FTAB: Fault tolerance approach by using HMM with BAUM-WELCH algorithm in MCC

Pushpraj Patel, V. Prakash
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引用次数: 2

Abstract

Fault tolerance in mobile cloud computing is highly important aspect, even more than a conventional cloud computing because of the mobile nature of devices i.e. mobility. Mobile cloud computing (MCC) combines cloud computing and mobile devices to provide the benefits for mobile users, network operators and cloud providers also. Mobile devices have various problems like enter and leave the connection unpredictably, Limitation of battery power, frequent location changes, network signal loss, hardware failures and other common factors. Mobile devices appear and disappear in the network unpredictably. The proposed technique reduces the faults of mobile devices by using the past pattern of states and making the decision for predicting the future states of mobile devices. In this paper we have proposed a fault monitoring technique which is based on Hidden Markov Model (HMM) and Baum-Welch algorithm for analyzing and predicting the future resource state.
FTAB:基于HMM和BAUM-WELCH算法的MCC容错方法
在移动云计算中,容错是一个非常重要的方面,甚至比传统的云计算更重要,因为设备具有移动的性质,即移动性。移动云计算(MCC)将云计算和移动设备结合起来,为移动用户、网络运营商和云提供商提供好处。移动设备存在着各种各样的问题,如不可预测地进入和离开连接,电池电量的限制,频繁的位置变化,网络信号丢失,硬件故障等常见因素。移动设备在网络中的出现和消失是不可预测的。该技术利用移动设备的过去状态模式,并对移动设备的未来状态进行预测,从而减少了移动设备的故障。本文提出了一种基于隐马尔可夫模型和Baum-Welch算法的故障监测技术,用于分析和预测未来的资源状态。
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