A novel approach for executing large datasets by a MCC model

Abstract

Every day lot of data is added to memory. The data that is stored in memory should be retrieved, modified, updated and executed. The execution of data depends on the company or organization. It is a challenging activity for executing large datasets. We want aggregation of the total sales from one year or more than. Collect datasets for calculating total sales. We have to accumulate daily sales from the year where we want to have it. For calculating past data from tables, we have to go for data mining techniques. Data mining is a technique used to discover knowledge from available data. Execution involves two roles, Data Mining Expert and Business Analyst. Execution may go on for hours and days, if we use a single processor. There is lot of difference in using single core and multi-cores. Still single core processor or machines are in use. Solution for executing large datasets is Multi-core Chamber (MCC). This chamber contains multiple processors where software will assist cores to jobs or processors or batches. The cores are shared based on availability. By using multi-cores we can gain lot of speed. Data Mining Expert and Business Analyst need not wait for hours or days.