Here’s how MTOR achieves stateless computing:
- Elimination of Persistent State: Unlike traditional operating systems that rely on storing and maintaining client or application state across interactions (sessions, context), MTOR removes this dependency. Each request or event is treated independently.
- Abstraction of Computational Resources: MTOR abstracts away the underlying hardware and software resources, presenting them as intent-based interfaces. This allows for dynamic allocation and utilization of resources without needing to track their specific states.
- Purely Event-Driven Execution: MTOR adopts a purely event-driven execution model. It responds to intents and inputs in real-time, executing tasks only when triggered by specific events, according to a LinkedIn post. This means no polling or unnecessary looping for resource availability.
- Intent-Based N-gram Protocol: MTOR introduces a novel N-gram protocol for distributed communication. This protocol eliminates the need for persistent connections in distributed systems (clients, orchestrators, workers) by embedding all necessary information for processing and delivering results directly within each intent-based N-gram.
In essence, N2NHU Labs’ MTOR achieves stateless computing by discarding the need for preserving session data or any client-specific information across interactions. It processes requests as isolated events and leverages an event-driven, distributed architecture, emphasizing efficient resource utilization and real-time responsiveness.