Autor:	Weidner, Matthew, Pradeep, Ria, Geordie, Benito, Miller, Heather
Rok vydání:	2023
Předmět:	Computer Science - Distributed Parallel and Cluster Computing
Druh dokumentu:	Working Paper
Popis:	Conflict-free Replicated Data Types (CRDTs) allow collaborative access to an app's data. We describe a novel CRDT operation, for-each on the list of CRDTs, and demonstrate its use in collaborative apps. Our for-each operation applies a given mutation to each element of a list, including elements inserted concurrently. This often preserves user intention in a way that would otherwise require custom CRDT algorithms. We give example applications of our for-each operation to collaborative rich-text, recipe, and slideshow editors. Comment: 7 pages, 4 figures, to appear at PaPoC 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.03141 Zobrazit plný text záznamu View this record from Arxiv