An Offline-First Architecture for Distributed Systems Using CRDT Principles
Maintaining sequential consistency without compromising availability is the holy grail of distributed systems. Achieving this is easy in a setting with sub-millisecond fiber connections and zero packet drops. However, when your setting is an execution edge environment with days-long network outages, common architectural patterns like two-phase commit ($2\text{PC}$) or continuous Raft consensus election loop fall apart.
In order to preserve data integrity over hundreds of distant client nodes without depending on a permanent cloud backbone, this paper presents the mathematical and practical demonstration of a lightweight, highly useful architecture.
I. The Core Architectural Proof
We must closely follow the CAP Theorem in order to create a data-gathering system that can withstand extended network blackouts. We must purposefully relax temporal consistency ($C$) in favor of eventual consistency since we cannot control network partitioning ($P$) and we refuse to give up availability ($A$)for field operations.
Our system functions as a state machine...
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