Cloud computing platforms are complex system, which consist of a lot of software working together. Because of software defects, cloud computing platforms may has performance anomaly during runtime. In this paper, a data-driven anomaly detection method is proposed to monitor runtime performance for cloud computing platforms. The proposed method can not only detect the performance anomaly of clou...

The Adler-Bell-Jackiw (ABJ) anomaly of a 3 + 1 dimensional QED is calculated in the presence of a strong magnetic field. It is shown that in the regime with the lowest Landau level (LLL) dominance a dimensional reduction from D = 4 to D = 2 dimensions occurs in the longitudinal sector of the low energy effective field theory. In the chiral limit, the resulting anomaly is therefore comparable wi...

Background. Ebstein's anomaly is the most commonly occurring congenital abnormality associated with the Wolif-Parkinson-White (WPW) syndrome. However, the effects of Ebstein's anomaly on the risks and benefits of surgical ablation of accessory pathways in patients with WPW syndrome are unknown. Methods and Results. This study compared the long-term outcome of 38 WPW patients with Ebstein's anom...

System states that are anomalous from the perspective of a domain expert occur frequently in some anomaly detection problems. The performance of commonly used unsupervised anomaly detection methods may suffer in that setting, because they use frequency as a proxy for anomaly. We propose a novel concept for anomaly detection, called relative anomaly detection. It is tailored to be robust towards...

BACKGROUND Ebstein's anomaly is the most commonly occurring congenital abnormality associated with the Wolff-Parkinson-White (WPW) syndrome. However, the effects of Ebstein's anomaly on the risks and benefits of surgical ablation of accessory pathways in patients with WPW syndrome are unknown. METHODS AND RESULTS This study compared the long-term outcome of 38 WPW patients with Ebstein's anom...

Performance problems, which may stem from different system components, such as network, memory, and storage devices, are difficult to diagnose and isolate in distributed storage systems. In this paper, we present a performance anomaly detector which is able to efficiently detect performance anomaly and accurately identify the faulty sources in a system node of a distributed storage system. Our ...

The Internet can be made more secure and efficient with effective anomaly detection. In this paper, we describe a visual method for anomaly detection using archived Border Gateway Protocol (BGP) data. A special encoding of IP addresses built into an interactive visual interface design allows a user to quickly detect Origin AS changes by browsing through 2D visual representation of selected aspe...

In the class of streaming anomaly detection algorithms for univariate time series, the size of the sliding window over which various statistics are calculated is an important parameter. To address the anomalous variation in the scale of the pseudo-periodicity of time series, we define a streaming multi-scale anomaly score with a streaming PCA over a multi-scale lag-matrix. We define three metho...

using global free air gravity and topography data, first we have calculated a bouguer anomaly (ba) map for iranian plateau and then computed the residual isostasy anomaly map under the airy-heiskannen assumption. the term residual is used as to reflect the assumption of local isostatic compensation in contrast to a regional isostatic compensation. the value with which the gravity effect of the ...

We present a simple derivation of the one-loop trace anomaly in spinor QED through dispersion relations, avoiding completely any ultraviolet regu-larization. The anomaly can be expressed as a convergent sum rule for the imaginary part of a relevant formfactor. In the massless limit, the imaginary part produces a delta-function singularity at zero external momentum squared. Such a treatment reve...