Performance Evaluation of Image Conversion Module Based on MapReduce for Transcoding and Transmoding in SMCCSE

摘要

We presented the author's SMCCSE (Social Media Cloud Computing Service Environment) that supports the development and construction of Social Networking Service (SNS) based on large amounts of social media including audio, video and image in earlier publication. The main contributions of this paper are to present how to design and implement Map Reduce-based image conversion module for social media transcoding and transmoding that are the core functions in our SMCCSE as well as to verify performance evaluation results for image conversion module. In this paper, we show a partially functional image conversion module based on Hadoop in SMCCSE except for video and audio. Moreover, we discuss experimental results performed on a 28 node SMCCSE cluster under varying experimental conditions in order to verify the performance for image conversion function.