TY - GEN
T1 - CINET
T2 - 2012 IEEE 8th International Conference on E-Science, e-Science 2012
AU - Abdelhamid, Sherif Elmeligy
AU - Alo, Richard
AU - Arifuzzaman, S. M.
AU - Beckman, Pete
AU - Bhuiyan, Md Hasanuzzaman
AU - Bisset, Keith
AU - Fox, Edward A.
AU - Fox, Geoffrey C.
AU - Hall, Kevin
AU - Hasan, S. M.Shamimul
AU - Joshi, Anurodh
AU - Khan, Maleq
AU - Kuhlman, Chris J.
AU - Lee, Spencer
AU - Leidig, Jonathan P.
AU - Makkapati, Hemanth
AU - Marathe, Madhav V.
AU - Mortveit, Henning S.
AU - Qiu, Judy
AU - Ravi, S. S.
AU - Shams, Zalia
AU - Sirisaengtaksin, Ongard
AU - Subbiah, Rajesh
AU - Swarup, Samarth
AU - Trebon, Nick
AU - Vullikanti, Anil
AU - Zhao, Zhao
PY - 2012
Y1 - 2012
N2 - Networks are an effective abstraction for representing real systems. Consequently, network science is increasingly used in academia and industry to solve problems in many fields. Computations that determine structure properties and dynamical behaviors of networks are useful because they give insights into the characteristics of real systems.We introduce a newly built and deployed cyberinfrastructure for network science (CINET) that performs such computations, with the following features: (i) it offers realistic networks from the literature and various random and deterministic network generators; (ii) it provides many algorithmic modules and measures to study and characterize networks; (iii) it is designed for efficient execution of complex algorithms on distributed high performance computers so that they scale to large networks; and (iv) it is hosted with web interfaces so that those without direct access to high performance computing resources and those who are not computing experts can still reap the system benefits. It is a combination of application design and cyberinfrastructure that makes these features possible. To our knowledge, these capabilities collectively make CINET novel. We describe the system and illustrative use cases, with a focus on the CINET user.
AB - Networks are an effective abstraction for representing real systems. Consequently, network science is increasingly used in academia and industry to solve problems in many fields. Computations that determine structure properties and dynamical behaviors of networks are useful because they give insights into the characteristics of real systems.We introduce a newly built and deployed cyberinfrastructure for network science (CINET) that performs such computations, with the following features: (i) it offers realistic networks from the literature and various random and deterministic network generators; (ii) it provides many algorithmic modules and measures to study and characterize networks; (iii) it is designed for efficient execution of complex algorithms on distributed high performance computers so that they scale to large networks; and (iv) it is hosted with web interfaces so that those without direct access to high performance computing resources and those who are not computing experts can still reap the system benefits. It is a combination of application design and cyberinfrastructure that makes these features possible. To our knowledge, these capabilities collectively make CINET novel. We describe the system and illustrative use cases, with a focus on the CINET user.
UR - http://www.scopus.com/inward/record.url?scp=84873683900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873683900&partnerID=8YFLogxK
U2 - 10.1109/eScience.2012.6404422
DO - 10.1109/eScience.2012.6404422
M3 - Conference contribution
AN - SCOPUS:84873683900
SN - 9781467344678
T3 - 2012 IEEE 8th International Conference on E-Science, e-Science 2012
BT - 2012 IEEE 8th International Conference on E-Science, e-Science 2012
Y2 - 8 October 2012 through 12 October 2012
ER -