AIR application for reliability analysis considering debugging process and network traffic in mobile clouds |
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| Affiliation: | 1. Digital Manufacturing Equipment and Technology National Key Laboratory, PR China;2. Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China;3. Shenyang Aircraft Research Institute, ShenYang, Liaoning 110035, PR China;1. Department of Computer Science, Norwegian University of Science and Technology (NTNU), Sem Sælands vei 9, Trondheim, 7491, Norway;2. Department of Business and IT, University of South-Eastern Norway;1. Hebei University of Engineering, Handan, China;2. School of Engineering, Newcastle University, Newcastle upon Tyne, UK;3. School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK |
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| Abstract: | Mobile clouds are used by many people via a network service to share the computing resources, because of the unification management of data and low cost. In case of the mobile device, the network access devices are frequently used by many software installed via the installer software. Considering the effect of the debugging process on mobile software in the development of a method of reliability assessment for the mobile clouds, it is necessary to grasp the situation of installer software, the network traffic, the installed software, etc.In this paper, we develop an integrated method of reliability assessment considering the software failure and network traffic based on a hazard rate model and neural network for the mobile clouds. In particular, we develop the AIR application for reliability analysis based on the proposed method. Then, we show the performance examples of the developed AIR application to analyze the method of software reliability assessment for the mobile clouds. |
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| Keywords: | Mobile clouds Reliability Stochastic modeling Software tool Open source software |
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