The rapid advancement of technology has had a significant impact on human life. Many conventional systems are being phased out or being replaced by their electronic counterparts. For example, the conventional postal system is being phased out in favour of mobile phones and email. The electronic system offers more features than its traditional counterparts. People can communicate with one another through social media, sharing their views and memories in the form of messages, photographs, or videos. On the other hand, many research efforts are pushed forward in order to improve technologies and knowledge, and data from many sources is gathered in vast quantities for further analysis. In short, today's world is surrounded by a massive amount of data in many forms. This necessitated proper handling of these billions of gigabytes of electronic data, sometimes referred to as BIG DATA. Effective management must be founded on mathematical concepts that have been proved to lower the risk of casualties. The goal of this research is to provide a mathematical evaluation for the evolution of file data distribution and to explain some basic solutions to primitive difficulties using probability theory. If we try to solve an issue like Big Data, probability theory can assist us formalise the basic tree-like architecture of a distributed file system.
Author(S) Details
Atul Saurabh
Department of Java Software Engineer, Rishabh Software, Vadodara, Gujarat, India.
Swapnil M. Parikh
Department of CSE, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India.
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