1 research outputs found
Online phase detection and characterization of cloud applications
In this paper, we introduce a new methodology for
automatic phase detection and characterization for applications
running on the cloud. In contrast to existing approaches, our
approach is novel in the fact that it is non-intrusive, more general
(supports multiple programming languages), lightweight and can
detect phase changes online as the application runs. We evaluate
our approach for a number of C, C++ and Java application
servers that are widely used in the cloud. Our method achieves
a phase change detection accuracy upto 98.2% with an average
detection delay of less than 0.01 seconds after the start or end of
a phase. We also show a sample use case of our phase detection
and characterization method for anomaly detection in the cloud