@inproceedings{0ea82f8202ec4be19fe223a74a2e7d42,
title = "Reliability evaluation for cloud computing system considering common cause failure",
abstract = "Virtualization has been used in cloud computing to build multiple Virtual Machines (VMs) on a single physical machine, which enables computing resources partition and improving the physical resources utilization efficiency. However, the use of virtualization brings new challenge in reliability modeling for cloud computing. For example, when server failure occurs, all VMs co-located on the server cannot be operated, which is a typical common cause failure (CCFs). Since the task is executed by VMs, the states of VMs decide whether cloud computing can accomplish the given task. This paper proposes a new reliability model for cloud computing considering both server failures and VMs failures. Both fault tree and state-space models are used to solve this problem, and to reduce the computational complexity, a simplified method is provided to reduce the number of states.",
keywords = "CCF, cloud computing, fault tree, reliability, state-space model",
author = "Qiong Li and Ruiying Li",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7554175",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5267--5271",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
address = "美国",
}