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2014
T. Beach, Rana, O., Rezgui, Y., and Parashar, M., Governance Model for Cloud Computing in Building Information Management , IEEE Transactions on Service Computing, pp. 314–327, 2014.PDF icon 10. Governance Model for Cloud Computing in Building Informaiton.pdf (735.55 KB)
Q. Liu, Logan, J., Tian, Y., Abbasi, H., Podhorszki, N., Choi, J. Youl, Klasky, S., Tchoua, R., Lofstead, J., Oldfield, R., Parashar, M., Samatova, N., Schwan, K., Shoshani, A., Wolf, M., Wu, K., and Yu, W., Hello ADIOS: The Challenges and Lessons of Developing Leadership Class I/O Frameworks, Concurrency and Computation: Practice and Experience, vol. 26, pp. 1453–1473, 2014.PDF icon 9. Hello ADIOS The Challenges and Lessons.pdf (1.53 MB)
N. Clauvelin, Diaz-Montes, J., Zola, J., Parashar, M., and Olson, W. K., How Do Nucleosomes Bundle into Chromatin?. 2014.
S. Lasluisa, Zhang, F., Jin, T., Rodero, I., Bui, H., and Parashar, M., In-situ Feature-Based Objects Tracking for Data-Intensive Scientific and Enterprise Analytics Workflows, Cluster Computing: The Journal of Networks, Software Tools, and Applications, vol. 18, pp. 29–40, 2014.PDF icon 7. In Situ Feature based Objects.pdf (1.8 MB)
I. Petri, Rana, O., Diaz-Montes, J., Zou, M., Parashar, M., Beach, T., Li, H., and Rezgui, Y., In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud, Proceedings of the International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing (EMSICC'14) & FiCloud 2014, the Second International Conference on Future Internet of Things and Cloud. Barcelona, Spain, 2014.PDF icon 10. In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud.pdf (337 KB)
B. R. Raiff, Karataş, C., McClure, E. A., Pompili, D., and Walls, T. A., Laboratory Validation of Inertial Body Sensors to Detect Cigarette Smoking Arm Movements, Electronics, vol. 3, pp. 87-110, 2014.PDF icon electronics-03-00087.pdf (1.1 MB)
T. Jin, Zhang, F., Sun, Q., Bui, H., Podhorszki, N., Klasky, S., Kolla, H., Chen, J., Hager, R., Chang, C. - S., and Parashar, M., Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data-Intensive Simulation Workflows. 2014.PDF icon 3. POSTER Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows.pdf (174.46 KB)
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)

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