Distributed Computing for Efficient Data Processing and Storage

Abstract

Distributed computing is now widely recognized as a key infrastructure component for effective data management. The exponential rise of big data produced by businesses and individuals has increased the need for scalable and affordable methods of managing and analyzing this data. This paper discusses the problems and potential solutions associated with big data processing and storage, as well as the history, definition, and architectures of distributed computing. We also give some instances of data collection methods frequently used in the field of distributed computing and talk about the various tools and technologies utilized in this area. The topic of distributed computing is rapidly developing, thus it's crucial to think about how these tools will affect society and ethics. Issues of privacy, security, and bias must be carefully considered for the appropriate use of distributed computing. Researchers and practitioners in this field have a duty to ensure the proper and ethical use of these technologies given the enormous potential of distributed computing to revolutionize the way we process and store data.