By Topic

A cost effective algorithm for outlier detection in distributed systems

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
$31 $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

2 Author(s)
Devi, R.D.H. ; Dept. of CSE, K.L.N Coll. of Eng., Madurai , India ; Devi, M.I.

Sensor networks, peer-to-peer systems, and other large distributed systems, produce, store and process huge amounts of status data as a main part of their daily operation. Computing global predicates in such systems is usually very costly. The cost further increases when the data changes rapidly and computation has to follow these changes In this paper we describe a two step approach for dealing with these costs. First, we describe a highly efficient global algorithm which can be used to monitor a wide class of data mining models. Then, we use this algorithm as a feedback loop for the monitoring of complex functions of the data such as its outlier detection. Finally we would like to extend our future work is to show that how fail-stop process failures can be tolerated without check pointing or message logging.

Published in:

Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on

Date of Conference:

23-25 Aug. 2012