作者
Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao
发表日期
2019/12
期刊
2019 IEEE International Conference on Big Data (BigData'19)
简介
In the past decade, we have envisioned enormous growth in the data generated by different sources, ranging from weather sensors and customer purchasing records to Internet of Things devices. Emerging data-driven technologies have been reforming our daily life for years, such as Amazon Personalize [1], which creates real-time individualized recommendations for customers according to multidimensional data analytics. It is, however, a challenging task to fully utilize and harness the potential of data, especially big data, due to Volume, Velocity, Variety, Variability and Value (5Vs) [2]. Most businesses thus choose to migrate their hardware demands to cloud providers, such as Amazon Web Service [3], which is powered by hundreds of thousands of servers. A cluster that builds up by a number of cloud servers is a basic management unit to provide shared computing resources. The typical structure of a cluster …
引用总数
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Y Fu, S Zhang, J Terrero, Y Mao, G Liu, S Li, D Tao - 2019 IEEE International Conference on Big Data (Big …, 2019