English

Operation-based Collaborative Data Sharing for Distributed Systems

Databases 2021-12-02 v1 Distributed, Parallel, and Cluster Computing Programming Languages

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.

Keywords

Cite

@article{arxiv.2112.00288,
  title  = {Operation-based Collaborative Data Sharing for Distributed Systems},
  author = {Masato Takeichi},
  journal= {arXiv preprint arXiv:2112.00288},
  year   = {2021}
}

Comments

11 pages, 4 figures