SLA-Based Resource Provisioning in Library Systems Utilizing Genetic Algorithm

Abstract

In the context of library science, cloud computing represents a cutting-edge approach, enabling libraries to dynamically share computational resources as needed. This technology leverages underutilized computational power within a networked environment to provide seamless services to users. To ensure a higher Quality of Service (QoS), libraries and Cloud Service Providers (CSPs) establish Service Level Agreements (SLAs). However, increasing user demand often prevents CSPs from maintaining the agreed QoS, resulting in SLA breaches. This research article presents an algorithm for efficient dynamic resource provisioning, addressing various SLA-related penalties. By incorporating a Genetic Algorithm (GA) into the proposed approach, the algorithm effectively schedules user requests and optimizes the use of Cloud-based servers. It also includes an SLA negotiation method to reduce penalty costs and minimize SLA breaches, ensuring reliable and efficient library services.