The Smart Performance Analysis of Reliability based Optimization Service for Secured Cloud Servers using Priority based Scheduling

Abstract

Reliability-based optimization service is a cloud server security solution designed to ensure optimal system reliability and security while ensuring that the costs associated with protective measures are kept within acceptable limits. The service provides a comprehensive approach to service reliability, utilizing real-time analytics to measure the security and performance of cloud servers. These metrics are then used to prioritize the allocation of resources to ensure that the most cost-effective security and reliability safeguards are achieved. It includes the implementation of network segmentation, code patching, malware protection, and authentication services. Priority-based scheduling allows the cloud service provider, or CSP, to prioritize certain operations while de-prioritizing operations that require fewer resources or security. By using priority-based scheduling, CSPs can improve their cloud servers' performance while ensuring that any operations requiring special attention, such as security operations, are given priority. The goal of priority scheduling is to ensure that critical operations receive the necessary resources and attention without compromising the performance of the cloud servers. Furthermore, priority scheduling helps CSPs avoid bottlenecks during peak hours by utilizing sparsely used resources for additional operations. In addition, priority scheduling facilitates the integration of the various components of cloud computing and ensures the availability of resources for operations in the future.