Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks

This work presents a failure data analysis campaign on Bluetooth personal area networks (PANs) conducted on two kind of heterogeneous testbeds (working for more than one year). The obtained results reveal how failures distribution is characterized and suggest how to improve the dependability of Bluetooth PANs. Specifically, we define the failure model and we then identify the most effective recovery actions and masking strategies that can be adopted for each failure. We then integrate the discovered recovery actions and masking strategies in our testbeds, improving the availability and the reliability of 3.64% (up to 36.6%) and 202% (referred to the mean time to failure), respectively

[1]  Philip Koopman,et al.  Coverage and the use of cyclic redundancy codes in ultra-dependable systems , 2005, 2005 International Conference on Dependable Systems and Networks (DSN'05).

[2]  Thomas G. Zimmerman,et al.  : Near-field , 2022 .

[3]  Chase Cotton,et al.  Packet-level traffic measurements from the Sprint IP backbone , 2003, IEEE Netw..

[4]  Mark S. Squillante,et al.  Failure data analysis of a large-scale heterogeneous server environment , 2004, International Conference on Dependable Systems and Networks, 2004.

[5]  Azer Bestavros,et al.  Self-similarity in World Wide Web traffic: evidence and possible causes , 1996, SIGMETRICS '96.

[6]  Carl E. Landwehr,et al.  Basic concepts and taxonomy of dependable and secure computing , 2004, IEEE Transactions on Dependable and Secure Computing.

[7]  Rajeev Gandhi,et al.  Tolerance to Access-Point Failures in Dependable Wireless Local-Area Networks , 2003, 2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems.

[8]  Saurabh Bagchi,et al.  Analysis and evaluation of topological and application characteristics of unreliable mobile wireless ad-hoc network , 2004, 10th IEEE Pacific Rim International Symposium on Dependable Computing, 2004. Proceedings..

[9]  Lawrence G. Votta,et al.  Analysis of failure and recovery rates in a wireless telecommunications system , 2002, Proceedings International Conference on Dependable Systems and Networks.

[10]  Mario Gerla,et al.  Bluetooth: “Last Meter” Technology for Nomadic Wireless Internetting , 2001 .

[11]  Mario Gerla,et al.  Personal Area Networks: Bluetooth or IEEE 802.11? , 2002, Int. J. Wirel. Inf. Networks.

[12]  Elgar Fleisch,et al.  A Ubiquitous Computing environment for aircraft maintenance , 2004, SAC '04.

[13]  Jakob E. Bardram,et al.  Applications of context-aware computing in hospital work: examples and design principles , 2004, SAC '04.

[14]  Kishor S. Trivedi,et al.  Dependability enhancement for IEEE 802.11 wireless LAN with redundancy techniques , 2003, 2003 International Conference on Dependable Systems and Networks, 2003. Proceedings..

[15]  Domenico Cotroneo,et al.  An automated distributed infrastructure for collecting Bluetooth field failure data , 2005, Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05).

[16]  Daniel P. Siewiorek,et al.  A comparative analysis of event tupling schemes , 1996, Proceedings of Annual Symposium on Fault Tolerant Computing.

[17]  Ravishankar K. Iyer,et al.  Analyze-NOW-an environment for collection and analysis of failures in a network of workstations , 1996, Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering.

[18]  Ravishankar K. Iyer,et al.  Measurement-based Analysis of Networked System Availability , 2000, Performance Evaluation.

[19]  Ravishankar K. Iyer,et al.  Analyze-NOW-an environment for collection and analysis of failures in a network of workstations , 1996, IEEE Trans. Reliab..

[20]  Andrea Bondavalli,et al.  Service-Level Availability Estimation of GPRS , 2003, IEEE Trans. Mob. Comput..