A Survivability-Centered Research Agenda for Cloud Computing Supported Emergency Response and Management Systems
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Authors
Ma, Zhanshan (Sam)
Neilson, Ronald P.
Yang, Liexun
Hess, Andrew
Millar, Richard C.
Subjects
Cloud Computing
Emergency Response and Management
Reliability
Survivability
Three-Layer Survivability Analysis
Extended Evolutionary Game Theory
Dynamic Hybrid Fault Models
Evolutionary Computing
Emergency Response and Management
Reliability
Survivability
Three-Layer Survivability Analysis
Extended Evolutionary Game Theory
Dynamic Hybrid Fault Models
Evolutionary Computing
Advisors
Date of Issue
2014
Date
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Abstract
Cloud computing is evolved from grid computing
with a key support from the rapidly expanding virtualization
technology. We argue that clouding computing is particularly
suitable for supporting emergency response and management
(ERM) because of some of its unique features such as rapid
setup and deployment on ad hoc basis, highly flexible
platforms (PaaS: Platform as a Service) and application
services (SaaS: Software as a Service) with little time-space
constraints. ERM is one of the seven critical national
infrastructures and services mandated to protect by the 1999
US President's Executive Order (PCCIP). The paradigm of
survivability and survivable network systems was a response of
academia to the president's executive order. We concur that
survivability should be the lifeline of any ERM, including the
cloud computing supported (CCS) ERM systems. In this
article, we present a research agenda that is aimed at
developing a survivability-centered architecture for evolving
reliable and survivable CCS-ERM systems. The research
agenda suggests that biological and computational evolutions
should be rich sources of biological inspirations as well as
powerful optimization algorithm for designing (evolving) the
ERM systems. The proposed research agenda advocates the
application of three-layer survivability analysis, dynamic
hybrid fault models, and extended evolutionary game theory
modeling developed by Ma & Krings IMa & Krings (2008a-e,
2011), Ma et al. (2009a), Ma (2008, 2009, 2010, 20lla,b). We
use banking system survivability as an example to illustrate the
proposed research agenda.
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Article
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Systems Engineering
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.