Cloud computing is the latest trend in business for providing software, platforms and
services over the Internet. However, a widespread adoption of this paradigm has been …

Anomaly detection refers to the identification of patterns in a dataset that do not conform to
expected patterns. Depending on the domain, the non-conformant patterns are assigned …

Security is still a major concern in Cloud computing, especially the detection of nefarious
use or abuse of cloud instances. One reason for this, is the ever-growing complexity and …

Within today's large-scale systems, one anomaly can impact millions of users. Detecting
such events in real-time is essential to maintain the quality of services. It allows the …

Aiming at problems such as slow training speed, poor prediction effect, and unstable
detection results of traditional anomaly detection algorithms, a data mining method for …

Cloud computing as a model to deliver distributed resource and services on the pay-as-you-
go policy has become increasingly popular for all organizations including industry. However …

Cloud computing has become one of the most projecting words in the IT world due to its
design for providing computing service as a utility. The typical use of cloud computing as a …

Cloud computing is ubiquitous: more and more companies are moving the workloads into
the Cloud. However, this rise in popularity challenges Cloud service providers, as they need …

Wireless sensor networks (WSNs) have been widely deployed in various applications, eg,
agricultural monitoring and industrial monitoring, for their ease-of-deployment. The low-cost …

In this work, we address problem determination in virtualized clouds. We show that high
dynamism, resource sharing, frequent reconfiguration, high propensity to faults and …