Abstract
Massive data transfers in modern data-intensive systems resulting from low data-locality and data-to-code system design hurt their performance and scalability. Near-data processing (NDP) designs represent a feasible solution, which although not new, has yet to see widespread use. In this paper we demonstrate various NDP alternatives in <u>n</u>KV, which is a key/value store utilizing <u>n</u>ative computational storage and <u>n</u>ear-data processing. We showcase the execution of classical operations ( GET, SCAN ) and complex graph-processing algorithms ( Betweenness Centrality ) in-situ, with 1.4x-2.7x better performance due to NDP. <u>n</u>KV runs on real hardware - the COSMOS+ platform.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
