چکیده مقاله
The demand for scalable and cost effective computing resources has driven the widespread adoption of Infrastructure as a Service IaaS in cloud computing Spot Instances, a key offering in IaaS, provide customers with access to unused cloud capacity at significantly reduced costs, though with the risk of sudden interruptions These interruptions make it hard for the customer to estimate the time it takes for her job to finish In this study, we conduct a discrete event system simulation to show the impact of helping customers estimate their time in the system more accurately The results suggest that using machine learning techniques to predict the time customers must spend in the system can be beneficial for both customers and the provider
کلیدواژهها
نویسندگان
Mohammad Hossein Shahmoradi
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
Nafiseh Sedghi
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
شیوه ارجاع
Shahmoradi, Mohammad Hossein and Sedghi, Nafiseh,1403,Discrete-Event Simulation of the Impact of Spot Instance Time Prediction in IaaS Cloud Computing,The 10th International Conference on Industrial and Systems Engineering,Mashhad
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