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Fault classification in mobile cloud computing


Communication between several server computers in a cloud must be reliable (i.e., resilient to message losses and delays), robust (with a known and secure failure mode) and necessarily scalable. In addition, the use of mobile communication is now a reality and has replaced, with some advantages, wired network communication. The combination of mobile and cloud computing increases the need to ensure the attributes of resilience and robustness, but some issues need to be solved. With regards to communication reliability, it is necessary to examine whether message losses and delays have the same behavior as in other computational environments. The failure mode must be refined, as communication loss due to poor range and signal strength in mobile network differs from that of other network environments. Thus, this project proposal seeks to characterize the faults and the behaviors of mobile networks in the cloud environment through experimental research. For this purpose, the fault injection technique is used to emulate message loss and delay, and communication in the presence of faults under normal load and overload. Mobility is emulated through software in a controlled environment. Anticipated project contributions include the characterization of faults in cloud environments, a better comprehension of communication failure modes, as well as a better understanding of mobile using a cloud environment in the presence of faults. The results of this study may help to improve fault injection techniques of future studies, since emulation can be done realistically and accurately. (AU)

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(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
URSINI, EDSON L.; MARTINS, PAULO S.; MORAES, REGINA L.; TIMOTEO, VARESE S.. n-Steps ahead software reliability prediction using the Kalman filter. Applied Mathematics and Computation, v. 245, p. 116-134, . (13/17823-0, 11/17339-5)

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