Practical Implementation of M4 for Web Visulization Service Practical Implementation of M4 for Web Visualization Service

Vast volumes of time series are becoming more commonin part to recent research advancements in big data analytics andsensor/monitoring networks. However, tranmission of time seriesfor visualization services can cause serious bandwidth wastage andextensive network delays if there is no efficient data management. Existing work such as M4 aim to solve this problem by providinghigh data reduction rates through data aggregation and guaranteeingthe reliability of visualization results at the same time. However,current work on M4 does not consider verification in a morepractical environment; for example experimentation on web-basedservers that are openly accessible by users. In this paper, we proposeinter-pixel gradient-based M4 (IGM4) for enhancing the existingM4 scheme, and conduct a study to reduce the amount of dataand delay without distorting the results of visualized graph. Webuild user-friendly web-based system to dealing with the data processingtechnique, and perform test on the empirical environment. Finally, we present the results of performance evaluation throughcomparison among the original data, M4, and IGM4 reflecting thevarious kinds of time series and resolutions.