Improving Big Data Infrastructure to Effectively Utilize Resources for Data Processing and Services

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Big data analytics is hailed as an emerging driving force of the next innovation wave. It has formed the basis for many novel applications across a wide range of fields from business workflows to engineering activities and scientific computing. One such typical application is cloud-based network services for business and individual mobile or vehicular users, where data is collected through daily log files, from stationary or mobile entities such as smartphones equipped with a variety of built-in sensors (e.g., GPS, accelerometers and cameras) and then processed by a big-data infrastructure in order to provision data as a service. For example, vehicle trajectories can be generated in real time from video data to facilitate the analysis of traffic flow parameters for transportation management. Clearly, in such applications, the response time of the underlying infrastructure for data processing has great impact on Quality of Service (QoS).