Adaptive Merged Block Cache in Scrabble: A Strategy for Dynamic Resource Allocation and Performance Optimization in Cloud Networks

Abstract

Cloud networks demand efficient resource allocation and performance optimization to meet the ever-growing requirements of data-intensive applications. This paper introduces an Adaptive Merged Block Cache (AMBC) in Scrabble, a novel strategy designed to enhance performance through dynamic resource allocation. By merging data blocks and adaptively adjusting cache configurations based on real-time network conditions, AMBC improves data retrieval speeds, reduces latency, and optimizes resource utilization in cloud environments. Extensive simulations demonstrate that the AMBC strategy significantly improves key performance metrics such as cache hit rate, data retrieval time, network latency, and system throughput. These results underscore the potential of Scrabble's AMBC strategy to provide a robust and scalable solution for performance enhancement in cloud environments.