Performance Analysis of Priority Generation System for Multimedia Video using ANFIS Classifier
DOI:
https://doi.org/10.22399/ijcesen.707Keywords:
Multimedia, video, priority, workflow, schedulingAbstract
The priority-based multimedia video transmission over the cloud system uses different bandwidth functioned multimedia video information which has been sent or transmitted to the cloud system through the priority selection system. This priority selection system uses machine learning algorithm for selecting the highest priority of the multimedia video and passes the multimedia video having the high priority to the cloud system. The proposed Workflow Computations and Scheduling (WCS) system using machine learning algorithm has consisted of three stages as preprocessing, feature computations with Principal Component Analysis (PCA) and Adaptive Neuro Fuzzy Inference System (ANFIS) classifier. The preprocessing stage of the proposed system is used to separate the frames from each multimedia video and the RGB frame has been converted into grey scale frame in this stage. The features are estimated from each grey scale frame and these features are scrutinized using PCA. The final scrutinized features are fed into ANFIS classifier to generate the priority results. The performance of the proposed WCS system has been analyzed in Amazon EC2 cloud environment with respect to Make Span (MS) and Execution Cost (EC).
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