Operation-based Collaborative Data Sharing for Distributed Systems

TL;DR

This paper introduces an operation-based approach to collaborative data sharing in distributed systems, addressing the limitations of state-based methods by supporting conflict-free synchronization suitable for mobile and intermittently connected devices.

Contribution

It proposes a novel operation-based scheme for conflict-free data sharing, improving flexibility and descriptiveness over traditional state-based methods in distributed environments.

Findings

Enables conflict-free synchronization for mobile and intermittently connected devices.

Addresses limitations of state-based semantics in collaborative data sharing.

Supports flexible network connections with conflict-free strategies.

Abstract

Collaborative Data Sharing raises a fundamental issue in distributed systems. Several strategies have been proposed for making shared data consistent between peers in such a way that the shared part of their local data become equal. Most of the proposals rely on state-based semantics. But this suffers from a lack of descriptiveness in conflict-free features of synchronization required for flexible network connections. Recent applications tend to use non-permanent connection with mobile devices or allow temporary breakaways from the system, for example. To settle ourselves in conflict-free data sharing, we propose a novel scheme "Operation-based Collaborative Data Sharing" that enables conflict-free strategies for synchronization based on operational semantics.