Abstract
In addition to the traditional reactive fault-tolerant technologies, such as erasure codes and replication, proactive fault tolerance can be used to improve the system’s reliability significantly. To the best of our knowledge, however, there is no previous publications on the reliability of such a cloud storage system except for those on RAID systems. In this paper, several Markov-based models are respectively proposed to evaluate the reliability of the cloud storage systems with/without proactive fault tolerance from the system perspective. Since proactive measure should be coupled with some reactive measure to ensure the systems reliability, the reliability model for such a system will be very intricate. To facilitate model building, we propose the basic state transition unit (BSTU), to describe the general pattern of state transition in the proactive cloud storage systems. BSTU serves as the generic “brick” for building the overall reliability model for such a system. Using our models, we demonstrate the benefits that proactive fault tolerance has on a system’s reliability, and also estimate the impacts of some system parameters on it.
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Acknowledgments
This work is partially supported by NSF of China (61373018, 11301288, 11450110409), Program for New Century Excellent Talents in University (NCET130301), the Fundamental Research Funds for the Central Universities (65141021) and the Ph.D. Candidate Research Innovation Fund of Nankai University.
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Li, J., Li, M., Wang, G., Liu, X., Li, Z., Tang, H. (2015). Global Reliability Evaluation for Cloud Storage Systems with Proactive Fault Tolerance. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_14
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