More up-to-date publication information is available in my Google Scholar profile.

Theses

  1. K. Chard, DRIVE: A Distributed Economic Meta-Scheduler for the Federation of Grid and Cloud Systems. Ph.D. Thesis, Victoria University of Wellington, 2011
  2. K. Chard, Efficient Dynamic Resource Description. BSc. Honours Thesis, Victoria University of Wellington, 2004

Journals and Magazines

  1. K. Chard, S. Caton, K. Bubendorfer, and O. Rana, "Social clouds: A retrospective," IEEE Cloud Computing, vol. PP, 2015.
  2. K. Chard, S. Tuecke, and I. Foster, "Efficient and secure transfer, synchronization, and sharing of big data," IEEE Cloud Computing, vol. 1, no. 3, pp. 46--55, 2014.
  3. K. Chard, M. Lidman, B. McCollam, J. Bryan, R. Ananthakrishnan,S. Tuecke, and I. Foster, "Globus Nexus: A platform-as-a-service provider of research identity, profile, and group management," Future Generation Computer Systems, vol. PP, 2015.
  4. R. Chard, R. Madduri, N. Karonis, K. Chard, K. Duffin, C. Ordonez, T. Uram, J. Fleischauer, I. Foster, M. Papka, and J. Winans, "Scalable pCT image reconstruction delivered as a cloud service," IEEE Transactions on Cloud Computing, vol. PP, 2015.
  5. A. Toga, I. Foster, C. Kesselman, R. Madduri, K. Chard, E. Deutsch, N. Price, G. Glusman, B. Heavner, I. Dinov, J. Ames, J. Van Horn, R. Kramer, and L. Hood, "Big biomedical data as the key resource for discovery science," Journal of the American Medical Informatics Association, vol. 22, no. 6, pp. 1126--1131, 2015.
  6. R. Madduri, K. Chard, R. Chard, L. Lacinski, A. Rodriguez, D. Sulakhe, D. Kelly, U. Dave, and I. Foster, "The Globus Galaxies platform: delivering science gateways as a service," Concurrency and Computation: Practice and Experience, vol. 27, no. 16, pp. 4344--4360, 2015.
  7. R. Ananthakrishnan, K. Chard, I. Foster, and S. Tuecke, "Globus platform-as-a-service for collaborative science applications," Concurrency and Computation: Practice and Experience, vol. 27, no. 2, pp. 290--305, 2015.
  8. R. Madduri, D. Sulakhe, L. Lacinski, B. Liu, A. Rodriguez, K. Chard, U. Dave, and I. Foster, "Experiences building Globus Genomics: A next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services," Concurrency and Computation: Practice and Experience, vol. 26, no. 13, pp. 2266--2279, 2014.
  9. B. Liu, R. Madduri, B. Sotomayor, K. Chard, L. Lacinski, U. Dave, J. Li, C. Liu, and I. Foster, "Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses," Journal of Biomedical Informatics, vol. 49, pp. 119--133, 2014.
  10. S. Caton, C. Haas, K. Chard, K. Bubendorfer, and O. Rana, "A social compute cloud: Allocating and sharing infrastructure resources via social networks," IEEE Transactions on Services Computing, vol. 7, no. 3, pp. 359--372, 2014.
  11. K. Bubendorfer, K. Chard, K. John, and A. Thaufeeg, "eScience in the social cloud," Future Generation Computer Systems, vol. 29, no. 8, pp. 2143--2156, 2013.
  12. K. Chard and K. Bubendorfer, "High performance resource allocation strategies for computational economies," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 1, pp. 72--84, 2013.
  13. K. Chard, K. Bubendorfer, S. Caton, and O. Rana, "Social cloud computing: A vision for socially motivated resource sharing," IEEE Transactions on Services Computing, vol. 5, no. 4, pp. 551--563, 2012.

Book Chapters

  1. K. Chard and S. Caton, "Social clouds: Crowdsourcing cloud infrastructure," in Software Crowdsourcing, ser. Progress in IS, W. Li, M. Huhns, W.-T. Tsai, and W. Wu, Eds. Springer Berlin Heidelberg, 2015, pp. 191--217.
  2. I. Foster, R. Ananthakrishnan, B. Blaiszik, K. Chard, R. Osborn, S. Tuecke, M. Wilde, and J. Wozniak, "Networking materials data: Accelerating discovery at experimental facilities," in Volume 26: Big Data and High Performance Computing, ser. Advances in Parallel Computing, L. Grandinetti, G. Joubert, M. Kunze, and V. Pascucci, Eds. IOS Pres, 2015, pp. 117--132.
  3. K. Chard and K. Bubendorfer, "Using secure auctions to build a distributed metascheduler for the grid," in Market-Oriented Grid and Utility Computing, R. Buyya and K. Bubendorfer, Eds. John Wiley & Sons, Inc., 2009, pp. 569--588.

Peer-reviewed Conferences

  1. V. Arabnejad, K. Bubendorfer, B. Ng, and K. Chard, "A deadline constrained critical path heuristic for cost-effectively scheduling workflows," Accepted to the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015.
  2. J. Wozniak, K. Chard, B. Blaiszik, R. Osborn, M. Wile, and I. Foster, "Big data remote access interfaces for light source science," Accepted to the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015.
  3. K. Chard, J. Pruyne, B. Blaiszik, R. Ananthakrishnan, S. Tuecke, and I. Foster, "Globus data publication as a service: Lowering barriers to reproducible science," in Proceedings of the 11th IEEE International Conference on e-Science (e-Science), 2015, pp. 401--410.
  4. R. Chard, K. Chard, K. Bubendorfer, L. Lacinski, R. Madduri, and I. Foster, "Cost-aware cloud provisioning," in Proceedings of the 11th IEEE International Conference on e-Science (e-Science), 2015, pp. 136--144.
  5. R. Chard, K. Chard, K. Bubendorfer, L. Lacinski, R. Madduri, and I. Foster, "Cost-aware elastic cloud provisioning for scientific workloads," in Proceedings of the 8th IEEE International Conference on Cloud Computing (CLOUD), 2015, pp. 971--74.
  6. A. Simonet, K. Chard, G. Fedak, and I. Foster, "Using active data to provide smart data surveillance to e-science users," in Proceedings of the 23rd Euromicro International Conference on Parallel, Distributed and Network Based Processing (PDP), 2015, pp. 269--273.
  7. K. Kugler, S. Caton, K. Chard, and D. Katz, "On replica placement in a Social CDN for e-science," in Proceedings of the 10th IEEE International Conference on e-Science (e-Science), 2014, pp. 13--20.
  8. K. Chard, M. Lidman, J. Bryan, T. Howe, B. McCollam, R. Ananthakrishnan, S. Tuecke, and I. Foster, "Globus Nexus: Research identity, profile, and group management as a service," in Proceedings of the 10th IEEE International Conference on e-Science (e-Science), 2014, pp. 31--38.
  9. K. Kugler, S. Caton, K. Chard, O. Rana, and D. Katz, "Constructing a social content delivery network for escience," in Proceedings of the 9th IEEE International Conference on e-Science (e-Science), 2013, pp. 350--356.
  10. C. Haas, S. Caton, K. Chard, and C. Weinhardt, "Co-operative infrastructures: An economic model for providing infrastructures for social cloud computing," in Proceedings of the 46th Hawaii International Conference on System Sciences (HICSS), 2013, pp. 729--738.
  11. K. John, K. Bubendorfer, and K. Chard, "A social cloud for public eresearch," in Proceedings of the 7th IEEE International Conference on e-Science (e-Science), 2011, pp. 363--370.
  12. A. Thaufeeg, K. Bubendorfer, and K. Chard, "Collaborative eresearch in a social cloud," in Proceedings of the 7th IEEE International Conference on e-Science (e-Science), 2011, pp. 224--231.
  13. K. Chard, M. Russell, Y. Lussier, E. Mendonca, and J. Silverstein, "A cloud-based approach to medical NLP," in Proceedings of the AMIA Annual Symposium, 2011, pp. 207--216.
  14. K. Chard, M. Russell, Y. Lussier, E. Mendonca, and J. Silverstein, "Scalability and cost of a cloud-based approach to medical NLP," in Proceedings of the 24th International Symposium on Computer-Based Medical Systems (CBMS), 2011, pp. 1--6.
  15. K. Chard, S. Caton, O. Rana, and K. Bubendorfer, "Social cloud: Cloud computing in social networks," in Proceedings of the 3rd IEEE International Conference on Cloud Computing (CLOUD), 2010, pp. 99--106.
  16. K. Chard, K. Bubendorfer, and P. Komisarczuk, "High occupancy resource allocation for grid and cloud systems, a study with DRIVE," in Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC), 2010, pp. 73--84.
  17. K. Chard, W. Tan, J. Boverhof, R. Madduri, and I. Foster, "Wrap scientific applications as WSRF grid services using gRAVI," in Proceedings of the 7th IEEE International Conference on Web Services (ICWS), 2009, pp. 83--90.
  18. W. Tan, K. Chard, D. Sulakhe, R. Madduri, I. Foster, S. Soiland-Reyes, and C. Goble, "Scientific workflows as services in caGrid: A Taverna and gRAVI approach," in Proceedings of the 7th IEEE International Conference on Web Services (ICWS), 2009, pp. 413--420.
  19. K. Chard and K. Bubendorfer, "A distributed economic meta-scheduler for the grid," in Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2008, pp. 542--547.
  20. K. Bubendorfer, P. Komisarczuk, K. Chard, and A. Desai, "Fine grained resource reservation and management in grid economies," in Proceedings of the International Conference on Grid Computing and Applications (GCA), 2005, pp. 31--38.
  21. K. Bubendorfer, P. Komisarczuk, and K. Chard, "Efficient dynamic resource specifications," in Proceedings of the 6th International Conference on Mobile Data Management (MDM), 2005, pp. 281--285.
  22. P. Komisarczuk, K. Bubendorfer, and K. Chard, "Enabling virtual organisation in mobile worlds," in Proceedings of the 5th IEE International Conference on 3G Mobile Communication Technologies, 2004, pp. 123--127.

Peer-reviewed Workshops and Posters

  1. U. Qasim, C. Humphrey, J. Huck, L. Trimble, A. Garnett, D. O'Neil, S. Cavanaugh, J. Knabl, J. Hlady, R. Ananthakrishnan, K. Chard, and J. Pruyne, "Assessing the scale of challenges for preserving research data," Accepted to the 12th IEEE International Conference on Digital Preservation (iPres), 2015.
  2. R. Tchoua, K. Chard, J. de Pablo, I. Foster, J. Qin, and M. Rasic, "ChiDB: An automated framework for extracting materials properties from literature," in the 4th Greater Chicago Area Systems Research Workshop (GCASR), 2015.
  3. K. Chard, R. Madduri, X. Jiang, F. Dahi, M. Vannier, and I. Foster, "A cloud-based image analysis gateway for traumatic brain injury research," in Proceedings of the 9th Gateway Computing Environments Workshop (GCE), 2014, pp. 13--16.
  4. T. Malik, K. Chard, and I. Foster, "Benchmarking cloud-based tagging services," in Proceedings of the 30th IEEE International Conference on Data Engineering Workshops (ICDEW), 2014, pp. 231--238.
  5. R. Ananthakrishnan, J. Bryan, K. Chard, I. Foster, T. Howe, M. Lidman, and S. Tuecke, "Globus Nexus: An identity, profile, and group management platform for science gateways and other collaborative science applications," in Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER), 2013, pp. 1--3.
  6. B. Liu, B. Sotomayor, R. Madduri, K. Chard, and I. Foster, "Deploying bioinformatics workflows on clouds with Galaxy and Globus Provision," in Proceedings of the SC Companion on High Performance Computing, Networking, Storage and Analysis (SCC), 2012, pp. 1087--1095.
  7. K. Chard, S. Caton, O. Rana, and D. Katz, "A social content delivery network for scientific cooperation: Vision, design, and architecture," in Proceedings of the SC Companion on High Performance Computing, Networking, Storage and Analysis (SCC), 2012, pp. 1058--1067.
  8. R. Chard, K. Bubendorfer, and K. Chard, "Experiences in the design and implementation of a social cloud for volunteer computing," in Proceedings of the 8th IEEE International Conference on E-Science (e-Science), 2012, pp. 1--8.
  9. X. Wang, L. Liu, K. Chard, J. Fackenthal, and O. Olopade, "Traw: a workflow approach to transform data into information," in Summit on Clinical Research Informatics, AMIA Joint Summits on Translational Science, 2012.
  10. K. Chard, C. Onyuksel, W. Tan, D. Sulakhe, R. Madduri, and I. Foster, "Build grid enabled scientific workflows using gRAVI and Taverna," in Proceedings of the 4th IEEE International Conference on e-Science (e-Science), 2008, pp. 614--619.

Other Workshops and White Papers

  1. J. Wozniak, K. Chard, B. Blaiszik, M. Wilde, and I. Foster, "Streaming, storing, and sharing big data for light source science," in Workshop on Streaming and Steering Applications: Requirements and Infrastructure (STREAM), 2015.
  2. I. Foster, T. Bicer, R. Kettimuthu, M. Wilde, J. Wozniak, B. Blaiszik, K. Chard, F. de Carlo, and R. Osborn, "Accelerating the experimental feedback loop: Data streams at the APS," in Workshop on Streaming and Steering Applications: Requirements and Infrastructure (STREAM), 2015.
  3. B. Blaiszik, K. Chard, R. Ananthakrishnan, J. Pruyne, J.M. Wozniak, M. Wilde, R. Osborn, S. Tuecke, and I. Foster, "Globus data publication services and their application at the Advanced Photon Source," APS Users Meeting, 2015.
  4. I. Foster, T. Bicer, R. Kettimuthu, M. Wilde, J. Wozniak, B. Blaiszik, K. Chard, F. de Carlo, and R. Osborn, "Workflows at experimental facilities: Use cases from the Advanced Photon Source," in Workshop on the Future of Scientific Workflows, 2015.
  5. I. Foster, R. Ananthakrishnan, B. Blaiszik, K. Chard, R. Osborn, S. Tuecke, M. Wilde, and J. Wozniak, "Networking materials data: Accelerating discovery at an experimental facility," Workshop on High Performance Computing, Grids and Clouds, 2014.
  6. T. Malik, K. Chard, R. Tchoua, and I. Foster, "Geodataspaces: Simplifying data management tasks with globus," in American Geophysical Union Fall Meeting, 2014.

Presentations

  1. "Building and Using NDS Share: An Implementation with Globus," National Data Service Consortium Workshop 4, San Diego, USA, October 2015.
  2. "Cost Effective and Deadline Constrained Scientific Workflow Scheduling for Commercial Clouds," IEEE International Symposium on Network Computing and Applications (NCA), Boston, USA, September 2105.
  3. Panel: "Theory vs. practice in eScience: gaps and gaping holes," Workshop on E-science ReseaRch leading tO negative Results, Munich, Germany, November 2015.
  4. "Globus Data Publication as a Service: Lowering Barriers to Reproducible Science," 11th IEEE International Conference on e-Science (e-Science), Munich, Germany, November 2015.
  5. "Cost-Aware Resource Provisioning for Cloud-based Scientific Workflows," 11th IEEE International Conference on e-Science (e-Science), Munich, Germany, November 2015.
  6. "A Reproducible Framework Powered By Globus," GlobusWorld, Chicago, USA, April 2015.
  7. "Taming Big Data: Accelerating Discovery via Outsourcing and Automation," eResearch NZ, Queenstown, New Zealand, March 2015.
  8. "Enhanced Campus Bridging via a Campus Data Service Using Globus and the Science DMZ," eResearch NZ, Queenstown, New Zealand, March 2015.
  9. "Cloud-based Image Analysis Gateway for Traumatic Brain Injury Research," Gateway Computing Environments Workshop, New Orleans, November 2014.
  10. "Globus Nexus: Research identity, profile,and group management as a service," 10th IEEE International Conference on e-Science (e-Science), Sao Paulo, Brazil, September 2014.
  11. "Supporting Scientific (meta)data Management with Globus," Computation Institute Seminar, Chicago, August 2014.
  12. "Simplifying Scientific Data Management through SaaS," EarthCube all hands meeting, Washington, June 2014.
  13. "Delivering a Campus Research Data Publishing Service with Globus," DASPOS meeting, Chicago, May 2014.
  14. "Collaboration on Large Datasets using Globus," Digital Science -- Information, Interaction, and Influence, Chicago, May 2014.
  15. "Analyzing and Improving Collaborative eScience with Social Networks Introduction," 9th IEEE International Conference on e-Science (e-Science), Beijing, China, October 2013.
  16. "Globus Nexus: An identity, profile, and group management platform for collaborative science applications," Science Gateway Institute Workshop, Indianapolis, USA, September 2013.
  17. "Crowdsourcing Cloud Infrastructure using Social Networks," Dagstuhl Seminar, Dagstuhl, Germany, September 2013.
  18. "DTI Image Processing Pipeline and Cloud Computing Environment," Workshop on Diffusion MRI in Traumatic Brain Injury: Software Tools and International Shared Data Repository, Heidelberg, Germany, June 2013.
  19. "Managing Datasets in Globus Online, GlobusWorld, Chicago, USA, March 2013.
  20. "A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture," International Workshop on Data Intensive Computing in the Clouds (DataCloud), Salt Lake City, USA, November 2012.
  21. "Co-operative economic Meta Scheduling," Illinois Institute of Technology Seminar, Chicago, USA, September 2011.
  22. "Towards Co-operative economic Meta Scheduling in Grid and Cloud systems." Computation Institute Data Seminar, Chicago, USA, June 2011.
  23. "Social Networking for Cluster, Cloud and Grid Computing," Workshop on the application of Social Networking concepts to Cluster, Cloud, Grid and Services Computing (SN4CCGridS), Los Angeles, USA, June 2011.
  24. "Medical NLP in the Cloud," iDash Workshop -- Designing an Ecosystem for Clinical NLP, San Diego, USA, May 2011.
  25. "Distributed, Co-operative Meta Scheduling," Distributed Systems Laboratory Seminar, Cardiff University. Cardiff, UK, September 2010.
  26. "Scientific workflows as services in caGrid: a Taverna and gRAVI approach," 7th International Conference on Web Services (ICWS), Los Angeles, USA, July 2009.
  27. "Secure Distributed Economic Meta-scheduling for the Grid," CLOUDS Lab Seminar, University of Melbourne. Melbourne, Australia, March 2008.
  28. "A Distributed Economic Meta-scheduler for the Grid," 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), Lyon, France, May 2008.