计算机科学 ›› 2016, Vol. 43 ›› Issue (8): 19-25.doi: 10.11896/j.issn.1002-137X.2016.08.004
洪斌,邓波,彭甫阳,包阳,冯学伟
HONG Bin, DENG Bo, PENG Fu-yang, BAO Yang and FENG Xue-wei
摘要： 云计算资源状态监控作为保障云服务质量和可靠性的重要自动化手段,必须从海量的监控数据中分析出各类云资源的真实状态信息。为了减少资源监控任务自身对云计算资源的消耗,提出一种基于PCA(Principal Components Analysis)降维的监控数据的降维和筛选技术。监控数据转换利用PCA降维,将原始监控数据映射至若干主成分方向上,实现数据压缩。而监控数据筛选则着眼于在保留原始数据的前提下,筛选出关键监控指标以有效表征资源状态。基于VICCI云服务实验平台的实验结果证明,所提出的方法能够从多种监控数据中快速筛选出表征资源状态的核心数据,在保证状态监控效果的前提下,有效减少了监控任务所需处理的数据量。
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