Novel Cloud Architecture to Decrease Problems Related to Big Data
Автор: Entesar Althagafy, M. Rizwan Jameel Qureshi
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 2 vol.9, 2017 года.
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IT companies are facing many difficulties and challenges when dealing with big data. These difficulties have surfaced due to the ever-expanding amount of data generated via personal computer, mobile devices, and social network sites. The significant increase in big data has created challenges for IT companies that need to extract necessary information and knowledge. Cloud computing, with its virtualized resources usage and dynamic scalability, is broadly used in organizations to address challenges related to big data and has an important influence on business in organizations. Furthermore, big data is changing the way organizations do business. This paper proposes novel cloud architecture to decrease problems related to big data. The proposed architecture is a combination of many big data infrastructures in the creation of a service. This architecture minimizes problems related to big data by improving performance and quality of service.
Cloud Computing, Big Bata Problem, Big Data Infrastructure, AWS, Eucalyptus, Hadoop
Короткий адрес: https://sciup.org/15011750
IDR: 15011750
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