Domain-Specific Allocation & Load Balancing in Cloud Computing Using Virtual Machines
N K. Manikandan, S. Devayani, M. Divya · 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) · 2020
Domain specific allocation plays a major role in cloud computing. The recent trends in cloud computing attracts user to generate random requests to any processor which are not domain specific. Therefore load balancing is a significant aspect in distributing the workload evenly among all the nodes. Since the workload is not distributed uniformly, some processors are overloaded while others are under-loaded. This might result with the resources being overheated, sometimes might lead to carbon emission. Therefore in domain-specific storage text based and image based files are stored separately in two virtual machines for faster response. This paper presents the SJF scheduling algorithm for load balancing and AES algorithm for data encryption. The data is migrated into cloud called CloudMe for data recovery and data storage. This reduces the excessive work of the servers and provides efficient load balancing. The project handles both basic and premium users where premium user requests are prioritized and handled. The `n' number of requests that is generated using bots by brute force attack can also be prevented. Thus the project aims to maintain a domain-specific storage to avoid overloading of virtual machines and maintains system stability and reduce carbon emission.