To improve user key security and cloud user region-based resource scheduler using rail fence region-based load balancing algorithm

Computer services, such as cloud computing and distributed computing, offer very low costs. These services can be calculated in the form of hardware, operating system or application software. However, the prospect of a cloud service provider (CSP), then they are not easy to find. Cloud-based companies are offering customer computing servers that have proven to be less expensive for energy. In this proposed work, a systematic method of balancing tasks with the consumption of loads and security is addressed. The energy consumption of the cloud data center is minimized through our proposed load balancing algorithm. And also introduced a security model to improve the user’s trust model providing in the cloud. In public key with encryption, properties are based on cryptography. In this proposed, a trusted and scalable load balancing approach named Rail Fence Region-based Load balancing (RFRLB) it is adaptive, dynamic, scalable and efficient. When one server fails, the task transfer to another VM server. It takes rows, queue lengths and heavy workloads, as well as account server confidence values. The load balancing technique deployment model used in various computing environments. In this regard, the main focus is on improving bandwidth usage and improving cloud user security performance, rather than issues such as power efficiency. This proposed RFLP method performs well in comparison with parameters analysis and its protection method.