Dynamic Multi-Cloud Security and Availability Optimization (DMCSAO) Algorithm for Overcoming Service Unavailability in Multi-Cloud Environments

Abstract

Service unavailability in cloud computing environments poses significant challenges for organizations relying on cloud-based applications and services, leading to disrupted operations, financial losses, and compromised user experience. These challenges are particularly critical in sectors such as healthcare, finance, and e-commerce, where continuous service availability is essential for business operations and customer satisfaction. This research addresses these challenges with a novel Dynamic Multi-Cloud Security and Availability Optimization (DMCSAO) algorithm, designed to enhance service reliability and system resilience across multiple cloud providers. Comprehensive experimental analysis using network graph visualization and simulation techniques to evaluate system behavior under various failure scenarios, including network partitions and datacenter failures. The experimental framework tests different node densities (30, 50, and 100 nodes) and compares multi-cloud versus single-cloud deployments in real-world application scenarios. patterns and recovery strategies, while our network partition simulations show sub- linear response time scaling but exponential recovery time growth in larger deployments. The DMCSAO algorithm maintains high service availability during failure scenarios, compared to single-cloud results demonstrate substantial improvements in multi-cloud implementations, achieving reduction in average response times (23.5ms versus 27.8ms), lower packet loss rates (2.3% versus 3.8%), and fewer failover incidents. The visualization-based analysis reveals crucial insights into failure propagation environments. These findings provide practical guidelines for implementing resilient cloud security services and contribute significantly to the field of multi-cloud architecture optimization. Our research addresses critical challenges in cloud computing reliability and offers valuable insights for organizations adopting multi-cloud strategies, while also identifying important directions for future research in cloud security and availability optimization.