English

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

Databases 2019-10-14 v1 Distributed, Parallel, and Cluster Computing Machine Learning

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.

Keywords

Cite

@article{arxiv.1910.04991,
  title  = {Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment},
  author = {Santhilata Kuppili Venkata and Katarzyna Musial},
  journal= {arXiv preprint arXiv:1910.04991},
  year   = {2019}
}

Comments

29 pages, 18 figures, preprint

R2 v1 2026-06-23T11:40:36.660Z