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Design and Implementation of massive data retrieving based on cloud computing platform

机译:基于云计算平台的大规模数据检索的设计与实现

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Considering the low efficiency of massive data retrieving in traditional parallel processing, by taking advantage of the great availability of cloud computing paradigm, we propose a hybrid solution based on Map-Reduce model and distributed computing framework-Spark. Moreover, we design and implement this solution in our lab. The results show that the solution can effectively improve the performance of massive data retrieving.
机译:考虑到传统并行处理中的大规模数据检索的低效率,通过利用云计算范例的巨大可用性,我们提出了一种基于MAP降低模型和分布式计算框架-Spart的混合解决方案。此外,我们在实验室中设计和实施此解决方案。结果表明,该解决方案可以有效地提高大规模数据检索的性能。

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