AVSystem Blog on Information and Communication Technology

Bulk Data: Shaping the Future of Network Management

Written by Łukasz Pożarlik | 16/09/2024

It’s widely known that the telecommunication industry is extremely data-driven. Data transmission is the key offering to customers, but “behind the scenes” there’s even more data, essential for the operations efficiency and network performance of Communication Service Providers (CSPs). In our first article, "Bulk Data Overview", we introduced the concept of Bulk Data and outlined its main use cases. In the second article, "Leveraging Bulk Data with AVSystem’s Auto Configuration Server", we delved into how AVSystem's Auto Configuration Server (ACS), whether on-premises or in the cloud, improves Bulk Data operations with adaptable workflows and robust APIs. Now, we're excited to share our vision for the future of Bulk Data development.

 

Next Step: Bulk Data Specification Extension

As the telecommunications landscape grows in complexity, service providers need more granular control over their data collection and reporting processes. To address these evolving needs, AVSystem proposes an extension to the Bulk Data specification, which introduces the "CollectingInterval" parameter. This new addition enhances flexibility and control over data sampling from CPEs.

Introducing the "CollectingInterval" Parameter

Currently, Bulk Data specifications include the "ReportingInterval", which dictates how often CPEs send data to the Auto Configuration Server (ACS). However, this leaves a gap when it comes to defining how frequently data should be sampled from the CPEs before reporting. The "CollectingInterval" parameter is designed to fill that gap.

1. Granular Control Over Data Collection


The "CollectingInterval" parameter allows service providers to specify how often the CPE should sample data from the configured parameters. This level of control is particularly beneficial for real-time applications, where frequent data sampling is essential, and for less critical scenarios, where less frequent sampling can reduce network load.

With "CollectingInterval", service providers can tailor the data collection process to match specific operational needs, making it a versatile tool for efficient network management.


2. Support for Diverse Use Cases

Different applications require different data collection frequencies. The "CollectingInterval" parameter is flexible enough to support a variety of use cases:
  • High-frequency monitoring like live video streaming demands frequent data sampling to ensure optimal performance.
  • Standard monitoring such as periodic bandwidth checks may require less frequent sampling, reducing strain on network resources.
This flexibility allows CSPs to maintain efficient data collection strategies across a diverse set of network services.

 

 

3. Seamless Integration with Existing Bulk Data Framework

The "CollectingInterval" parameter complements the existing "ReportingInterval", working in tandem to create a comprehensive data collection and reporting cycle. "CollectingInterval" manages how often data is sampled at the CPE, while "ReportingInterval" defines how often this data is sent to the ACS.

This approach is ideal for CSPs managing large-scale networks, enabling them to balance real-time data sampling with efficient data reporting to minimize network load without losing valuable insights.

The Future of Bulk Data: What’s Next?

The "CollectingInterval" is just one step in AVSystem’s vision for the future of Bulk Data. As data becomes an increasingly critical asset in telecom network management, further developments are essential to address the growing complexity of modern networks.

Here are some potential areas for future innovation:
  • High-frequency data streaming enhancements: As 5G and IoT networks expand, CSPs will need more advanced high-frequency data collection capabilities to meet the demands of high-speed, data-intensive applications.
  • AI-driven insights: With large volumes of data flowing through networks, artificial intelligence (AI) and machine learning (ML) will play a pivotal role in analyzing Bulk Data, predicting network issues, and optimizing resource allocation.
  • Advanced security protocols: Security remains a top priority, and future Bulk Data developments will integrate enhanced security protocols to ensure that sensitive information is protected at all stages of the data collection and reporting process.

By continuing to evolve the Bulk Data specification and enhancing the capabilities of AVSystem’s ACS, we aim to help CSPs maximize the value of their network data, improve customer experiences, and maintain a competitive edge in a data-driven world.

The addition of the "CollectingInterval" parameter represents a significant advancement in Bulk Data technology, providing service providers with enhanced control, flexibility, and efficiency in data collection. As AVSystem continues to lead innovation in this field, our vision is to further develop the capabilities of Bulk Data to meet the growing demands of modern telecommunications networks.