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2015
M. Parashar and Hariri, S., Autonomic Computing: Foundations for a New Era in Computing. Kluwer Academic Publishers, 2015.
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.PDF icon 2. CometCloud Enabling Software.pdf (770.23 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.
I. Petri, Diaz-Montes, J., Zou, M., Beach, T., Rana, O., and Parashar, M., Market Models for Federated Clouds, pp. 1-14, 2015.PDF icon 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.PDF icon 3. Nucleosome positioning and composition.pdf (1.58 MB)
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.PDF icon 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.PDF icon 12 Cloud based Building Data Analytics.pdf (445.16 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.PDF icon 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.PDF icon 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.PDF icon 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.PDF icon 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.PDF icon 9. Exploring Energy-Performance-Quality Tradeoffs for Scientific Workflows With In-situ Data Analyses.pdf (1.31 MB)
I. Petri, Beach, T., Zou, M., Diaz-Montes, J., Rana, O., and Parashar, M., Exploring Models and Mechanisms for Exchanging Resources in a Federated Cloud, Proceedings of the Second IEEE Conference on Cloud Engineering (IC2E 2014). IEEE, Boston, MA, 2014.PDF icon 15. Exploring Models and Mechanisms for Exchanging Resources in a Federated Cloud.pdf (421.67 KB)
R. Tolosana-Calasanz, Diaz-Montes, J., Rana, O., and Parashar, M., Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures, Proceedings of the International Conference on Cloud and Autonomic Computing (CAC 2014). IEEE, London, UK, 2014.PDF icon 8. Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures.pdf (909.24 KB)
J. Diaz-Montes, Xie, Y., Rodero, I., Zola, J., Ganapathysubramanian, B., and Parashar, M., Federated Computing for the Masses–Aggregating Resources to Tackle Large-Scale Engineering Problems, Computing in Science & Engineering (CiSE) Magazine, vol. 16, pp. 62–72, 2014.PDF icon 6. Federated Computing for the Masses.pdf (1.6 MB)
J. Diaz-Montes, Rodero, I., Zou, M., and Parashar, M., Federating Advanced Cyberinfrastructures with Autonomic Capabilities, in Cloud Computing for Data-Intensive Applications, Springer, 2014, pp. 201–227.PDF icon 2. Federating Advanced Cyberinfrastrcutres with Autonomic Capabilities.pdf (798.93 KB)
N. Podhorszki, Logan, J., Abbasi, H., Choi, J., Liu, Q., Mu, J., Klasky, S., Parashar, M., and Wolf, M., Flexible I/O Programming API for Big Data Analytics, Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-14) & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. New Orleans, LA, 2014.
M. Fatih-Aktas, Haldeman, G., and Parashar, M., Flexible Scheduling and Control of Bandwidth and In-Transit Services for End-to-End Application Workflows, Proceedings of the Fourth International Workshop on Network-aware Data Management (NDM) & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. Proceedings of the Fourth International Workshop on Network-aware Data Management (NDM) & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis, 2014.PDF icon 7. Flexible Scheduling and Control of Bandwidth and In Transit Services for End to End Application.pdf (177.77 KB)
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)
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)

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