Abstract
Large-scale key-value stores are widely used in many Web-based systems to store huge amount of data as (key, value) pairs. In order to reduce the latency of accessing such (key, value) pairs, an in-memory cache system is usually deployed between the front-end Web system and the back-end database system. In practice, a cache system may consist of a number of server nodes, and fault-tolerance is a critical feature to maintain the latency Service-Level Agreements (SLAs). In this paper, we present the design, implementation, and evaluation of R-Memcached, a reliable in-memory key-value cache system that is built on top of the popular Memcached. R-Memcached exploits coding techniques to achieve reliability, and can tolerate up to two node failures. Our experimental results show that R-Memcached can maintain very good latency and throughput performance even during the period of node failures.
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Liu, C., Ouyang, K., Chu, X., Liu, H., Leung, YW. (2015). R-Memcached: A Reliable In-Memory Cache System for Big Key-Value Stores. In: Wang, Y., Xiong, H., Argamon, S., Li, X., Li, J. (eds) Big Data Computing and Communications. BigCom 2015. Lecture Notes in Computer Science(), vol 9196. Springer, Cham. https://doi.org/10.1007/978-3-319-22047-5_20
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DOI: https://doi.org/10.1007/978-3-319-22047-5_20
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