Working Paper Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 1 October 2019 / Approved: 4 October 2019 / Online: 4 October 2019 (12:02:52 CEST)

How to cite: Kuppili Venkata, S.; Musial, K. Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment. Preprints 2019, 2019100054 Kuppili Venkata, S.; Musial, K. Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment. Preprints 2019, 2019100054

Abstract

The world of query-response systems heavily depends on the cloud storage solutions, distributed data transfers and locality of users etc. When data stores and users are distributed geographically, it is essential to organize distributed data cache points at ideal locations to minimize data transfers. This leads to the question, what data to cache in which location. 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. This paper details the first step of the process: the sub-query fragmentation technique to fragment data into portable objects. Evaluation suggests that sub-query fragments enable distributed learning methods to understand query patterns and association between sub-queries. The sub-query objects can be modelled easily as input dataset to implement machine learning models to assist cache maintenance.

Supplementary and Associated Material

https://github.com/KuppiliVenkataS/SQF/tree/master/Images: Github link to pdf versions of all images presented in the paper

Subject Areas

Query modelling; distributed caches

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