Paper Info
Title
Measuring the impact of data center failures on a cloud-based emergency medical call system: Measuring the impact of data center failures on a cloud-based emergency medical call system
Abstract
Emergency call services are expected to be highly available in order to minimize the loss of urgent calls and, as a consequence, minimize loss of life due to lack of timely medical response. This service availability depends heavily on the cloud data center on which it is hosted. However, availability information alone cannot provide sufficient understanding of how failures impact the service and users' perception. In this paper, we evaluate the impact of failures on an emergency call system, considering service-level metrics such as the number of affected calls per failure and the time an emergency service takes until it recovers from a failure. We analyze a real data set from an emergency call center for a large Brazilian city. From stochastic models that represent a cloud data center, we evaluate different data center architectures to observe the impact of failures on the emergency call service. Results show that changing data center's architecture in order to improve availability from two to three nines cannot decrease the average number of affected calls per failure. On the other hand, it can decrease the probability to affect a considerable number of calls at the same time.
Year
DOI
Venue
2019
10.1002/cpe.5156
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
availability,cloud computing,data center failure,emergency call service
Journal
31.0
Issue
ISSN
Citations 
15.0
1532-0626
0
PageRank 
References 
Authors
0.34
3
8
Name
Order
Citations
PageRank
Demis Gomes103.04
Guto Leoni Santos2128.85
Daniel Rosendo302.70
Glauco Estácio Gonçalves4249.62
Moreira, A.5165.88
Judith Kelner66216.65
Djamel Sadok737157.81
Patricia Endo812125.32