DocumentCode :
3287852
Title :
FTAB: Fault tolerance approach by using HMM with BAUM-WELCH algorithm in MCC
Author :
Patel, Pragati ; Prakash, V.
Author_Institution :
Dept. of Comput. Sci. & Eng., SVITS, Indore, India
fYear :
2013
fDate :
26-28 July 2013
Firstpage :
1
Lastpage :
4
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.
Keywords :
cloud computing; fault tolerance; hidden Markov models; mobile computing; BAUM-WELCH algorithm; FTAB; HMM algorithm; MCC; battery power; cloud providers; fault monitoring; fault tolerance; hardware failures; hidden Markov model; mobile cloud computing; mobile devices; mobile users; network operators; network signal loss; Cloud computing; Fault tolerance; Fault tolerant systems; Hidden Markov models; Mobile communication; Mobile handsets; Monitoring; Hidden Markov model; cloud computing; mobile cloud computing; monitoring time interval; pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on
Conference_Location :
Bhopal
ISSN :
2151-7681
Print_ISBN :
978-1-4673-5997-9
Type :
conf
DOI :
10.1109/WOCN.2013.6616256
Filename :
6616256
Link To Document :
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