• Mrs.J.Chinna
• Dr.(Mrs.) K. Kavitha

Nowadays technical advancement is increased and digitizes our lives in an ultimate manner, which have led to the rapid growth of data. Such multidimensional datasets are precious due to the potential knowledge and developing decision-making insights from them. Analyzing this huge amount of data from multiple sources can help organizations to plan for the future and anticipate changing market trends and customer requirements. While the Hadoop framework is a popular platform for processing larger datasets, there are a number of other computing infrastructures, available to use in various application domains. The primary focus of the study is how to classify big data resource management systems in the context of a cloud computing environment. We identify some key features which characterize big data frameworks as well as their associated challenges and issues. We use various evaluation metrics from different aspects to identify usage scenarios of these platforms. The study came up with some interesting findings which are in contradiction with the available literature on the Internet.

DIFFERENT METHODOLOGY IN BIG DATA AND CLOUD COMPUTING RESOURCE MANAGEMENT FRAMEWORKS

"DIFFERENT METHODOLOGY IN BIG DATA AND CLOUD COMPUTING RESOURCE MANAGEMENT FRAMEWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.82-89, April-2019, Available :http://www.jetir.org/papers/JETIRBI06015.pdf

"DIFFERENT METHODOLOGY IN BIG DATA AND CLOUD COMPUTING RESOURCE MANAGEMENT FRAMEWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp82-89, April-2019, Available at : http://www.jetir.org/papers/JETIRBI06015.pdf