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Resource Prediction Algorithm for IoT Devices

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Document pages: 6 pages

Abstract: The prediction of resources in IOT platform plays important role in the network environment for the deployment application such as workload management, capacity planning, and dynamic allocation. In this paper we develop a new prediction model for the predicting multiple resources as per requirement needs. The new model is ARMA (Auto Regressive Moving Average) is to predict with highest accuracy of resource needs of different application in terms of, Bandwidth, RAM, Storage, CPU utilization. The new model is also predicting the throughput and response time, which intern enable the clients to have good scaling decision. The new model gives us a optimal solution as compared to other models. IoT is able to greatly improve the resource utilization of smart devices and promote the harmony between man-made and natural environments. Utilized as resources which is to run a composite service that supports user tasks. This heterogeneous device interaction causes difficulties to interact with the devices while gathering real time information management and monitoring from the environment.

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