A Time-Entangled Self-Reconstructing Framework for Fault Tolerance in Distributed Real-Time Systems

Fault tolerance in distributed real-time systems has, up till now, relied on static redundancy, replication, or predictive mechanisms, which introduce latency, resource overhead, and inadaptability under dynamic failure conditions. This paper presents Chrono Weave (CW) as a revolutionary new idea that describes how a system is working as a flow of a time-ordered field of states, so that even if the system is broken, it can recover without explicit redundancy or replication. CW does not replicate computation but rather encodes system evolution into temporally entangled microstates; therefore, recovery is made possible through deterministic temporal interpolation. The Temporal Consistency Field (TCF), a new concept, is presented to measure system integrity over time, enabling fault localization and instant reconstruction. The new system does not require standby replicas, and recovery is achieved just by way of using temporal coherence that is inherent. From a theoretical viewpoint, it is shown that CW can reduce recovery latency asymptotically towards zero as long as the drift is bounded. From the perspective of distributed control, simulation experiments have still managed to show great recovery speed and system reliability improvements over the traditional ones. This paper opens fault-tolerant computing to a new mode of operation where instead of being based on redundancies, time-structured, self-healing systems are used.

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