TY - GEN
T1 - An integrated grid portal for managing energy resources
AU - Chakraborty, Promita
AU - Allen, Gabrielle
AU - Lei, Zhou
AU - Lewis, John
AU - Lewis, Adam
AU - Ian, Chang Yen
AU - Jangjaimon, Itthichok
AU - Tzeng, Nian Feng
PY - 2007
Y1 - 2007
N2 - The discovery and management of energy resources, especially at locations in the Gulf of Mexico, requires an economic but technically enhanced infrastructure. Research teams from Louisiana State University, University of Louisiana at Lafayette, and Southern University Baton Rouge are engaged in a collaborative effort to create a Ubiquitous Computing and Monitoring System (UCoMS) for the discovery and management of energy resources. The UCoMS team has sucessfully addressed two difficult issues in this research: (1) the computational challenges faced by compute-intensive simulations for reservoir uncertainty analysis that requires thousands of simulations and deals with terabytes, and even petabytes, of data, (2) the development of a prototype wireless sensor network (WSN) infrastructure to collect and process realtime data from production locations. While the former requires the intensive computational power of the UCoMS grid resources, the latter requires efficient interfacing between WSN & grid. A unified workflow analysis has been performed to ensure smooth operation of both efforts and a unified portal has been created. This paper integrates the above two workflows and portals into a single platform. It illustrates the need for such integration for users with similar (but not same) goals and describes how to partition users among different groups with different access rights to ensure security within subgroups. Such a system can easily integrate future UCoMS sub-projects into a unified whole. Hence, our portal prototype serves as a good example of the benefit that may accrue from integrated workflows.
AB - The discovery and management of energy resources, especially at locations in the Gulf of Mexico, requires an economic but technically enhanced infrastructure. Research teams from Louisiana State University, University of Louisiana at Lafayette, and Southern University Baton Rouge are engaged in a collaborative effort to create a Ubiquitous Computing and Monitoring System (UCoMS) for the discovery and management of energy resources. The UCoMS team has sucessfully addressed two difficult issues in this research: (1) the computational challenges faced by compute-intensive simulations for reservoir uncertainty analysis that requires thousands of simulations and deals with terabytes, and even petabytes, of data, (2) the development of a prototype wireless sensor network (WSN) infrastructure to collect and process realtime data from production locations. While the former requires the intensive computational power of the UCoMS grid resources, the latter requires efficient interfacing between WSN & grid. A unified workflow analysis has been performed to ensure smooth operation of both efforts and a unified portal has been created. This paper integrates the above two workflows and portals into a single platform. It illustrates the need for such integration for users with similar (but not same) goals and describes how to partition users among different groups with different access rights to ensure security within subgroups. Such a system can easily integrate future UCoMS sub-projects into a unified whole. Hence, our portal prototype serves as a good example of the benefit that may accrue from integrated workflows.
UR - http://www.scopus.com/inward/record.url?scp=44949084408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=44949084408&partnerID=8YFLogxK
U2 - 10.1109/E-SCIENCE.2007.11
DO - 10.1109/E-SCIENCE.2007.11
M3 - Conference contribution
AN - SCOPUS:44949084408
SN - 0769530648
SN - 9780769530642
T3 - Proceedings - e-Science 2007, 3rd IEEE International Conference on e-Science and Grid Computing
SP - 25
EP - 32
BT - Proceedings - e-Science 2007, 3rd IEEE International Conference on e-Science and Grid Computing
T2 - E-Science 2007, 3rd IEEE International Conference on E-Science and Grid Computing
Y2 - 10 December 2007 through 13 December 2007
ER -