TY - GEN
T1 - An adaptive cyberinfrastructure for threat management in urban water distribution systems
AU - Mahinthakumar, Kumar
AU - Von Laszewski, Gregor
AU - Ranjithan, Ranji
AU - Brill, Downey
AU - Uber, Jim
AU - Harrison, Ken
AU - Sreepathi, Sarat
AU - Zechman, Emily
PY - 2006
Y1 - 2006
N2 - Threat management in drinking water distribution systems involves real-time characterization of any contaminant source and plume, design of control strategies, and design of incremental data sampling schedules. This requires dynamic integration of time-varying measurements along with analytical modules that include simulation models, adaptive sampling procedures, and optimization methods. These modules are compute-intensive, requiring multi-level parallel processing via computer clusters. Since real-time responses are critical, the computational needs must also be adaptively matched with available resources. This requires a software system to facilitate this integration via a high-performance computing architecture such that the measurement system, the analytical modules and the computing resources can mutually adapt and steer each other. This paper describes the development of such an adaptive cyberin-frastructure system facilitated by a dynamic workflow design.
AB - Threat management in drinking water distribution systems involves real-time characterization of any contaminant source and plume, design of control strategies, and design of incremental data sampling schedules. This requires dynamic integration of time-varying measurements along with analytical modules that include simulation models, adaptive sampling procedures, and optimization methods. These modules are compute-intensive, requiring multi-level parallel processing via computer clusters. Since real-time responses are critical, the computational needs must also be adaptively matched with available resources. This requires a software system to facilitate this integration via a high-performance computing architecture such that the measurement system, the analytical modules and the computing resources can mutually adapt and steer each other. This paper describes the development of such an adaptive cyberin-frastructure system facilitated by a dynamic workflow design.
UR - http://www.scopus.com/inward/record.url?scp=33746644742&partnerID=8YFLogxK
U2 - 10.1007/11758532_54
DO - 10.1007/11758532_54
M3 - Conference contribution
AN - SCOPUS:33746644742
SN - 3540343830
SN - 9783540343837
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 401
EP - 408
BT - Computational Science - ICCS 2006
PB - Springer Verlag
T2 - ICCS 2006: 6th International Conference on Computational Science
Y2 - 28 May 2006 through 31 May 2006
ER -
