IEEE

Task-Driven Priority-Aware Computation Offloading Using Deep Reinforcement Learning

Abstract: Computation offloading is an effective method for reducing the pressure put on networks and improving the service experience. However, most existing research on computation offloading is ...

One engineer made a production SaaS product in an hour: here's the governance system that made it possible

Every engineering leader watching the agentic coding wave is eventually going to face the same question: if AI can generate production-quality code faster than any team, what does governance look like ...
Opinion

The Code Sovereignty Paradox: Why AI Productivity Is Creating A Security Debt Crisis

Sovereign factory AI is the starting point for a secure coding assistant. Enterprises need to embrace a data-first security approach, one that protects sensitive information at the point of retrieval ...
IEEE

Performance Enhancement Using a Dynamic Scoring-Based Task Scheduling Algorithm for Heterogeneous Multicore Systems

Abstract: Heterogeneous multicore systems, such as ARM's big.LITTLE architecture requires efficient task scheduling to balance deadline misses, energy consumption, and throughput. Traditional methods ...