Paper Info
Title
Self-adaptive IoT architectures: an emergency handling case study.
Abstract
Along with the rapid growth of IoT technologies and devices, their solutions are currently being applied on various domains such as health-care, transportation and agriculture, but mainly on crowd monitoring and emergency handling. The latter is a safety critical IoT system based on collecting and analyzing the real-time data to perform proper actuation. In order to engineer such a high quality IoT application, a proper software architecture should be designed. In order for the software architecture to be able to optimize critical requirements such as fault-tolerance, performance and energy consumption, it ought to: i) adapt itself to real-time environment transformation, ii) be designed in a proper level of elements distribution. In this paper, we critically analyze a set of IoT distribution and self-adaptation patterns to identify their suitable architectural combinations. Further, we use our IoT modeling framework (CAPS) to model an emergency handling system. Based on these, we design two quality driven architectures to be used for a forest monitoring and evacuation example and qualitatively evaluate and compare them.
Year
Venue
Field
2018
ECSA (Companion)
Systems engineering,Crowd monitoring,Computer science,Internet of Things,Self adaptive,Self adaptation,Software architecture,Energy consumption
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
12
4
Name
Order
Citations
PageRank
Henry Muccini1118592.63
Romina Spalazzese214916.90
Mahyar Tourchi Moghaddam3113.90
Mohammad Sharaf4688.86