Identification and Evaluation of Monitoring Techniques for the Performance of a Communication Network.
Abstract
This study investigates the application of statistical process control methods to monitoring the performance of a communication network. The methods applied include four different types of control charts. The literature search uncovered only one previous study that used a control chart to monitor a communication network. Using a case study of a communication network, four important issues for proper control chart usage are emphasized. These issues are: proper data collection rate due to autocorrelation, proper subgrouping of the data, ensuring that count data conforms to the assumptions of the binomial probability model before implementing p or np control charts, and viability of using subgroups of aftribute data as measurement data on an x-bar chart. The results indicate that control charts are indeed a viable method for monitoring a communication network's performance over time, especially when the available data on the network is limited.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1995
- Accession Number
- ADA305757
Entities
People
- Maureen E. Borgia
Organizations
- Air Force Institute of Technology