دانلود رایگان مقاله انگلیسی داده های بزرگ در محاسبات ابری: چشم انداز مدیریت منابع - هینداوی 2018

Te modern day advancement is increasingly digitizing our lives which has led to a rapid growth of data. Such multidimensional datasets are precious due to the potential of unearthing new 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. Te primary focus of the study is how to classify major big data resource management systems in the context of 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 diferent aspects to identify usage scenarios of these platforms. Te study came up with some interesting fndings which are in contradiction with the available literature on the Internet.

6. Conclusions and Future Work

Tere are a number of disruptive and transformative big data technologies and solutions that are rapidly emanating and evolving in order to provide data-driven insight and innovation. Te primary object of the study was how to classify popular big data resource management systems. Tis study was also aimed at addressing the selection of candidate resource provider based on specifc big data application requirements. We surveyed diferent big data resource management frameworks and investigated the advantages and disadvantages for each of them. We carried out the performance evaluation of resource management engines based on seven key factors and each one of the frameworks was ranked based on the empirical evidence from the literature.