Computer
Measurement-based Analysis of Networked System Availability
Performance Evaluation: Origins and Directions
Cyclic Redundancy Code (CRC) Polynomial Selection For Embedded Networks
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
A Comprehensive Model for Software Rejuvenation
IEEE Transactions on Dependable and Secure Computing
Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
Why do internet services fail, and what can be done about it?
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
How Do Mobile Phones Fail? A Failure Data Analysis of Symbian OS Smart Phones
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Dependability Evaluation and Modeling of the Bluetooth Data Communication Channel
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Wi-Fi (802.11b) and Bluetooth: enabling coexistence
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.00 |
The migration from mobile to ubiquitous Internet is at hand, due to the intense growth of short range wireless technologies. Users accessing the Internet through wireless devices are increasing, if compared to "wired" ones, and they expect the same dependability level they already experience on wired networks, that is high quality "always on" wireless networks. But how can we analyze the dependability level of a wireless network? Direct analysis of failures from the field of application is an effective practice to understand the actual dependability behavior of an operational system. However, despite its wide use over the last four decades on a large variety of systems, field data analysis has rarely been applied to wireless networks. Through the experience gained from extensive failure analysis of Bluetooth networks, the article shows how field failure data can play a key role to fill the gap on understanding the dependability behavior of wireless networks.