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2010
H. Kim, el-Khamra, Y., Jha, S., and Parashar, M., Exploring Adaptation to Support Dynamic Applications on Hybrid Grids-Clouds Infrastructure, Proceedings of the 1st Workshop on Scientific Cloud Computing (ScienceCloud 2010), co-located with the 19th ACM International Symposium on High Performance Distributed Computing (HPDC 2010). Chicago, Illinois, USA, 2010.
Y. el-Khamra, Kim, H., Jha, S., and Parashar, M., Exploring the Performance Fluctuations of HPC Workloads on Clouds, in Proceedings of the 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010), Indianapolis, IN, USA, 2010.
M. Parashar, Li, X., Parashar, M., Li, X., and Chandra, S., GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 249-263.
M. Parashar and Li, X., HRMS: Hybrid Runtime Management Strategies for Large Scale Parallel Adaptive Applications, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 437-462.
I. Rodero, Chandra, S., Parashar, M., Muralidhar, R., Seshadri, H., and Poole, S., Investigating the Potential of Application-Centric Aggressive Power Management for HPC Workloads, in Proceedings of 17th Annual International Conference on High Performance Computing (HiPC 2010), Goa, India, 2010.
M. Wang and Parashar, M., Object-Oriented Stream Programming using Aspects, Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium. Atlanta, GA, USA, 2010.
F. Zheng, Abbasi, H., Docan, C., Lofstead, J., Klasky, S., Liu, Q., Parashar, M., Podhorszki, N., Schwan, K., and Wolf, M., PreDatA - Preparatory Data Analytics on Peta-Scale Machines, Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium. Atlanta, GA, USA, 2010.
E. K. Lee, Kulkarni, I., Pompili, D., and Parashar, M., Proactive Thermal Management in Green Datacenters, Journal of Supercomputing, Special Issue on Energy-Efficient High-Performance Parallel and Distributed Computing, 2010.PDF icon Supercomputing_2010.pdf (2.19 MB)
M. Parashar and Buyya, R., Proceedings for the 10th IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing. IEEE, Melbourne, Australia, 2010.
M. Parashar and Buyya, R., Proceedings of the 10th IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing . IEEE, Melbourne, Australia, 2010.
F. Cappello, Parashar, M., Muralidhar, R., and Prasanna, V. K., Proceedings of the 17th IEEE International Conference on High Performance Computing , HiPC 2010. IEEE, 2010.
E. Kiciman and Parashar, M., Proceedings of the 7th IEEE International Conference on Autonomic Computing and Communications. ACM Press, Reston, VA , 2010.
N. Jiang and Parashar, M., A Programming System for Sensor-based Scientific Applications, Journal of Computational Science, vol. 1, no. 4, pp. 206-220, 2010.
D. Villegas, Rodero, I., Fong, L., Bobroff, N., Liu, Y., Parashar, M., and S. Sadjadi, M., The Role of Grid Computing Technologies in Cloud Computing, in Handbook of Cloud Computing, Springer, 2010, pp. 183-218.PDF icon The Role of Grid Computing Technologies in Cloud Computing.pdf (716.02 KB)
L. Zhang, Docan, C., and Parashar, M., The Seine Data Coupling Framework for Parallel Scientific Applications, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 283-309.
S. Jha, Parashar, M., Rana, O., Weyns, D., Malek, S., De Lemos, R., and Andersson, J., Self-adaptive architectures for autonomic computational science, in Self-Organizing Architectures, Springer, 2010, pp. 177–197.PDF icon self adaptive architectures.pdf (442.27 KB)
S. Wagh, Towards Autonomic Virtual Machine Management, 2010.
I. Rodero, Jaramillo, J., Quiroz, A., Parashar, M., and Guim, F., Towards Energy-Aware Autonomic Provisioning for Virtualized Environments, 19th ACM International Symposium on High Performance Distributed Computing (HPDC). Chicago, IL, USA, pp. 320-323, 2010.
I. Rodero, Lee, E. K., Pompili, D., Parashar, M., Gamell, M., and Figueiredo, R. J., Towards Energy-Efficient Reactive Thermal Management in Instrumented Datacenters, Proceedings of the Energy Efficient Grids, Clouds and Clusters Workshop (E2GC2 2010), in conjunction with the IEEE Grid 2010 Conference (Grid 2010). Brussels, Belgium, pp. pp. 321-328, 2010.PDF icon E2GC2_2010.pdf (506.63 KB)
2011
K. Elangovan, Rodero, I., Parashar, M., Guim, F., and ., H., Adaptive Memory Power Management Techniques for HPC Workloads, Proceedings of the 18th IEEE International Conference on High Performance Computing (HiPC) 2011. Bangaluru, India, 2011.PDF icon 33. Adaptive Memory Power Management Techniques for HPC Workloads.pdf (559.15 KB)
M. Parashar, Addressing the Petascale Data Challenge using In-Situ Analytics. 2011.PDF icon 10. Addtrdding the petascale data challenge using in-situ analytics.pdf (409.24 KB)
X. Qi, Kim, H., Xing, F., Parashar, M., Foran, D., and Yang, L., The analysis of image texture feature robustness using CometCloud, in Proceedings of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, 2011.
S. Hegde, Autonomic Cloudbursting for MapReduce framework using a Deadline based Scheduler, Rutgers, The State University of New Jersey, New Brunswick, 2011.
S. A. Coe, Principato, E., Rizwan, O., and Ye, K., Autonomic Data Center Thermal Management, NJ Governor's School of Engineering and Technology 2011. Piscataway, NJ, USA, 2011.
H. Kim, el-Khamra, Y., Rodero, I., Jha, S., and Parashar, M., Autonomic Management of Application Workflow on Hybrid Computing Infrastructure, Scientific Programming Journal, vol. 19. pp. 75-89, 2011.

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