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Big Data applications are present in many areas such as financial markets, search engines, stream services, health care, social networks, and so on. Data analysis provides value to information for organizations. Classical Cloud Computing represents a robust architecture to perform complex and large-scale computing for these areas. The main challenges are the user's unknowledge about Cloud infrastructure, the requirement needed for improving performance, and the resource management to maintain stable processing. In these difficulties, an inadequate solution can lead to users overestimate or underestimate the number of computational resources, which drives to the budget increases. One way to work around this problem is to make use of Volunteer Computing since it provides distributed computational resources at free monetary cost. However, a volatile machine behavior is a problem to address in Big …