Abstract
We know that cloud computing is an online-based servicing. So there are more than a million number of web servers, who are connected to online cloud computing to offer various types of online web services to cloud customers. Limited numbers of web servers connected to the cloud networks have to execute more than a million number of tasks at the same time. So, it is not simple to execute all tasks at a particular moment. Some machines execute all tasks, so there is a need to balance all loads at a time. Load balance minimizes the completion time as well as executes all tasks in a particular way. It is not possible to have an equal number of servers to execute equal tasks. Tasks to be completed in cloud environment system or environment will be greater than the connected components. Hence, a less number of servers have to execute a greater numbers of jobs. We propose a new algorithm in which some machines complete the jobs, where a number of jobs are greater than the number of machines and balance every machine to maximize the excellence of services in the cloud system.
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Mondal, R.K., Ray, P., Nandi, E., Biswas, B., Sanyal, M.K., Sarddar, D. (2018). Load Balancing of Unbalanced Matrix with Summation Method. In: Satapathy, S., Tavares, J., Bhateja, V., Mohanty, J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-10-7563-6_52
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DOI: https://doi.org/10.1007/978-981-10-7563-6_52
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