RAM-BASED CACHING MODEL IMPROVING PERFORMANCE OF DISTRIBUTED SYSTEMS

Abstract

This study focuses on caching, which is one of the major aspects for optimizing distributed systems that affects the entire performance and efficiency. To improve system responsiveness and decrease latency, caching techniques are vital. Caching moves frequently requested material closer to the user, decreasing the need to retrieve it from slower, more distant sources. In order to guarantee quick data retrieval and optimal resource use across numerous nodes, this paper investigates critical caching tactics, such as cache partitioning and distribution.  Load balancing and the usage of suitable communication protocols guarantee effective data transmission between the nodes, which are also discussed. This paper has indicated the effectiveness of the data management and caching strategies, which can significantly enhance the performance of the systems, as well as make them scalable and more efficient. This new proposal of a study indicates that the random access memory (RAM) should be utilized as an augmented caching layer in distributed systems. Memory address translation (RAM) is an additional storage between the faster cache and the slower disk-based storage; traditional cache memory is used where the requested data is in real-time and requested often, whereas RAM is used where no limit exists on the amount of storage that may be used. By using RAM as the caching mechanism, we could significantly reduce the load on primary databases and the need to make multiple network requests. This means more resource utilization and faster retrieval of data in large-scale systems where scalability and performance are the key considerations. We want to enhance the responsiveness and scalability of the system to enable it to remain optimally functional even under increased demand.