Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

2009 ◽  
pp. 256-275 ◽  
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Data Grid ◽  
Informed Decision ◽  
Data Sources ◽  
Grid Technology ◽  
Distributed Data ◽  
Grid Environment ◽  
Design And Implementation ◽  
Response Decision

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.

The Study on Fire Spreading Based on Mobile Agent and Grid Technology

2014 ◽  
Vol 971-973 ◽  
pp. 1834-1837
Author(s):  
Yuan Jiang Huang ◽  
Jie Huang
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Mobile Agent ◽  
Grid Technology ◽  
Grid Environment ◽  
Decision Making Problem ◽  
Grid Nodes ◽  
Fire Spreading ◽  
Reasoning Mechanism ◽  
Resource Decision

In order to build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem of Fire spreading. a new model was given based on mobile Agent Open Decision Support System in grid environment. Making use of the intelligence of MAS and adaptive capacity, based on the reasoning mechanisms for task decomposition and resource decision-making grid matching, described in detail layer program CBR-based reasoning mechanism of the Agent and its operation flow and interactive mechanism, put the complexity of distribution of decision-making problem solving to the grid nodes on the environment, implementation of parallel asynchronous decision-making problem solving. Optimize distribution through the logistics of the problem MABODSS design, it proved to improve the system's intelligence and operational efficiency.

The Study on Voltage Control Based on MAS and Grid Technology

2014 ◽  
Vol 599-601 ◽  
pp. 747-750
Author(s):  
Xun Yu He ◽  
Zhuan Ma
Keyword(s):  
Decision Making ◽  
Voltage Control ◽  
Grid Technology ◽  
Routine Method ◽  
Control Effect ◽  
Intelligent Algorithm ◽  
Grid Environment ◽  
Secondary Voltage ◽  
Simulation Results ◽  
Resource Decision

In order to build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem of voltage control. a new model was given based on MAS in grid environment. Making use of the intelligence of MAS and adaptive capacity, based on the reasoning mechanisms for task decomposition and resource decision-making grid matching, a new intelligent algorithm based on MAS in order to improve its control effect, and the paper uses the kind of algorithm to coordinated secondary voltage control. The simulation results show the voltage control based on the algorithm have better global best properties and coordinate voltage effectively than routine method.

Parallel Simulation Decision-Making Method for a Response to Unconventional Public Health Emergencies Based on the Scenario–Response Paradigm and Discrete Event System Theory

2019 ◽  
Vol 13 (5-6) ◽  
pp. 1017-1027
Author(s):  
Tian Xie ◽  
Mengna Ni ◽  
Zhaoyun Zhang ◽  
Yaoyao Wei
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Emergency Response ◽  
Discrete Event ◽  
Parallel Simulation ◽  
Discrete Event System ◽  
Effective Response ◽  
Public Health Emergencies ◽  
Event System ◽  
Response Decision

ABSTRACTGiven the non-repeatability, complexity, and unpredictability of unconventional public health emergencies, building accurate models and making effective response decisions based only on traditional prediction–response decision-making methods are difficult. To solve this problem, under the scenario–response paradigm and theories on parallel emergency management and discrete event system (DES), the parallel simulation decision-making framework (PSDF), which includes the methods of abstract modeling, simulation operation, decision-making optimization, and parallel control, is proposed for unconventional public health emergency response processes. Furthermore, with the example of the severe acute respiratory syndrome (SARS) response process, the evolutionary scenarios that include infected patients and diagnostic processes are transformed into simulation processes. Then, the validity and operability of the DES–PSDF method proposed in this paper are verified by the results of a simulation experiment. The results demonstrated that, in the case of insufficient prior knowledge, effective parallel simulation models can be constructed and improved dynamically by multi-stage parallel controlling. Public health system bottlenecks and relevant effective response solutions can also be obtained by iterative simulation and optimizing decisions. To meet the urgent requirements of emergency response, the DES–PSDF method introduces a new response decision-making concept for unconventional public health emergencies.

A Mathematical Analysis of a Disaster Management Data-Grid Push Service

2010 ◽  
Vol 1 (3) ◽  
pp. 56-70 ◽  
Author(s):  
Nik Bessis ◽  
Antony Brown ◽  
Eleana Asimakopoulou
Keyword(s):  
Disaster Management ◽  
Mathematical Analysis ◽  
Ad Hoc ◽  
Service Providers ◽  
Well Being ◽  
Data Grid ◽  
Distributed Data ◽  
Service Architecture ◽  
Critical Data ◽  
Design And Implementation

Much work is under way within the Grid technology community on issues associated with the development of services fostering the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. These developments involve fluid and dynamic, ad hoc based interactions between dispersed service providers and consumers. However, several obstacles arise in the design and implementation of such services. In this article, the authors examine a notable obstacle, namely how to keep service consumers informed of relevant changes about data committed in multiple and distributed service provider levels, and most importantly, when these changes can affect others’ well-being. To achieve this, the authors use aggregated case scenarios to demonstrate the need for a data-Grid push service in a disaster management situation. In this regard, the article describes in detail the service architecture, as well as its mathematical analysis for keeping interested stakeholders informed automatically about relevant and critical data changes.

A Mathematical Analysis of a Disaster Management Data-Grid Push Service

2012 ◽  
pp. 268-282
Author(s):  
Nik Bessis ◽  
Antony Brown ◽  
Eleana Asimakopoulou
Keyword(s):  
Disaster Management ◽  
Mathematical Analysis ◽  
Ad Hoc ◽  
Service Providers ◽  
Well Being ◽  
Data Grid ◽  
Distributed Data ◽  
Service Architecture ◽  
Critical Data ◽  
Design And Implementation

Much work is under way within the Grid technology community on issues associated with the development of services fostering the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. These developments involve fluid and dynamic, ad hoc based interactions between dispersed service providers and consumers. However, several obstacles arise in the design and implementation of such services. In this article, the authors examine a notable obstacle, namely how to keep service consumers informed of relevant changes about data committed in multiple and distributed service provider levels, and most importantly, when these changes can affect others’ well-being. To achieve this, the authors use aggregated case scenarios to demonstrate the need for a data-Grid push service in a disaster management situation. In this regard, the article describes in detail the service architecture, as well as its mathematical analysis for keeping interested stakeholders informed automatically about relevant and critical data changes.

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