Such consolidation of data processing onto fewer, larger machines to cut the overall costs of computing, analysts agree, is an important trend in large corporations, especially as the economy struggles.
Pipeline of data processing.
Design 7 (Table 3) demonstrates the situation where the total cost of data processing inclinometer and questionnaires is less because it takes less time to process each data unit.
In this paper, we propose a performance estimation module which can predict the execution time and cost of data processing jobs, according to different characteristics.
The well-designed big data systems must able to deal with all 6Vs effectively by creating a balance between data processing objectives and the cost of data processing (i.e., computational, financial, programming efforts) in big data systems.
This is a result of the variable cost of data processing being lower for the inclinometer method (€255) than for observation (€500 in the current study scenario).
As a common thread running through most of the definitions of big data, the related information assets are of high-volume, high-variety, and high-velocity and thus require cost-effective, innovative forms of data processing, analysis, and management for enhanced decision-making and insight.
The cost of monitors, complexity of data processing and analysis, problems with compliance and burden on participants also limit their use in large population-based studies [ 14].
Observation was consistently the most costly in terms of data processing, with costs ranging from 1.1- to 1.6-fold higher costs than inclinometry and 2.1- to 3.4-fold higher than questionnaires.
Besides, the sensors must be compatible with microelectronic devices of data processing and should have low manufacturing cost.
