Adaptive Merged Block Cache: Dynamic Resource Allocation for Cloud Networks

Abstract

Cloud networks require effective resource allocation and performance optimization to support the increasing demands of data-intensive applications. This study presents the Adaptive Merged Block Cache (AMBC) in Scrabble, a novel approach that leverages dynamic resource allocation to enhance system performance. By integrating data blocks and dynamically tuning cache configurations based on real-time network conditions, AMBC accelerates data retrieval, minimizes latency, and maximizes resource efficiency in cloud environments. Simulation results highlight significant improvements in key performance indicators, including cache hit rates, retrieval times, network latency, and system throughput. These findings demonstrate AMBC's potential as a scalable and reliable solution for optimizing cloud network performance.