By Topic

A Software Architecture for the Analysis of Large Sets of Data Streams in Cloud Infrastructures

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mauro Andreolini ; Dept. of Inf. Eng., Univ. of Modena & Reggio Emilia, Modena, Italy ; Michele Colajanni ; Stefania Tosi

System management algorithms in private and public cloud infrastructures have to work with literally thousands of data streams generated from resource, application and event monitors. This cloud context opens two novel issues that we address in this paper: how to design a software architecture that is able to gather and analyze all information within real-time constraints, how it is possible to reduce the analysis of the huge collected data set to the investigation of a reduced set of relevant information. The application of the proposed architecture is based on the most advanced software components, and is oriented to the classification of the statistical behavior of servers and to the analysis of significant state changes. These results guide model-driven management systems to investigate only relevant servers and to apply suitable decision models considering the deterministic or non-deterministic nature of server behaviors.

Published in:

Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on

Date of Conference:

Aug. 31 2011-Sept. 2 2011