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As services for Big Data Analysis (BDA) become prevalent, analysis services with intelligence and autonomy using automatic service composition (ASC) show bright prospects in the BDA market. Selection is one of the most important phases of successful ASC process. Moreover, it became competitive with the rise of demand for the services and criticalness of the BDA process. It is a challenge to accomplish a successful uninterruptable composition while serving diverse custom selection requirements. In the case of failure, it results in complete loss of time and resources. Traditional approaches are not applicable to handle failures during long running transactions. Instead, compensation suggests to being an error recovery. Therefore, analytics transactions scheduled as a composition of a set of compensable transactions. However, compensable services are a higher price and consume more time. Moreover …