:Service unavailability remains one of the most critical challenges in cloud computing, particularly in multicloud environments where multiple service providers are involved. Despite the inherent redundancy offered by multicloud architectures, issues such as latency, interoperability, task scheduling inefficiencies, and failure propagation still lead to service disruptions. This paper presents a comprehensive study of advanced algorithms designed to mitigate service unavailability in multicloud systems. It reviews existing approaches such as redundancy models, load balancing, and checkpointing, and introduces an enhanced adaptive algorithm—DTOSUME (Dynamic Task Offloading and Service Utilization in Multicloud Environment). The proposed approach integrates intelligent scheduling, predictive failure detection, and dynamic workload migration. Simulation results demonstrate improved availability, reduced response time, and higher fault tolerance compared to traditional single-cloud and baseline multicloud strategies.
V et al. (Fri,) studied this question.
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