Mobile Device Synchronisation with Central Database based on Data Relevance
Jan Ko\v{z}usznik

TL;DR
This paper addresses the challenge of selectively synchronizing relevant data between a central database and mobile devices in client-server architectures, emphasizing relevance-based data filtering rather than complete synchronization.
Contribution
It introduces a general framework for defining and providing only relevant data to clients, filling a gap in existing synchronization methods.
Findings
Proposes a relevance-based data synchronization approach
Defines a general method for relevance filtering
Addresses limitations of complete data synchronization
Abstract
Distributed applications are broadly used due the existence of mobile devices as are mobile phones, tablets and chrome books. They are often based on an architecture client-server. A server part contains a central storage where all application data are stored. A specific user accesses data using a client part of an application. The client part of the application can store data in its local storage to enable an offline mode. In the past, we were developing such a client-server software system and we realized that it doesn't exists a general way how to define, search and provide into a client part only those data that are important or relevant to a particular user. The aim of this article is a definition of the problem and a creation of its general solution, not how to achieve the most effective and complete data synchronization. Complete synchronization of data that has been already…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsContext-Aware Activity Recognition Systems · Distributed systems and fault tolerance · IoT and Edge/Fog Computing
