An Advanced Multi-Model Cloud Services using Load Balancing Algorithms

Cloud computing is the domain that can provide online services to people without any hardware requirement. Cloud computing has become an emerging technology for companies migrating into cloud computing. Cloud computing offers several advantages for the users, such as data storage, security for data, load balancing, and cloud hosting. Every cloud user needs on-demand services that can provide online services based on applications-several issues identified in the cloud domain, such as security, load balancing, and cloud deployment. Security is a significant task in cloud computing, and it focuses on using cloud resources such as software, data storage, and managing power utilizing the internet. In cloud computing, organizations use third-party service providers to host their applications and data in data centers distributed across the globe. Load balancing is a crucial aspect of cloud computing that ensures efficient utilization of resources and maximum availability of applications and services. In cloud computing, load balancing refers to distributing network traffic across multiple servers, virtual machines (VMs), or other resources to optimize usage and avoid overloading any single help. This research study introduced a multi-model approach, which can provide the double pack security model for the cloud data stored by the users. An advanced load balancing system is introduced to manage multiple users simultaneously to overcome the cloud server crashing issue and provides better cloud deployment for the cloud applications. All these algorithms provide better cloud services to the clients. The evaluation results show the performance of the proposed models in terms of service availability.