Mingguang Yu1,2, Xia Zhang1,2,*
Computer Systems Science and Engineering, Vol.46, No.2, pp. 2447-2469, 2023, DOI:10.32604/csse.2023.037506
Abstract Modern cloud services are monitored by numerous multidomain and multivendor monitoring tools, which generate massive numbers of alerts and events that are not actionable. These alerts usually carry isolated messages that are missing service contexts. Administrators become inundated with tickets caused by such alert events when they are routed directly to incident management systems. Noisy alerts increase the risk of crucial warnings going undetected and leading to service outages. One of the feasible ways to cope with the above problems involves revealing the correlations behind a large number of alerts and then aggregating the related alerts according to their correlations.… More >
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