走向云端的实时分析

Amr Osman, M. El-Refaey, A. Elnaggar
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引用次数: 29

摘要

数据爆炸和各种IT服务生成的数据量的巨大增长对利用和智能分析生成的数据和企业内容提出了巨大的需求。根据最近的研究,预计在未来五年内,这类数据的数量将增加26倍。虽然可能有一些现有的技术支持这一点,但业界正在疯狂地探索新的模式,以带来更高效、更高性能的解决方案。在云计算和高性能分析(如可扩展并行机器学习)的帮助下,大数据可能成为更智能的云驱动IT世界的燃料。通过我们的工作,我们在文献中提供了高性能先进云分析的最新综述,试图找到分布式分析计算的理想实时平台。
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Towards Real-Time Analytics in the Cloud
The data explosion and the tremendous growth in the volume of data generated from various IT services places an enormous demand on harnessing and smartly analyzing the generated data and enterprise contents. According to recent studies, it is predicted that the volume of such data will become 26 fold in the next five years. While there might be some existing technologies to support this, industry is frantically exploring new models that lead to more efficient and higher performance solutions. With the aid of cloud computing and high performance analytics such as scalable-parallel machine learning, big data could be the fuel to a smarter cloud-powered IT world. Through our work, we provide a state-of-the-art review of high-performance advanced cloud analytics in the literature in attempt to find the ideal real-time platform for distributed analytic computations.
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