Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Intelligent Anomaly Detection and Mitigation in Data Centers   Data centers play a key role in today's Internet. Cloud applications are
mainly hosted on multi-tenant warehouse-scale data centers. Anomalies pose a
serious threat to data centers' operations. If not controlled properly, a
simple anomaly can spread throughout the data center, resulting in a cascading
failure. Amazon AWS had been affected by such incidents recently. Although some
solutions are proposed to detect anomalies and prevent cascading failures, they
mainly rely on application-specific metrics and case-based diagnosis to detect
the anomalies. Given the variety of applications on a multi-tenant data center,
proposed solutions are not capable of detecting anomalies in a timely manner.
In this paper we design an application-agnostic anomaly detection scheme. More
specifically, our design uses a highly distributed data mining scheme over
network-level traffic metrics to detect anomalies. Once anomalies are detected,
simple actions are taken to mitigate the damage. This ensures that errors are
confined and prevents cascading failures before administrators intervene.

16
The categories of this paper are: stat
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org