Resource Allocation for Heterogeneous Cloud Computing

Nguyen Ha Huy Cuong, Vijender Kumar Solanki, Doan Van Thang, Nguyen Thanh Thuy


Cloud Computing and the Internet of Things (IoT) have been converging, the creation of the distributed computing system large scale, called IoT Cloud Systems. One of the main advantages of Cloud Computing is reflected in its support for self-service, on-demand resource consumption, where users can dynamically allocate the appropriate amount of infrastructure resources (e.g., computing or storage) required by an application. In this paper, we develop a method to predict the lease completion time distribution that is applicable to making sophisticated trade-off decisions in resource allocation and rescheduling. Research methods have improved the efficiency and effectiveness of heterogeneous cloud computing resources.


IoT Cloud System; Deadlock Avoidance; Resource Allocation; Distributed Computing; Virtualization.

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