An Optimized Workload for Failure Data Analysis of Mobile P2P over Bluetooth Ad-Hoc Networks

Mobile Peer-to-Peer (P2P) is a base paradigm for many new killer applications for mobile ad-hoc networks and the Mobile Internet. Currently, it is not well understood whether this paradigm is able to meet business and consumer dependability expectations. Dependability assessment of P2P applications can be achieved by field failure data analysis. The collection of failure data from wireless ad-hoc networks is a challenging task due to the intermittent usage and the mobility of users that do not allow to measure time-based dependability parameters. For this reason, we propose to deploy automated workloads on the actual peer nodes which have to operate continuously. Specifically, this paper formalizes the problem and presents the design of a workload for mobile P2P that aims to orchestrate the peers uniformly, letting the failure occurrence be independent of the network load. Simulation results and experimentation over an actual Bluetooth network demonstrate that the proposed workload meets the defined requirements.