Optimizing Java Performance: Unveiling the Power of Caching Strategies with a Spotlight on Redis
Abstract: This paper explores the pivotal role of caching in performance tuning for Java applications and delves into the specific advantages and mechanisms of Redis as a distributed caching solution. Caching strategies play a crucial role in enhancing application efficiency, and this paper provides a comprehensive overview of in-memory and distributed caching techniques. The first section of the paper discusses various caching strategies in Java, covering in-memory, along with distributed caching solutions. It also focuses on understanding cache eviction policies, time-to-live, and time-to-idle parameters, offering insights into best practices for Java developers in optimizing application performance. The second section specifically highlights Redis as a distributed caching mechanism. Redis, an open-source in-memory data structure store, is explored for its versatile capabilities and suitability for large-scale distributed systems. The paper elucidates how Redis operates as a high-performance, in-memory key-value database, detailing its data replication architecture, configuration options, and scalability features.
Keywords: Java caching, Redis, distributed caching, cache eviction policies, application performance optimization
How to Cite?: Vandana Sharma, "Optimizing Java Performance: Unveiling the Power of Caching Strategies with a Spotlight on Redis", Volume 9 Issue 3, March 2020, International Journal of Science and Research (IJSR), Pages: 1644-1648, https://www.ijsr.net/getabstract.php?paperid=SR24115223126, DOI: https://dx.doi.org/10.21275/SR24115223126