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Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment

2019/10/11 by Santhilata Kuppili Venkata, Venkata, Santhilata Kuppili, Katarzyna Musiał +1
Computer Science · #Advanced Data Storage Technologies #Caching and Content Delivery #Databases (cs.DB) #Distributed #Distributed systems and fault tolerance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.1910.04991

openalex publication_date 2019/10/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

When data stores and users are distributed geographically, it is essential to organize distributed data cache points at ideal locations to minimize data transfers. To answer this, we are developing an adaptive distributed data caching framework that can identify suitable data chunks to cache and move across a network of community cache locations.

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