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CSII-TSBCC: Comparative Study of Identifying Issues of Task Scheduling of Big data in Cloud Computing

机译:CSII-TSBCC:云计算中大数据任务调度问题的比较研究

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The world moves day by day toward cloud computing and large data, where it includes huge information sets from many sources such as community medium, company, astronomic, healthcare, economics, depository and many additional field causes. All this information generates processing and use complexities. Due to improved hardware possessions and software algorithms, system throughput, information accuracy, locality, management, examination, storage space, data privacy and task scheduling, many variables can influence system efficiency. In big data and clouds, all these problems generate difficulties. This section describes the issues of scheduling caused by cloud computing.
机译:世界一天逐日移动到云计算和大数据,其中包括来自社区媒体,公司,天文学,医疗保健,经济学,存款等许多来源的巨大信息集。 所有这些信息都生成处理和使用复杂性。 由于硬件财产和软件算法,系统吞吐量,信息准确性,地方,管理,检查,存储空间,数据隐私和任务调度,许多变量都可以影响系统效率。 在大数据和云中,所有这些问题都会产生困难。 本节介绍云计算引起的调度问题。

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