Caching efficiency is critical to performance when an in-memory database system acts as a cache for a disk-oriented database system. Memcached, one of the widely used in-memory database that stores key-values, roles as a cache for high-speed data storage layer. It replaces items using LRU replacement policy when memory capacity is used up. Other than LRU policy for maximizing temporal locality, in this paper, we confirm the impact of replacement policies for workloads with random pattern operations. We analyze hit counts of workload by applying BIP and SRRIP replacement policies to Memcached. Experimental results show that hit counts of Memcached to which SRRIP is applied is improved by up to 12%.
|Title of host publication||Proceedings - International SoC Design Conference, ISOCC 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|Publication status||Published - 2020 Oct 21|
|Event||17th International System-on-Chip Design Conference, ISOCC 2020 - Yeosu, Korea, Republic of|
Duration: 2020 Oct 21 → 2020 Oct 24
|Name||Proceedings - International SoC Design Conference, ISOCC 2020|
|Conference||17th International System-on-Chip Design Conference, ISOCC 2020|
|Country/Territory||Korea, Republic of|
|Period||20/10/21 → 20/10/24|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported by the MOTIE(Ministry of Trade, Industry & Energy) (10080722) and KSRC(Korea Semiconductor Research Consortium) support program for the development of the future semiconductor device. And the chip fabrication and EDA Tool were supported by the IC Design Education Center.
© 2020 IEEE.
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Artificial Intelligence
- Hardware and Architecture