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2016
X. Zhao and Pompili, D., BD-ZCS: Multi-cell Interference Coordination via Zadoff-Chu Sequence-based Block Diagonalization, Proc. of IEEE International Conference on Computer Communications (INFOCOM). IEEE, San Francisco, CA, USA, 2016.
X. Zhao, Sadhu, V., and Pompili, D., Low-Power All-Analog Circuit for Rectangular-Type Analog Joint Source Channel Coding, Proc of IEEE International Symposium on Circuits & Systems (ISCAS). IEEE, Montreal, Canada, 2016.
P. Pandey and Pompili, D., MobiDiC: Exploiting the Untapped Potential of Mobile Distributed Computing via Approximation, Proc. of IEEE International Conference on Pervasive Computing and Communications (PerCom). Sydney, Australia, 2016.
2015
M. Parashar and Hariri, S., Autonomic Computing: Foundations for a New Era in Computing. Kluwer Academic Publishers, 2015.
A. Hajisami and Pompili, D., Cloud-CFFR: Coordinated Fractional Frequency Reuse in Cloud Radio Access Network (C-RAN), Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015. MASS_CFFR_v1_cameraready_primo.pdf (1.17 MB)
J. Diaz-Montes, Abdelbaky, M., Zou, M., and Parashar, M., CometCloud: Enabling Software-Defined Federations for End-to-End Application Workflows, Internet Computing, IEEE, vol. 19, no. 1, pp. 69–73, 2015. 2. CometCloud Enabling Software.pdf (770.23 KB)
M. - P. Hosseini, Nazem-Zadeh, M. R., Pompili, D., Jafari-Khouzani, K., Elisevich, K., and Soltanian-Zadeh, H., Comparative Performance Evaluation of Automated Segmentation Methods of Hippocampus from Magnetic Resonance Images of Temporal Lobe Epilepsy Patients, Medical Physics Journal, 2015.
A. Hajisami and Pompili, D., DJP: Dynamic Joint Processing for Interference Cancellation in Cloud Radio Access Networks, Proc. of Vehicular Technology Conference (VTC). IEEE, Boston, Massachusetts, USA, 2015. VTC'15_DJP_camera_ready2.pdf (2.3 MB)
D. Pompili, Hajisami, A., and Viswanathan, H., Dynamic provisioning and allocation in Cloud Radio Access Networks (C-RANs), Ad Hoc Networks (Elsevier), vol. 30, pp. 128–143, 2015. Ad-Hoc_Journal.pdf (2.3 MB)
A. Hajisami, Tran, T. X., and Pompili, D., Dynamic Provisioning for High Energy Efficiency and Resource Utilization in Cloud RANs, Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015. PID3844545.pdf (283.89 KB)
T. X. Tran and Pompili, D., Dynamic Radio Cooperation for Downlink Cloud-RANs with Computing Resource Sharing, Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015. IEEE_MASS_2015_Harry_CamReady_FinalSubmission.pdf (334.85 KB)
T. Jin, Sun, Q., Bui, H., Romanus, M., Podhorszki, N., Klasy, S., Kolla, H., Chen, J., Hager, R., Chang, C. - S., and Parashar, M., Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows, Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium. Hyderabad, India, 2015.
I. Petri, Zou, M., Zamani, A. Reza, Diaz-Montes, J., Rana, O. F., and Parashar, M., Integrating Software Defined Networks within a Cloud Federation, 15th International Symposium on Cluster, Cloud and Grid Computing (CCCGrid 2015). Shenzhen, China, 2015.
M. Rahmati and Pompili, D., Interference Cancellation in Multiuser Acoustic Underwater Networks Using Probabilistic SDMA, Proc. of IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, Dallas, Texas, USA, 2015. Rahmati2015Interference.pdf (1.06 MB)
I. Petri, Diaz-Montes, J., Zou, M., Beach, T., Rana, O., and Parashar, M., Market Models for Federated Clouds, pp. 1-14, 2015. 1. Market Models for Federated Clouds.pdf (1.42 MB)
N. Clauvelin, Lo, P., Kulaeva, O. I., Nizovtseva, E. V., Diaz-Montes, J., Zola, J., Parashar, M., Studitsky, V. M., and Olson, W. K., Nucleosome Positioning and Composition Modulate in Silico Chromatin Flexibility, Journal of Physics: Condensed Matter, vol. 27, 2015. 3. Nucleosome positioning and composition.pdf (1.58 MB)
M. Rahmati and Pompili, D., uwMIMO-HARQ: Reliable Hybrid ARQ Scheme in Underwater Acoustic MIMO Channels, Proc. of ACM International Conference on Underwater Networks and Systems (WUWNeT). ACM, Washington DC, USA, 2015. Rahmati_uw-MIMOHARQ.pdf (515.45 KB)
2014
C. Docan, Zhang, F., Jin, T., Bui, H., Sun, Q., Cummings, J., Podhorszki, N., Klasky, S., and Parashar, M., ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing, Concurrency and Computation: Practice and Experience, pp. 1-22, 2014. 4. ActiveSpaces Exploring Dynamic Code.pdf (2.01 MB)
I. Petri, Rana, O., Beach, T., Zou, M., Diaz-Montes, J., Parashar, M., and Rezgui, Y., Cloud based Building Data Analytics, Proceedings of the Third International Workshop on Data-intensive Process Management in Large-Scale Sensor Systems (DPMSS) & 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2014). IEEE, Chicago, IL, 2014. 12 Cloud based Building Data Analytics.pdf (445.16 KB)
A. Hajisami, Viswanathan, H., and Pompili, D., “Cocktail Party in the Cloud”: Blind Source Separation for Co-operative Cellular Communication in Cloud RAN, Proc. of International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE, Philadelphia, Pennsylvania, USA, 2014. 2014_MASS_CocktailParty.pdf (705.27 KB)
M. Zou, Diaz-Montes, J., Rodero, I., Parashar, M., Peteri, I., Rana, O., Qi, X., and Foran, D., Collaborative Marketplaces for eSciecne: A Medical Imaging Use Case, Proceedings of the Fourth International Workshop on Cloud Services and Web 2.0 Technologies for Collaboration (CSWC 2014). Minneapolis, Minnesota, 2014. 13. Collaborative Marketplaces for eSciecne A Medical Imaging Use Case.pdf (2.26 MB)
X. Qi, Wang, D., Rodero, I., Diaz-Montes, J., Gensure, R. H., Xing, F., Zhong, H., Goodell, L., Parashar, M., and Foran, D. J., Content-based histopathology image retrieval using CometCloud, BMC bioinformatics, vol. 15, pp. 1-17, 2014. 5. Content Based Hisathology.pdf (3.07 MB)
J. Diaz-Montes, Zou, M., Parashar, M., Singh, R., and Tao, S., Data-driven Workflows in Multi-Cloud Marketplaces, Proceedings of the Seventh IEEE International Conference on Cloud Computing (IEEE CLOUD 2014). IEEE, Anchorage, Alaska, 2014. 11. Data-driven Workflows in Multi-Cloud Marketplaces.pdf (421.46 KB)
K. Keahey and Parashar, M., Enabling on-demand science via cloud computing, IEEE Cloud Computing Magazine, pp. 21–27, 2014. 8. Enabling On Demand Science via Cloud Computing.pdf (233.71 KB)
G. Haldeman, Rodero, I., Parashar, M., Ramos, S., Zhang, E. Z., and Kremer, U., Exploring Energy-Performance-Quality Tradeoffs for Scientific Workflows With In-situ Data Analyses, Proceedings of the Fifth International Conference on Energy-Aware High Performance Computing (EnA-HPC 2014). Dresden, Germany , 2014. 9. Exploring Energy-Performance-Quality Tradeoffs for Scientific Workflows With In-situ Data Analyses.pdf (1.31 MB)

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