Publications

2017

• AbdelBaky, M., Zou, M., Zamani, A.R., Renart, E., Diaz-Montes, J., and Parashar, M., 2017. Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-driven Applications. To appear in the 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), Atlanta, GA, USA.
• J. Diaz-Montes, M. AbdelBaky, M. Zou, and M. Parashar, 2015. CometCloud: Enabling Software- Defined Federations for End-to-End Application Workflows. IEEE Internet Computing, 19(1), pp.69-73. IEEE.
• M. AbdelBaky, J. Diaz-Montes, and M. Parashar, 2017, “Software-Defined Environments for Science & Engineering”. The International Journal of High Performance Computing Applications, 1094342017710706.
• Eduard Renart, Javier Diaz-Montes, Manish Parashar, “Data-driven Stream Processing at the Edge,” IEEE International Conference on Fog and Edge Computing (ICFEC’2017), Madrid, Spain, May 2017.
• Moustafa AbdelBaky, Javier Diaz-Montes, and Manish Parashar, ‘Towards Distributed Software-Defined Environments,” ACM/IEEE CCGrid 2017, Madrid, Spain, May 2017
• Moustafa AbdelBaky, Javier Diaz-Montes, Merve Unuvar, Melissa Romanus, Malgorzata Steinder, and Manish Parashar, ‘Enabling Distributed Software-Defined Environments Using Dynamic Infrastructure Service Composition,” ACM/IEEE CCGrid 2017, Madrid, Spain, May 2017
• Luiz F. Bittencourt, Javier Diaz-Montes, Rajkumar Buyya, Omer F. Rana, and Manish Parashar, “Mobility-aware Application Scheduling in Fog Computing,” IEEE Cloud Computing, 2017.
• Ali Reza Zamani, Mengsong Zou, Javier Diaz-Montes, Ioan Petri, Omer Rana, Ashiq Anjum, and Manish Parashar, “Deadline Constrained Video Analysis via In-Transit Computational Environments,” IEEE Transactions on Services Computing, 2017.

2016

• Mengsong Zou, Javier Diaz-Montes, Kiran Nagaraja, Nimish Radia, Manish Parashar, “Towards Self-Management of Distributed Data-Driven Workflows (D3W)”, 7th IEEE International Conference on Cloud Computing (IEEE CLOUD), San Francisco, CA, June 2016. (Acceptance Ratio ~15%).
• Jianwu Wang, Moustafa AbdelBaky, Javier Diaz-Montes, Shweta Purawat, Manish Parashar and Ilkay Altintas, “Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources.” 3rd Workshop on Advances in the Kepler Scientific Workflow System and Its Applications. In conjunction with the International Conference on Computational Science (ICCS 2016), San Diego, CA, USA, June 2016.
• Mengsong Zou, Ali R. Zamani, Javier Diaz-Montes, Ioan Petri, Omer F. Rana, and Manish Parashar, “Leveraging In-transit Computational Capabilities in Federated Ecosystems,” IEEE International Symposium On Service-Oriented System Engineering (SOSE), Oxford, UK, March 2016. (Best Student Paper Award)
• Rafael Tolosana-Calasanz, Javier Diaz-Montes, Omer F. Rana, Manish Parashar, Erotokritos Xydas, Charalampos Marmaras, Panagiotis Papadopoulos, and Liana Cipcigan “Computational Resource Management for Data-Driven Applications with Deadline Constraints,” Concurrency Computation: Practice and Experience, 2016.
• Rafael Tolosana-Calasanz, Javier Diaz-Montes, Omer F. Rana, and Manish Parashar, “Feedback-Control & Queueing Theory-based Resource Management for Streaming Applications,” IEEE Transactions on Parallel and Distributed Systems, 2016.
• I. Petri, J. Diaz-Montes, M. Zou, A. Reza Zamani, T.H. Beach, O.F. Rana, M. Parashar, and Y. Rezgui, “Distributed Multi-Cloud Based Building Data Analytics,” Developing Interoperable and Federated Cloud Architecture, Editors: G. Kecskemeti, A. Kertes, and Z. Nemeth, IGI Global, 2016.

2015

• Moustafa AbdelBaky, Merve Unuvar, Javier Diaz-Montes, Malgorzata Steinder, and Manish Parashar. “Docker Containers Across Multiple Clouds and Data Centers.” Short Paper. 8th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2015), St. Raphael Resort, Limassol, Cyprus, December 2015. (Winner of the 2015 Cloud Challenge Award – Category 2)
• I. Petri, J. Diaz-Montes, O. Rana, Y. Rezgui, M. Parashar, and L. F. Bittencourt, “Coordinating Data Analysis & Management in Multi-Layered Clouds.” EAI International Conference on Cloud, Networking for IoT Systems. Rome, Italy, October 2015.
• Javier Diaz-Montes, Manuel Diaz-Granados, Mengsong Zou, Shu Tao, and Manish Parashar, “Supporting Data-intensive Workflows in Software-defined Federated Multi-Clouds,” IEEE Transactions in Cloud Computing, 2015.
• M. Diaz-Granados, J. Diaz-Montes, and M. Parashar, “Investigating Insurance Fraud using Social Media,” IEEE BigData, Santa Clara, CA, 2015 – Accepted.
• M. AbdelBaky, M. Zou, A.R. Zamani, J. Diaz-Montes, and M. Parashar, “Realizing the Potential of IoT Using Software-Defined Ecosystems,” IEEE CLOUD, New York, NY, 2015 (Invited)
• M. Abdelbaky, J. Diaz-Montes, M. Zou, and M. Parashar, “A Framework for Realizing Software-Defined Federations for Scientific Workflows,” International Workshop on Software-Defined Ecosystems (BigSystem). Co-located with ACM HPDC 2015, Portland, Oregon, 2015.
• I. Petri, M. Zou, A.R. Zamani, J. Diaz-Montes, O. F. Rana and M. Parashar, “Integrating software defined networks within a cloud federation,” CCGrid 2015, Shenzhen, Guangdong, China, May 2015.
• I. Petri, J. Diaz-Montes, O. Rana, M. Punceva, I. Rodero, and M. Parashar, “Modelling and Implementing Community Clouds,” IEEE Transactions on Services Computing, 2015.
• I. Petri, J. Diaz-Montes, M. Zou, T. Beach, O. Rana, M. Parashar, “Market models for federated clouds,” IEEE Transactions on Cloud Computing, Vol. 3, Issue 3, pp. 398-410, 2015.
• Javier Diaz-Montes, Moustafa AbdelBaky, Mengsong Zou, and Manish Parashar. “CometCloud: Enabling Software-Defined Federations for End-to-End Application Workflows.” IEEE Internet Computing 19, no. 1 (2015): 69-73.
• N. Clauvelin, P. Lo, O. I. Kulaeva, E. V. Nizovtseva, J. Diaz-Montes, J. Zola, M. Parashar, V. M. Studitsky, and W. K. Olson. “Nucleosome positioning and composition modulate in silico chromatin flexibility.” Journal of Physics: Condensed Matter 27, no. 6 (2015): 064112.

2014

• Moustafa AbdelBaky, Javier Diaz-Montes, Michael Johnston, Vipin Sachdeva, Richard L. Anderson, Kirk E. Jordan, Manish Parashar, “Exploring HPC-based Scientific Software as a Service using CometCloud.” 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2014, Miami, FL, USA, November 2014
• J. Diaz-Montes, I. Rodero, M. Zou, M. Parashar, “Federating advanced CyberInfrastructures with Autonomic Capabilities,” in Cloud Computing for Data Intensive Applications, Springer New York, pp. 201-227, 2014
• X. Qi, D. Wang, I. Rodero, J. Diaz-Montes, R.H. Gensure, F. Xing, H. Zhong, L.A. Goodell, M. Parashar, D.J. Foran, L. Yang, “Content-based histopathology image retrieval using CometCloud,” BMC Bioinformatics, Vol. 15, Issue 287, 2014
• J. Diaz-Montes, Y. Xie, I. Rodero, J. Zola, Ganapathysubramanian, M. Parashar, “Federated Computing for the Masses – Aggregating Resources to Tackle Large-scale Engineering Problems“, IEEE Computing in Science and Engineering (CiSE) Magazine, August 2014.
• R. Tolosana-Calasanz, J. Diaz-Montes, O. Rana, and M. Parashar, “Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures,” IEEE Cloud and Autonomic Computing Conference (CAC 2014), London, UK, September 2014.
• J. Diaz-Montes, M. Zou, R. Singh, S. Tao, and M. Parashar, “Data-driven Workflows in Multi-Cloud Marketplaces,” IEEE Cloud 2014, Anchorage, Alaska, June 2104.
• J. Diaz-Montes, M. Abdelbaky, M. Zou, and M. Parashar, “Software-Defined Federated Cyber-Infrastructure for Science and Engineering,” International Workshop on Software-Defined Ecosystems (BigSystem). Co-located with ACM HPDC 2014, Vancouver, Canada, June 2014. (Position Paper)
• I. Petri, O. Rana, J. Diaz-Montes, M. Zou, M. Parashar, T. Beach, Y. Rezqui, and H. Li, “In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud,” The International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing. Co-located with International Conference on Future Internet of Things and Cloud (FiCloud 2014), Barcelona, Spain, August 2014.
• I. Petri, O. Rana, Y. Rezgui, H. Li,T. Beach, M. Zou, J. Diaz-Montes, and M. Parashar, “Cloud Supported Building Data Analytics,” 3rd International Workshop on Data-intensive Process Management in Large-Scale Sensor Systems (DPMSS): From Sensor Networks to Sensor Clouds. Co-located with CCGrid 2014, Chicago, Illinois, May 2014
• M. Zou, J. Diaz-Montes, I. Rodero, M. Parashar, I. Petri, O. Rana, X. Qi, D. J. Foran, “Collaborative Marketplaces for eScience: A Medical Imaging Use Case,” The Fourth International Workshop On Cloud Services And Web 2.0 Technologies For Collaboration (CSWC 2014), May 2014.
• I. Petri, T. Beach, M. Zou, J. Diaz-Montes, O. Rana and M. Parashar, “Exploring Models and Mechanisms for Exchanging Resources in a Federated Cloud” IEEE international conference on cloud engineering (IC2E), 2014

2013

• J. Diaz-Montes, Y. Xie, I. Rodero, J. Zola, B. Ganapathysubramanian, and M. Parashar, “Exploring the Use of Elastic Resource Federations for Enabling Large-scale Scientific Workflows“, In Proc. of Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS). Co-located with Supercomputing/SC 2013, 2013. (Best Paper Award Finalist)
• M. Parashar, M. AbdelBaky, I. Rodero, & A. Devarakonda, “Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering“. Computing in Science & Engineering, 15(4), 10-18.
• Hrishikesh Gadre, Ivan Rodero, Javier Diaz-Montes, and Manish Parashar, A case for MapReduce over the internet, In Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference, p. 8. ACM, 2013.
• Magdalena Punceva, Ivan Rodero, Manish Parashar, Omer Rana, and Ioan Petri, Incentivising resource sharing in social clouds, Concurrency and Computation: Practice and Experience (2013).
• J. Diaz-Montes, B. Ganapathysubramanian, M. Parashar, I. Rodero, Y. Xie, J. Zola, “Federated Computing for the Masses – Aggregating Resources to Tackle Large-scale Engineering Problems“, RDI2 Technical Report: TR-RDI2-20130515-0 May 15, 2013.
• T.H. Beach, O.F. Rana, Y. Rezgui, M. Parashar, “Cloud computing for the architecture, engineering & construction sector: requirements, prototype & experience,” Journal of Cloud Computing, 2(8), 2013.
• Xin Qi, Daihou Wang, Javier Diaz-Montes, Ivan Rodero, Tony Pan, Abulimit Aji, Lee Cooper, Fuyong Xing, Manish Parashar, David J. Foran, Lin Yang, “Exploring Online Nuclear Segmentation on Large Fluorescence Brain Tumor Images using CometCloud.” High Performance Computing in Biomedical Image Analysis Associated with MICCAI 2013, Nagoya, Japan, p13-22
• Beach, Thomas H., Omer F. Rana, and Nicholas J. Avis. “Integrating acceleration devices using CometCloud.” In Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds, pp. 17-24. ACM, 2013.

2012

• M. Parashar, M. AbdelBaky, I. Rodero, and A. Devarakonda, “Cloud Paradigm and Practices for CDS&E.” Cloud and Autonomic Computing Center Research Report, 2012
• M. AbdelBaky, H. Kim, I. Rodero, M. Parashar, “Accelerating MapReduce Analytics Using CometCloud“, 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), 447-454
• Moustafa AbdelBaky, Manish Parashar, Kirk Jordan, Hyunjoo Kim, Hani Jamjoom, Zon-Yin Shae, Gergina Pencheva, Vipin Sachdeva, James Sexton, Mary Wheeler, “Enabling High Performance Computing as a Service,” Computer, 27 Aug. 2012. IEEE computer Society Digital Library. IEEE Computer Society, Viswanathan, Hariharasudhan, Eun Kyung Lee, Ivan Rodero, and Dario Pompili, An autonomic resource provisioning framework for mobile computing grids, In Proceedings of the 9th international conference on Autonomic computing, pp. 79-84. ACM, 2012.
• Xin Qi, Hyunjoo Kim, Fuyong Xing, Manish Parashar, David J. Foran, Lin Yang, “The analysis of image feature robustness using CometCloud“, Journal of Pathology Informatics, 3, 2012

2011

• Xin Qi, Hyunjoo Kim, Fuyong Xing, Manish Parashar, David J. Foran, Lin Yang, “The analysis of image texture feature robustness using CometCloud“, High Performance Computing (HP) workshop associated with Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, 2011
• Lin Yang, Hyunjoo Kim, Manish Parashar and David Foran, “High throughput landmark based image registration using Cloud computing“, High Performance Computing (HP) workshop associated with Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, 2011
• Hyunjoo Kim, Yaakoub el-Khamra, Shantenu Jha, Ivan Rodero and Manish Parashar, Autonomic Management of Application Workflow on Hybrid Computing Infrastructure, Scientific Programming Journal, accepted, Jan. 2011.
• Hyunjoo Kim and Manish Parashar, CometCloud: An autonomic cloud engine, Cloud Computing: Principles and Paradigms, Wiley, Chapter 10, pp. 275-297, Apr. 2011.

2010

• Hyunjoo Kim, Yaakoub el-Khamra, Shantenu Jha and Manish Parashar, Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering, Cloud Computing: Methodology, System, and Applications, accepted, Oct. 2010.
• Yaakoub el-Khamra, Hyunjoo Kim, Shantenu Jha, and Manish Parashar, Exploring the Performance Fluctuations of HPC Workloads on Clouds, 2nd IEEE international conference on cloud computing technology and science (CloudCom), Indianapolis, Nov. 30-Dec.3, 2010.
• Hyunjoo Kim, Yaakoub el-Khamra, Shantenu Jha, and Manish Parashar, Exploring Adaptation to Support Dynamic Applications on Hybrid Grids-Clouds Infrastructure, 1st Workshop on Scientific Cloud Computing, in conjuction with the ACM International Symposium on High Performance Distributed Computing (HPDC), Chicago, Illinois, June 20-25, 2010.

2009

• Hyunjoo Kim, Yaakoub el-Khamra, Shantenu Jha, and Manish Parashar, An Autonomic Approach to Integrated HPC Grid and Cloud Usage, the 5th IEEE International Conference on e-Science , Oxford, UK, Dec. 2009.
• Hyunjoo Kim, Manish Parashar, David J. Foran and Lin Yang, Investigating the use of cloudbursts for high-throughput medical image registration, the 10 th IEEE/ACM International Conference on Grid Computing (GRID2009) , Banff, Canada, Oct. 2009. (Acceptance 24%)
• Hyunjoo Kim, Moustafa Abdelbaky, and Manish Parashar, CometPortal: A Portal for Online Risk Analytics Using CometCloud, the 17th International Conference on Computer Theory and Applications (ICCTA2009), Alexandria, Egypt, Oct. 2009.
• Hyunjoo Kim, Shivangi Chaudhari, Manish Parashar, and Christopher Marty, Online risk analytics on the cloud, International Workshop on Cloud Computing , in conjunction with the 9 th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2009), pp. 484-489, Shanghai, China, May 2009.
• A. Quiroz, H. Kim, M. Parashar, N. Gnanasambandam and N. Sharma, Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds, Proceedings of the 10 th IEEE/ACM International Conference on Grid Computing (Grid 2009), pp. 50-57, Banff, Alberta, Canada, October 2009.

Earlier

• N. Jiang, A. Quiroz, C. Schmidt, M. Parashar, Meteor: a middleware infrastructure for content-based decoupled interactions in pervasive grid environments, Concurrency Computat.: Pract. Exper. 2008; 20:1455–1484
• Z. Li and M. Parashar, A computational infrastructure for grid-based asynchronous parallel applications, in HPDC ’07: Proceedings of the 16th international symposium on High performance distributed computing. New York, NY, USA: ACM, 2007, pp. 229–230.
• Z. Li and M. Parashar, A decentralized computational infrastructure for grid based parallel asynchronous iterative applications, Journal of Grid Computing, vol. 4, no. 4, December 2006.
• Z. Li and M. Parashar, A decentralized agent framework for dynamic composition and coordination for autonomic applications, IEEE Sixteenth International Workshop on Database and Expert Systems Applications, 2005
• Z. Li and M. Parashar, Comet: A scalable coordination space for decentralized distributed environments, In Proceedings of Second International Workshop on Hot Topics in Peer-to-Peer Systems, San Diego, CA, USA, 2005.

Posters

• Petri, Ioan, Tom Beach, Mengsong Zou, Javier Diaz-Montes, Omer Rana, and Manish Parashar, A federated CometCloud infrastructure to support resource sharing, In Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on, pp. 313-314. IEEE, 2013.
• J. Diaz-Montes, B. Ganapathysubramanian, M. Parashar, I. Rodero, Y. Xie, J. Zola, “Federated Computing for the Masses – Aggregating Resources to Tackle Large-scale Engineering Problems“, SuperComputing/SC13, Denver, CO, 2013.
• J. Diaz-Montes, M. Zou, I. Rodero, M. Parashar, “Enabling Autonomic Computing on Federated Advanced CyberInfrastructures“, ACM Cloud and Autonomic Computing Conference (CAC 2013), Miami, FL, August 2013. (Best Poster Award)
• M. AbdelBaky, K. E. Jordan, M. Parashar and V. Sachdeva, “Cloudy with a Chance of Supercomputing: A Framework for Enabling Supercomputing Resources as HPC Clouds”, Early Adopters PhD Workshop 2010, SC10 International Conference for High Performance Computing, Networking, Storage and Analysis, in New Orleans, Louisiana, USA, November, 2010.

Demos

• Aditya Devarakonda, Moustafa AbdelBaky, Brian L. Claus, Ivan Rodero, Marinela Haldeman, and Manish Parashar, “Accelerating Asynchronous Replica Exchange on Large Scale Distributed Heterogeneous HPC Resources,” the 5th IEEE International Scalable Computing Challenge (SCALE) 2012 in conjunction with the 12th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), Ottawa, Canada, May 13-16, 2012
• Moustafa AbdelBaky, Hyunjoo Kim, Manish Parashar, Kirk Jordan, Hani Jamjoom, Vipin Sachdeva, Zon-Yin Shae, James Sexton, Gergina Pencheva, Reza Tavakoli, and Mary F. Wheeler, “A Scalable Ensemble-based Oil-Reservoir Simulations using Blue Gene/P-as-a-Service,” the 4th IEEE International Scalable Computing Challenge (SCALE) 2011 in conjunction with the 11th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), Newport Beach, USA, May 23-26, 2011. Awarded as the 1st place
  ACS ITO Client Symposium, Orlando, USA, Oct. 11-13, 2010.

Additional Links

1. Federated Computing for the Masses – Understanding Fluid Flow
2. Autonomic Cloud Bursts on Amazon EC2