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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mukherjee, T. Gupta, S.K.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ (Mukherjee, T.; Gupta, S.K.S.) |
| Abstract | 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. |
| Starting Page | 549 |
| Ending Page | 554 |
| File Size | 3061109 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424419777 |
| DOI | 10.1109/THS.2008.4534512 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Access control Performance evaluation Crisis management Stochastic Model Intelligent actuators Evaluation Framework Sensor phenomena and characterization Human-centered computing Middleware Intelligent sensors Intelligent agent Technology management Smart-Infrastructure Disaster management Crisis Response Monitoring Criticality |
| Content Type | Text |
| Resource Type | Article |
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