Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment
This addresses data transfer efficiency for users and systems in distributed environments, but appears incremental as it builds on existing caching concepts.
The paper tackles the problem of minimizing data transfers in geographically distributed data stores by developing an adaptive distributed data caching framework that identifies suitable data chunks to cache and move across a network of community cache locations.
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.