Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

Eleana Asimakopoulou (Loughborough University, UK), Chimay J. Anumba (Pennsylvania State University, USA), Bouchlaghem (Loughborough University, UK) and Bouchlaghem (Loughborough University, UK)
DOI: 10.4018/978-1-60566-364-7.ch013
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Abstract

Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. However, several obstacles arise in the design and implementation of such services. A notable obstacle, namely how clients within a data Grid environment can be kept automatically informed of the latest and relevant changes about data entered/committed in single or multiple autonomous distributed datasets is identified. The view is that keeping interested users informed of relevant changes occurring across their domain of interest will enlarge their decision-making space which in turn will increase the opportunities for a more informed decision to be encountered. With this in mind, the chapter goes on to describe in detail the model architecture and its implementation to keep interested users informed automatically about relevant up-to-date data.
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Introduction

In general, natural phenomena are considered as normal, unavoidable and necessary planetary actions, which may cause disastrous results to the human environment if they occur in extreme forms (Asimakopoulou et al., 2006). In turn, the emergency management discipline has been formed to organize, analyze, plan, make decisions, and finally assign available resources to mitigate, prepare for, respond to, and recover from all effects of disasters (Nalls, 2003; Trim, 2003; Shaw et al., 2003). In managing disasters, it is apparent that a number of teams and individuals from multiple, geographically distributed organizations are required to communicate, co-operate and collaborate in order to take appropriate decisions and actions (Graves, 2004; Otten et al., 2004). ‘The need for information exchange during an emergency situation is present; however it can be very diverse and complex’ (Carle et al., 2004). Carle et al. (2004) also report that ‘there are frequent quotes regarding the lack and inconsistent views of information shared in emergency operations’. There are communities that ‘do not have the resources, personnel and expertise to develop a set of requirements to assist them in managing their activities as they pertain to emergency response’ (Bui & Lee, 1999).

Moreover, recent emergency management approaches are characterized inefficient because of their unstructured poor resource management and centralized nature with fixed hierarchical instructions. Many scholars in the field point out that for the management of emergency response operations, a number of information and communication technologies (ICT) and relevant collaborative computer-based systems have been developed to assist the requirements of many segmented organizations to bring together their intellectual resources and the sharing of accurate information in a timely manner (Graves, 2004; Howard et al., 2002). However, findings as presented by National Research Council (NRS) (2006) suggest that sustained efforts should be made with respect to data and resource archiving, sharing and dissemination. It refers to it as the hazards and disaster research informatics problem that is not unique to this research specialty, but it demands immediate attention and resolution. That is to say there is inefficiency in emergency managers’ ICT infrastructure.

To tackle these limitations the authors proposed a Grid-Aware Emergency Response Model (G-AERM). This demonstrates the applicability of Grid technology to emergency response by supporting stakeholders in monitoring, planning, controlling and managing actions within emergency situations caused by natural disasters in a far more informed way in terms of effectiveness and efficiency. The G-AERM for natural disasters stands as an attempt to support the collaborative and dynamic provision of all available resources and instrumentation towards the accomplishment of emergency response tasks. This has been achieved by making provision for collecting, storing and integrating data from multiple distributed and heterogeneous ICT sources in a seamless and dynamic way. The approach adopted in the G-AERM architecture allows stakeholders to be part of a wider Virtual Organization (VO) to identify and select choices from the far wider range of resources available. Clearly, this may increase the possibilities for decision makers to take and issue more informed decisions of a collaborative nature towards the accomplishment of issued tasks in a far more effective and efficient way.

Finally, the chapter concludes by presenting the implications of a real-world implementation of the G-AERM. They may uncover scenarios of a cross-disciplinary nature that have been previously regarded as intractable because of organizations’ interaction, size and complexity. For example, there will be a requirement for organizations to share their data with others across the technical infrastructure. It may lead to digitization of paper-based data and manual processes in order to enhance the availability of resources via the G-AERM infrastructure. It will lead to the need for user training in order to take advantage of G-AERM’s full potential. Last but not least, the implementation phase may prove a challenging experience for stakeholders and computer scientists because of G-AERM’s complexity and scale.

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Editorial Advisory Board
Table of Contents
Foreword
Mark Baker
Preface
Nik Bessis
Acknowledgment
Nik Bessis
Chapter 1
Enjie Liu, Xia Zhao, Gordon J. Clapworthy
At the heart of the Grid technology is the concept of resource sharing, which includes computers, storage and networks. Grid currently appears to be... Sample PDF
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Chapter 2
Giuseppe Andronico, Roberto Barbera, Marco Fargetta, Emidio Giorgio, Salvatore Marco, Diego Scardaci
Grid computing allows for the creation of e-infrastructures providing computational power and information storage capabilities needed both by... Sample PDF
Sustainable and Interoperable e-Infrastructures for Research and Business
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Chapter 3
Vassilikil Andronikou, Dimosthenis Kyriazis, Magdalini Kardara, Dimitrios Halkos, Theodora Varvarigou
The Grid has the potential to make a significant advance beyond the Internet, by turning it from a passive information medium into an active tool... Sample PDF
Scenarios of Next Generation Grid Applications in Collaborative EnvironmentsA Business-Technical Analysis
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Chapter 4
Gayathri Nadarajan, Areti Manataki, Yun-Heh Chen-Burger
The infrastructure of Grid is approaching maturity and can be used to enable the utilisation and sharing of large scale, remote data storages... Sample PDF
Semantics-Based Process Support for Grid Applications
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Chapter 5
Rogério Luís de Carvalho Costal, Pedro Furtado
The computational grid offers services for efficiently scheduling jobs on the grid, but for grid-enabled applications where data handling is a most... Sample PDF
Placement and Scheduling over Grid Warehouses
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Chapter 6
Navonil Mustafee, Simon J.E. Taylor
The computational grid offers services for efficiently scheduling jobs on the grid, but for grid-enabled applications where data handling is a most... Sample PDF
Leveraging Simulation Practice in Industry through use of Desktop Grid Middleware
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Chapter 7
Genoveffa Jeni Giambona, Nicholas L.J. Silburn, David W. Birchall
This chapter focuses on the collaborative use of computing resources to support decision making in industry. Through the use of middleware for... Sample PDF
Trust, Virtual Teams, and Grid Technology
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Chapter 8
Rob Smith, Rob Wilson
Flexible and remote working is becoming more and more widespread. In particular, virtual team working is growing rapidly. Although virtual teams... Sample PDF
The Socio-Technical Virtual Organisation
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Chapter 9
Marina Burakova-Lorgnier
A Virtual Organisation (VO) or Virtual Enterprise is a loosely-coupled group of collaborating organisations, acting to some extent as though they... Sample PDF
Modelling Trust–Control Dynamics for Grid-based Communities: A Shared Psychological Ownership Perspective
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Chapter 10
Lu Liu, Nick Antonopoulos
The aim of this chapter is to appreciate the need for and propose some thoughts on modelling trust–control dynamics for communities that use grid... Sample PDF
Small World Architecture for Building Effective Virtual Organisations
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Chapter 11
James Dooley, Andrea Zisman, George Spanoudakis
A Virtual Organisation in large-scale distributed systems is a set of individuals and/or institutions with some common purposes or interests that... Sample PDF
Runtime Service Discovery for Grid Applications
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Chapter 12
Nik Bessis
This chapter describes a framework to support runtime service discovery for Grid applications based on service discovery queries in both push and... Sample PDF
Model Architecture for a User Tailored Data Push Service in Data Grids
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Chapter 13
Eleana Asimakopoulou, Chimay J. Anumba, Bouchlaghem, Bouchlaghem
Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the... Sample PDF
Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making
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Chapter 14
Ahmet Sayar, Geoffrey C. Fox, Marlon E. Pierce
Geographic information is critical for building disaster planning, crisis management, and early-warning systems. Decision making in geographic... Sample PDF
Unified Data Access/Query over Integrated Data-views for Decision Making in Geographic Information Systems
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About the Contributors