Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964754504> ?p ?o ?g. }
- W2964754504 abstract "Detecting and analyzing potential anomalous performances in cloud computing systems is essential for avoiding losses to customers and ensuring the efficient operation of the systems. To this end, a variety of automated techniques have been developed to identify anomalies in cloud computing performance. These techniques are usually adopted to track the performance metrics of the system (e.g., CPU, memory, and disk I/O), represented by a multivariate time series. However, given the complex characteristics of cloud computing data, the effectiveness of these automated methods is affected. Thus, substantial human judgment on the automated analysis results is required for anomaly interpretation. In this paper, we present a unified visual analytics system named CloudDet to interactively detect, inspect, and diagnose anomalies in cloud computing systems. A novel unsupervised anomaly detection algorithm is developed to identify anomalies based on the specific temporal patterns of the given metrics data (e.g., the periodic pattern), the results of which are visualized in our system to indicate the occurrences of anomalies. Rich visualization and interaction designs are used to help understand the anomalies in the spatial and temporal context. We demonstrate the effectiveness of CloudDet through a quantitative evaluation, two case studies with real-world data, and interviews with domain experts." @default.
- W2964754504 created "2019-08-13" @default.
- W2964754504 creator A5005109197 @default.
- W2964754504 creator A5025567094 @default.
- W2964754504 creator A5027659574 @default.
- W2964754504 creator A5035513710 @default.
- W2964754504 creator A5037015805 @default.
- W2964754504 creator A5049886136 @default.
- W2964754504 creator A5080814061 @default.
- W2964754504 creator A5085623974 @default.
- W2964754504 creator A5091466289 @default.
- W2964754504 date "2019-07-30" @default.
- W2964754504 modified "2023-10-03" @default.
- W2964754504 title "CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems" @default.
- W2964754504 cites W1184354083 @default.
- W2964754504 cites W1598358187 @default.
- W2964754504 cites W187043655 @default.
- W2964754504 cites W1876967670 @default.
- W2964754504 cites W1897729025 @default.
- W2964754504 cites W1970655212 @default.
- W2964754504 cites W1975725126 @default.
- W2964754504 cites W1984072195 @default.
- W2964754504 cites W2003797551 @default.
- W2964754504 cites W2026493302 @default.
- W2964754504 cites W2038045252 @default.
- W2964754504 cites W2045064676 @default.
- W2964754504 cites W2047111942 @default.
- W2964754504 cites W2068963126 @default.
- W2964754504 cites W2074250989 @default.
- W2964754504 cites W2089554624 @default.
- W2964754504 cites W2094059719 @default.
- W2964754504 cites W2103038197 @default.
- W2964754504 cites W2104052971 @default.
- W2964754504 cites W2112397756 @default.
- W2964754504 cites W2122646361 @default.
- W2964754504 cites W2123967542 @default.
- W2964754504 cites W2124536999 @default.
- W2964754504 cites W2126249051 @default.
- W2964754504 cites W2131737623 @default.
- W2964754504 cites W2132374765 @default.
- W2964754504 cites W2137130182 @default.
- W2964754504 cites W2138199375 @default.
- W2964754504 cites W2141115475 @default.
- W2964754504 cites W2141177935 @default.
- W2964754504 cites W2144024567 @default.
- W2964754504 cites W2144182447 @default.
- W2964754504 cites W2147191819 @default.
- W2964754504 cites W2147997165 @default.
- W2964754504 cites W2148339936 @default.
- W2964754504 cites W2149498749 @default.
- W2964754504 cites W2150398577 @default.
- W2964754504 cites W2152825437 @default.
- W2964754504 cites W2153635508 @default.
- W2964754504 cites W2163487757 @default.
- W2964754504 cites W2172017522 @default.
- W2964754504 cites W2187089797 @default.
- W2964754504 cites W2198041540 @default.
- W2964754504 cites W2294608516 @default.
- W2964754504 cites W2296719434 @default.
- W2964754504 cites W2465468597 @default.
- W2964754504 cites W2577261366 @default.
- W2964754504 cites W2603399189 @default.
- W2964754504 cites W2614786548 @default.
- W2964754504 cites W2743050295 @default.
- W2964754504 cites W2751378044 @default.
- W2964754504 cites W2796187354 @default.
- W2964754504 cites W27994497 @default.
- W2964754504 cites W2807467296 @default.
- W2964754504 cites W2888693151 @default.
- W2964754504 cites W4012559 @default.
- W2964754504 cites W40471430 @default.
- W2964754504 doi "https://doi.org/10.48550/arxiv.1907.13187" @default.
- W2964754504 hasPublicationYear "2019" @default.
- W2964754504 type Work @default.
- W2964754504 sameAs 2964754504 @default.
- W2964754504 citedByCount "0" @default.
- W2964754504 crossrefType "posted-content" @default.
- W2964754504 hasAuthorship W2964754504A5005109197 @default.
- W2964754504 hasAuthorship W2964754504A5025567094 @default.
- W2964754504 hasAuthorship W2964754504A5027659574 @default.
- W2964754504 hasAuthorship W2964754504A5035513710 @default.
- W2964754504 hasAuthorship W2964754504A5037015805 @default.
- W2964754504 hasAuthorship W2964754504A5049886136 @default.
- W2964754504 hasAuthorship W2964754504A5080814061 @default.
- W2964754504 hasAuthorship W2964754504A5085623974 @default.
- W2964754504 hasAuthorship W2964754504A5091466289 @default.
- W2964754504 hasBestOaLocation W29647545041 @default.
- W2964754504 hasConcept C111919701 @default.
- W2964754504 hasConcept C120314980 @default.
- W2964754504 hasConcept C121332964 @default.
- W2964754504 hasConcept C124101348 @default.
- W2964754504 hasConcept C12997251 @default.
- W2964754504 hasConcept C134306372 @default.
- W2964754504 hasConcept C136197465 @default.
- W2964754504 hasConcept C151730666 @default.
- W2964754504 hasConcept C154945302 @default.
- W2964754504 hasConcept C26873012 @default.
- W2964754504 hasConcept C2779343474 @default.
- W2964754504 hasConcept C33923547 @default.
- W2964754504 hasConcept C36464697 @default.