Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks

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	Similar Articles Articles by Marcello Cinque Articles by Domenico Cotroneo Articles by Stefano Russo

International Conference on Dependable Systems and Networks (DSN'06)

Philadelphia, Pennsylvania

June 25-June 28

ISBN: 0-7695-2607-1

	ASCII Text	x
	Marcello Cinque, Domenico Cotroneo, Stefano Russo, "Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks," Dependable Systems and Networks, International Conference on, pp. 313-322, International Conference on Dependable Systems and Networks (DSN'06), 2006.

	BibTex	x
	@article{ 10.1109/DSN.2006.20, author = {Marcello Cinque and Domenico Cotroneo and Stefano Russo}, title = {Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks}, journal ={Dependable Systems and Networks, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2607-1}, pages = {313-322}, doi = {http://doi.ieeecomputersociety.org/10.1109/DSN.2006.20}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Dependable Systems and Networks, International Conference on TI - Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks SN - 0-7695-2607-1 SP313 EP322 A1 - Marcello Cinque, A1 - Domenico Cotroneo, A1 - Stefano Russo, PY - 2006 KW - null VL - 0 JA - Dependable Systems and Networks, International Conference on ER -

Marcello Cinque, Universita di Napoli Federico II

Domenico Cotroneo, Universita di Napoli Federico II

Stefano Russo, Laboratorio ITEM- Consorzio Interuniversitario Nazionale per l?Informatica

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSN.2006.20

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 are 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.

Citation:

Marcello Cinque, Domenico Cotroneo, Stefano Russo, "Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks," dsn, pp.313-322, International Conference on Dependable Systems and Networks (DSN'06), 2006

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