Towards Resource-Efficient Cloud Computing: A Pre-Fetching-Based Optimization Model
TL;DR
The main goal is to develop a robust system based on advanced procedures and algorithms that ensure a comprehensive solution for vendors, aligning with the fundamental expectations of cloud computing providers.
Abstract
In cloud computing environments, the efficient management of massive networks and computing nodes handling enormous data flows is crucial. The core objectives of this project are to address key aspects such as availability, and performance. The main goal is to develop a robust system based on advanced procedures and algorithms that ensure a comprehensive solution for vendors, aligning with the fundamental expectations of cloud computing providers. This proposal focuses on enhancing cloud data storage and retrieval systems through a thorough exploration of performance optimization strategies. For specifically investigate the application of C-Aware, a method designed to improve data retrieval efficiency and performance. Through empirical analysis, also compare C-Aware with traditional Least Recently Used (LRU) methods, evaluating their impact on access times under varying network loads and disk speeds. Also includes the C-Aware approach significantly reduces access times and enhances overall system performance, particularly as the volume of data and network load increase. This project provides a valuable contribution to the field of cloud computing by offering a solution that meets the high standards of performance expected by modern vendors.