Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Distributed diagnosis of network faults and performance problems for tactical military networks

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

12 Author(s)
Nodine, M. ; Telcordia Technol., Inc., Piscataway, NJ, USA ; Levin, G. ; Kurachik, K. ; Woelk, D.
more authors

This paper describes the Tackle system and its model-based approach for analysis and correlation of fault- and performance-related problems in wireless networks. The Tackle system is intended to operate over tactical networks to help uphold communication requirements in the network that are critical to the success of a mission. It does this by producing and reasoning over executable models that adapt to changing network topologies and communication requirements. The Tackle modeling approach allows reasoning about network state to be distributed throughout the nodes in the network, and to be able to operate at different perspectives at multiple levels of aggregation based on the layers in the network hierarchy. Each perspective at each layer of the hierarchy is represented in a correlation domain. During operation, each Tackle Correlator reasons over its own correlation domain. Tackle Clearinghouses reconcile network state that is shared by multiple correlation domains. This approach supports the eventual goal of consistent and informed root cause analysis across the network. We have implemented and rigorously tested a correlation engine that executes the models in a simulated environment with multiple nodes in multiple subnets. We present our testing results and analysis at the end of this paper.

Published in:

MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010

Date of Conference:

Oct. 31 2010-Nov. 3 2010