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2014
A. Pelaez, Quiroz, A., Chuah, E., Browne, J. C., and Parashar, M., Online Failure Prediction for HPC Resources Using Decentralized Clustering, Proceedings of the 21st Annual IEEE International Conference on High Performance Computing (HiPC 2014). IEEE, Goa, India, 2014.
A. Pelaez, Parashar, M., Browne, J. C., Quiroz, A., and Chuah, E., Online Monitoring of HPC resources using decentralize clustering . 2014.PDF icon 4. Online monitoring of HPC resources using decentralized clustering.pdf (46.17 KB)
V. K. Potluru, Diaz-Montes, J., Hanagandi, V., Zola, J., and Parashar, M., Preliminary Study of Longitudinal EMR data for Diabetes Forecasting. 2014.PDF icon 2. A Preliminary Study of Longitudnal EMR data for Diabetes Forecasting.pdf (304.58 KB)
Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium , IPDPS 2014. IEEE , 2014.
M. Parashar, Bellur, U., Kumar, S. D. Madhu, P, C., Krishnan, M., Madduri, K., Prasad, S. K., Sekhar, C. C., Narendra, N. C., Valera, C., Chaudhary, S., Arya, K., and Li, K., Proceedings of the 7th International Conference on Contemporary Computing , IC3 2014. IEEE , 2014.
B. Chen and Pompili, D., A QoS-aware Underwater Optimization Framework for Inter-vehicle Communication using Acoustic Directional Transducers, to appear in IEEE Transactions on Wireless Communications, 2014.PDF icon TW-Jul-13-1203.pdf (1.41 MB)
P. Pandey, Hajimirsadeghi, M., and Pompili, D., Region of Feasibility of Interference Alignment in Underwater Sensor Networks, IEEE Journal of Oceanic Engineering, vol. 39, no. 1, pp. 189 - 202, 2014.PDF icon IA_IEEEJOE_2014.pdf (2.31 MB)
B. Chen and Pompili, D., Reliable Geocasting for Random-access Underwater Acoustic Sensor Networks, Ad Hoc Networks (Elsevier), vol. 21, pp. 134-146, 2014.PDF icon 1-s2.0-S1570870514001917-main.pdf (1.51 MB)
Q. Sun, Jin, T., Zhang, F., Bui, H., Wu, K., Shoshani, A., Kolla, H., Klasky, S., Chen, J., and Parashar, M., Scalable Run-time Data Indexing and Querying for Scientific Simulations, Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. 2014.
M. Rahmati, Pandey, P., and Pompili, D., Separation and Classification of Underwater Acoustic Sources, Proc. of IEEE Underwater Communications Networks (UComms). IEEE, NATO Centre, Sestri Levante (La Spezia), Italy, 2014.PDF icon 2014_UComms-Noise.pdf (614.63 KB)
M. Parashar, Bellur, U., Kumar, S. D. Madhu, Chandran, P., Krishnan, M., Madduri, K., Prasad, S. K., C. Sekhar, C., Narendra, N. C., Valera, C., Chaudhary, S., Arya, K., and Li, X., Seventh International Conference on Contemporary Computing, IC3 2014. IEEE , Noida, India, 2014.
M. - P. Hosseini, -Zadeh, N., Mohammad, R., Pompili, D., and Soltanian-Zadeh, H., Statistical Validation of Automatic Methods for Hippocampus Segmentation in MR Images of Epileptic Patients, Proc. of IEEE International Conference on Engineering in Medicine and Biology Society (EMBC). IEEE, 2014.PDF icon nihms705928.pdf (229.33 KB)
D. Katz, Allen, G., Hong, N. Chue, Parashar, M., and Proctor, D., Working towards Sustainable Scientific Software: Practice and Experiences (WSSSPE), Proceedings of the International Symposium on Grids and Clouds (ISGC 2014). Taipei, Taiwan, 2014.
2013
J. Diaz-Montes, Zou, M., Rodero, I., and Parashar, M., Autonomic Computing on Federated Advanced Cyberinfrastructures. 2013.PDF icon 8. Autonomic Computing on Federated Advanced Syberinfrastructures.pdf (283.83 KB)
H. Gadre, Rodero, I., Diaz-Montes, J., and Parashar, M., A Case for MapReduce over the Internet, Proceedings of ACM International Conference on Cloud and Autonomic Computing (CAC 2013). ACM Press, Miami, FL, 2013.PDF icon 22. A Case for MapReduce over the Internet.pdf (261.86 KB)
T. H. Beach, Rana, O. F., Rezgui, Y., and Parashar, M., Cloud Computing for the Architecture, Engineering & Construction Sector: Requirements, Prototype & Experience, Journal of Cloud Computing: Advances, Systems and Applications, vol. 2, no. 8, pp. 1–16, 2013.PDF icon 13. Cloud Computing for the Architecture, Engineering & Construction Sector.pdf (4.59 MB)
H. Viswanathan, Lee, E. K., and Pompili, D., Enabling Real-time In-Situ Processing of Ubiquitous Mobile-Application Workflows, Proc. of IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS). Hangzhou, China, 2013.PDF icon 2013_MASS_MobWorkflows.pdf (537.95 KB)
Exploring Energy and Performance Behaviors of Data-Intensive Scientific Workflows on Systems with Deep Memory Hierarchies, Proceedings of 20th Annual International Conference on High Performance Computing (HiPC 2013). IEEE, Hyderabad, India, 2013.PDF icon 16. Exploring Energy and Performance Behaviors of Data-Intensive Scientific Workflows on Systems with Deep Memory Hierarchies.pdf (1.33 MB)
X. Qi, Wang, D., Diaz-Montes, J., Rodero, I., Pan, T., Aji, A., Cooper, L., Xing, F., Parashar, M., Foran, D. J., and Yang, L., Exploring Online Nuclear Segmentation on Large Fluorescence Brain Tumor Images using CometCloud, Proceedings of the Sixth International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI). Nagoya, Japan, 2013.PDF icon 20. Exploring Online Nuclear Segmentation on Large Fluorescence Brain Tumor Images using CometCloud.pdf (357.36 KB)
M. Gamell, Rodero, I., Parashar, M., Bennett, J. C., Kolla, H., Chen, J., Bremer, P. - T., Landge, A., Gyulassy, A., Pascucci, V., McCormick, P., Pakin, S., and Klasky, S., Exploring Power Behaviors and Tradeoffs of In-situ Data Analytics, Proceedings of SC’13, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. AC/IEEE, Denver, CO, 2013.PDF icon 17. Exploring Power Behaviors and Tradeoffs of In-situ Data Analytics.pdf (618.73 KB)
Exploring the Use of Elastic Resource Federations for Enabling Large-Scale Scientific Workflows, Proceedings of the Sixth Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) & SC’13, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. ACM/IEEE, Denver, CO, 2013.PDF icon 19. Exploring the Use of Elastic Resource Federations for Enabling Large scale Scientific Workflows.pdf (437.88 KB)
J. Diaz-Montes, Ganapathysubramanian, B., Parashar, M., Rodero, I., Xie, Y., and Zola, J., Federated Computing for the Masses- Tackling Large-scale Engineering Problems, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. IEEE, Denver, CO, pp. 62-72, 2013.PDF icon 7. Federated Computing for the Masses Tackling Large scale Engineering Problems.pdf (1.6 MB)
D. Wang, Qi, X., Parashar, M., Foran, D. J., and Yang, L., High-throughput Content Based Image Retrieval Using GPGPU, Proceedings of the Sixth International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI). Nagoya, Japan, 2013.
M. Punceva, Rodero, I., Parashar, M., Rana, O., Petri, I., and , Incentivising resource sharing in social clouds, Concurrency and Computation: Practice and Experience, vol. 27, pp. 1483–1497, 2013.PDF icon 14. Incentivizing Resource Sharing in Social Clouds.pdf (259.76 KB)
E. K. Lee, Viswanathan, H., and Pompili, D., Learning-based Framework for Policy-aware Cognitive Radio Emergency Networking, Proc. of IEEE Global Telecommunications Conference (GLOBECOM). Proc. of IEEE Global Telecommunications Conference (GLOBECOM), Atlanta, GA, 2013.

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