DocumentCode :
611080
Title :
Simfrastructure: A Flexible and Adaptable Middleware Platform for Modeling and Analysis of Socially Coupled Systems
Author :
Bisset, Keith R. ; Deodhar, S. ; Makkapati, H. ; Marathe, Madhav V. ; Stretz, P. ; Barrett, C.L.
Author_Institution :
Network Dynamics & Simulation Sci. Lab., Virginia Tech, Blacksburg, VA, USA
fYear :
2013
fDate :
13-16 May 2013
Firstpage :
506
Lastpage :
513
Abstract :
Socially coupled systems are comprised of interdependent social, organizational, economic, infrastructure and physical networks. Today´s urban regions serve as an excellent example of such systems. People and institutions confront the implications of the increasing scale of information becoming available due to a combination of advances in pervasive computing, data acquisition systems as well as high performance computing. Integrated modeling and decision making environments are necessary to support planning, analysis and counter factual experiments to study these complex systems. Here, we describe SIMFRASTRUCTURE - a flexible coordination middleware that supports high performance computing oriented decision and analytics environments to study socially coupled systems. Simfrastructure provides a multiplexing mechanism by which simple and intuitive user-interfaces can be plugged in as front-end systems, and high-end computing resources can be plugged in as back-end systems for execution. This makes the computational complexity of the simulations completely transparent to the users. The decoupling of user interfaces and data repository from simulation execution allows users to access simulation results asynchronously and enables them to add new datasets and simulation models dynamically. Simfrastructure enables implementation of a simple yet powerful modeling environment with built-in analytics-as-a service platform, which provides seamless access to high end computational resources, through an intuitive interface for studying socially coupled systems. We illustrate the applicability of Simfrastructure in the context of an integrated modeling environment to study public health epidemiology.
Keywords :
computational complexity; data acquisition; decision making; digital simulation; health care; middleware; parallel processing; socio-economic effects; ubiquitous computing; user interfaces; Simfrastructure; adaptable middleware platform; back-end systems; built-in analytics-as-a-service platform; computational complexity; data acquisition systems; data repository; decision making; economic networks; flexible coordination middleware; flexible middleware platform; front-end systems; high end computational resource access; high performance computing; high-end computing resources; infrastructure networks; integrated modeling environments; interdependent networks; intuitive user interfaces; multiplexing mechanism; organizational networks; pervasive computing; physical networks; public health epidemiology; simulation execution; social networks; socially coupled system analysis; socially coupled system modeling; Analytical models; Computational modeling; Computer architecture; Data models; Data transfer; Libraries; Middleware; Socially coupled systems; distributed systems; middleware; public health epidemiology; software architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
Conference_Location :
Delft
Print_ISBN :
978-1-4673-6465-2
Type :
conf
DOI :
10.1109/CCGrid.2013.78
Filename :
6546132
Link To Document :
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