Compute-to-Data

Unlike the traditional Data-to-Compute (D2C), where data is sent to a central place for analysis, Compute-to-Data (C2D) brings the computation directly to the data’s location. This reduces the risk of exposing sensitive data during transfer and helps protect privacy. Central to C2D is edge node management, which lets groups manage computing resources closer to where the data is stored, making analysis faster and complying with data rules about where data can be stored.

Why Compute-to-Data?

Compute-to-Data enhances data privacy and ensures compliance with standards like GDPR. It enables cross-border data sharing, adhering to local data laws in respective jurisdictions. It grants groups with full control over their data, enhancing security and trust. C2D also supports efficient data collaboration and insight generation, while providing a framework for data monetization through secure data analysis and sharing.

How it Works

Secure computation at source is fundamental to Acentrik’s C2D approach, ensuring that data stays at its source while being analyzed. Instead of moving data around, Acentrik's platform orchestrates the connection between the data and algorithms.

Acentrik's system operates by sending computational tasks to edge nodes located close to the data sources. These edge nodes connect directly to the data sources and perform computation through edge computing clusters. This allows organizations to conduct complex analyses efficiently while keeping data secure and under the organization's control.

The algorithms used in C2D are scripts for model training, data analysis, and other advanced computational tasks. The data remains within the organization's own data infrastructure and is not stored in the edge nodes, ensuring that data privacy and security are maintained throughout the analysis process.

For more information and a guide to using the Compute-to-Data feature on the marketplace, please refer to Compute-to-Data handbook.

Writing Algorithms for Compute-to-Data

To fully utilize the advantages and benefits of Compute-to-Data features, it is essential to follow some best practices when writing an algorithm for this purpose.

Reach out to your Acentrik contact to get the full handbook on Compute-to-Data, including the know-hows of creating algorithms.