Title :
Dependability evaluation of a mhealth system using a mobile cloud infrastructure
Author :
Araujo, J. ; Silva, B. ; Oliveira, D. ; Maciel, P.
Author_Institution :
Inf. Center, Fed. Univ. of Pernambuco, Recife, Brazil
Abstract :
The use of mobile cloud computing infrastructure can be used to improve the delivery of health services. This paper proposes a high-level model that characterizes the behavior of an mHealth system. The main objective of this work is to identify the probability of a message being delivered at a time t, whereas several components involved may fail. Various scenarios were analysed considering different possibilities for communications, battery discharge rates and timeouts. The results show that, in the best case, a message may be delivered in 1.3 minutes with a 0.9999 probability, but in the worst case may take up to 8.8 minutes.
Keywords :
cloud computing; medical computing; mobile computing; probability; battery discharge rates; dependability evaluation; health services; mhealth system; mobile cloud computing infrastructure; probability; Batteries; Cloud computing; IEEE 802.11 Standards; Mobile communication; Mobile handsets; Monitoring; Transient analysis; absorbing state; analytical models; mHealth;
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/SMC.2014.6974102
