TY - GEN
T1 - A modeling framework for evaluating effectiveness of smart-infrastructure crises management systems
AU - Mukherjee, Tridib
AU - Gupta, Sandeep
PY - 2008
Y1 - 2008
N2 - Crises management for smart-infrastructure - infused with sensors, actuators, and intelligent agent technologies for monitoring, access control, and crisis response - requires objective and quantitative evaluation to learn for future. The concept of criticality - characterizing the effect of crises on the inhabitants of smart-infrastructure - is used in this regard. This paper establishes a Criticality Response Modeling (CRM) framework to perform quantitative evaluation of criticality response. The framework can further be incorporated in any criticality-aware middleware for smart-infrastructure. An established stochastic model for criticality response is used from our previous work. The effectiveness of criticality response is measured in terms of the Manageability metric, characterized by the Q-value or Qualifiedness of the response actions. The CRM is applied to fire emergencies in an envisioned smart Oil & Gas Production Platforms (OGPP). A simulation based evaluation, using CRM over OGPP, show that high manageability is achieved with - i) fast criticality detection, ii) fast response actuation, and iii) non-obliviousness to any subsequent criticality during response actuation - verifying the applicability of Q-value as the manageability metric.
AB - Crises management for smart-infrastructure - infused with sensors, actuators, and intelligent agent technologies for monitoring, access control, and crisis response - requires objective and quantitative evaluation to learn for future. The concept of criticality - characterizing the effect of crises on the inhabitants of smart-infrastructure - is used in this regard. This paper establishes a Criticality Response Modeling (CRM) framework to perform quantitative evaluation of criticality response. The framework can further be incorporated in any criticality-aware middleware for smart-infrastructure. An established stochastic model for criticality response is used from our previous work. The effectiveness of criticality response is measured in terms of the Manageability metric, characterized by the Q-value or Qualifiedness of the response actions. The CRM is applied to fire emergencies in an envisioned smart Oil & Gas Production Platforms (OGPP). A simulation based evaluation, using CRM over OGPP, show that high manageability is achieved with - i) fast criticality detection, ii) fast response actuation, and iii) non-obliviousness to any subsequent criticality during response actuation - verifying the applicability of Q-value as the manageability metric.
KW - Crisis response
KW - Criticality
KW - Evaluation framework
KW - Human-centered computing
KW - Middleware
KW - Smart-infrastructure
KW - Stochastic model
UR - http://www.scopus.com/inward/record.url?scp=50649118126&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50649118126&partnerID=8YFLogxK
U2 - 10.1109/THS.2008.4534512
DO - 10.1109/THS.2008.4534512
M3 - Conference contribution
AN - SCOPUS:50649118126
SN - 1424419778
SN - 9781424419777
T3 - 2008 IEEE International Conference on Technologies for Homeland Security, HST'08
SP - 549
EP - 554
BT - 2008 IEEE International Conference on Technologies for Homeland Security, HST'08
T2 - 2008 IEEE International Conference on Technologies for Homeland Security, HST'08
Y2 - 12 May 2008 through 13 May 2008
ER -