data for data integrity. BACKGROUND [0002] The following description of the 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 is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art. [0003] Element management system (EMS) is a managing system which collects and manages data from the network elements or nodes such as base stations of LTE, 5G or 6G network. The network elements or node or base stations send their performance statistics to the EMS. This data is stored in a database and used by various other entities for further analysis and taking actions for improving performance of the systems. [0004] Existing systems for managing and processing performance data in telecommunications networks face several challenges that can compromise data integrity and the accuracy of Key Performance Indicators (KPIs). One major issue is the connectivity problems between Northbound Interface (NBI) and Element Management Systems (EMS), which can result in partial or incomplete data being transmitted to the EMS. Additionally, issues at the EMS end, such as system failures or processing errors, can further exacerbate the problem of data loss or corruption. Another significant challenge is the loss of connectivity between network nodes and the EMS. This can occur due to various network-related issues, leading to nodes being unable to send performance management (PM) data within the stipulated timeline. As a result, the EMS may receive incomplete data, which affects the computation of KPIs and the overall reporting accuracy. Furthermore, the existing systems may lack robust mechanisms to automatically identify and address missing data from specific nodes. This can lead to gaps in the performance statistics, affecting the reliability and integrity of the KPIs computed from such partial data. Consequently, the ability to monitor and ensure the performance and business continuity of all network nodes is compromised. [0005] Thus, there exists an imperative need in the art to provide a method and a system for reprocessing of partial data received at different instances and aggregating the results reflecting for data integrity, which the present disclosure aims to address. OBJECTS OF THE INVENTION [0006] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below. [0007] It is an object of the present disclosure to provide a method and system for reprocessing of data for data integrity. [0008] It is another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can automatically identify missing base stations in a periodic interval and compute KPIs forthose nodes in both time and space domains. [0009] It is yet another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can ensure the availability of performance statistics for 99% of the radiating nodes in a telecommunications network. [0010] It is yet another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can overcome issues related to connectivity between Network-to-Business Interface (NBI) interfaces and Element Management Systems (EMS), ensuring complete and accurate data transmission. [0011] It is yet another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can address system failures or processing errors at the EMS end, ensuring the integrity of the data and the accuracy of the computed KPIs. [0012] It is yet another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can handle network-related issues leading to loss of connectivity between network nodes and the EMS, ensuring continuous monitoring and performance assessment of all network nodes. [0013] It is yet another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can implement a sliding window mechanism for receiving and processing performance data, ensuring timely and accurate computation of KPIs. [0014] It is yet another object of the present disclosure to provide a method and system for reprocessing of data for data integrity that can store and manage performance data and KPIs in a distributed file system, enhancing data accessibility an