Analysis Of Performance, Scalability, Availability And Security In Different Cloud Environments For Cloud Computing

Success and acclaim of cloud computing have been boosted by recent developments in the field and in technology more generally. Cloud computing allows for flexible, on-demand service delivery. Instead of using a server on a local area network (LAN) or a single computer, cloud computing takes advantage of distributed, centralized, and highly sophisticated remote network sites and servers connected to the internet for the purposes of storing, managing, and processing data. Statistics in cloud computing are now being carefully preserved with an emphasis on studying data in the cloud and its many connected security problems. Concerns about data loss in the cloud and the measures taken by different service providers to address those concerns are also addressed. Cloud storage makes data easily accessible for a wide variety of uses, but as the cloud grows in popularity and data distribution options expand to accommodate a diverse user base, the privacy of that data becomes a more pressing concern. It necessitates the covert transfer of data and the careful distribution of decryption keys between authorized parties. That’s why there are so many different approaches, and some of them centre on combining attribute-based cryptography (ABC) and AES. While it’s true that any given technology may have certain benefits, it’s also important to consider any drawbacks it may present, which may include things like increased demands on the system’s processing power and memory, as well as any potential bottlenecks in the network. Load balancing refers to the process of distributing the workload over multiple nodes in a distributed system in order to improve various aspects of the technology, such as the most efficient use of resources and the speed with which jobs may be completed. Load balancing is used to ensure that all of the mainframes in the building or all of the nodes in the network are doing nearly the same amount of work at any given moment, hence preventing the aforementioned issues. Achieving this goal is crucial to developing a practical and aesthetically pleasing loading algorithm. Now that we know the advantages and disadvantages of various load balancing algorithms. The idea of FCS is used to construct a newly developed load balancing algorithm.