Compute Everywhere: How Storage and Networking Expand the Compute Continuum
Summary
This article discusses the challenges of latency in modern analytics deployments, particularly for AI, ML, and in-memory solutions. It highlights how the volume and distribution of data hinder single-node efficiency, and introduces a panel discussion focused on distributed analytics approaches within network and storage nodes.
IFF Assessment
The article discusses latency issues in analytics, which can be exploited by attackers to gain an advantage or disrupt operations, representing a challenge for defenders.
Defender Context
Defenders need to be aware of how performance bottlenecks in compute, storage, and networking can be exploited. Understanding these distributed analytics challenges is crucial for identifying potential attack vectors that leverage latency or data access.