Publications

Journal & Juried Conference Papers

Lin, W.T., Krintz, C. & Wolski, R. (2018). Tracing function dependencies across clouds. IEEE 11th International Conference on Cloud Computing.
Jayathilaka, H., Krintz, C. & Wolski, R. (2018). Detecting function dependencies across clouds. IEEE Transactions on Cloud Computing, doi:10.1109/TCC.2018.2808289
Pryor, S.C., Shepherd, T.J. & Barthelmie, R.J. (2018). Inter-annual variability of wind climates and wind turbine annual energy production. Wind Energy Science. doi: 10.5194/wes-2018-48
Pryor, S.C., Barthelmie, R.J. & Shepherd, T.J. (2018). The influence of real-world wind turbine deployments on regional climate. Journal of Geophysical Research: Atmospheres 123(11).
Pryor, S.C., Barthelmie, R.J., Hahmann, A., Shepherd, T. & Volker, P. (2018): Downstream effects from contemporary wind turbine deployments. Journal of Physics: Conf. Series 1037.
Golubovic, N., Gill, A., Krintz, C. & Wolski, R. (2018). CENTAURUS: A cloud service for K-means clustering. 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology. doi:10.1109/DASC-PI-Com-DataCom-CyberSciTec.2017.18
Chung, K.H., Lee, A.J. & Rösch, D. (2018). Tick size, liquidity for small and large orders, and price informativeness: evidence from the tick size pilot program. The Review of Financial Studies (under review).
Sharma, A., Mohammed, S.Z.A. & Chandola, V. (2018). A cloud-based geospatial analysis framework for interacting with climate data. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (under review).
Allen, M., Mohammed, S.Z.A., Chandola, V., Morton, A., Brelsford, C.M., McManamay, R.A., Binita, K.C., Sanyal, J., Stewart, R.N. & Bhaduri, B.L. (2018). A survey of analytical methods for energy-water nexus discovery. Big Earth Data Journal (under review).
Mohammed, S.Z.A., Allen, M.R., Chandola, V. & Bhaduri, B.L. (2018). Machine learning for energy-water nexus: challenges and opportunities . Big Earth Data Journal (under review).
Wolski, R., Brevik, J., Chard, R. & Chard, K. (2017). Probabilistic guarantees of execution duration for Amazon spot instances. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis – SC17. doi:10.1145/3126908.3126953
Dimopoulos, S., Krintz, C. & Wolski, R. (2017). PYTHIA: Admission control for multi-framework, deadline-driven, big data workloads. Proceedings of 2017 IEEE 10th International Conference on Cloud Computing – CLOUD, 488-495. doi:10.1109/cloud.2017.69
Wolski, R. & Brevik. J. (2017). QPRED: Using quantile predictions to improve power usage for private clouds. Proceedings of 2017 IEEE 10th International Conference on Cloud Computing – CLOUD, 179-187. doi:10.1109/cloud.2017.31
Elias, A.R., Golubovic, N., Krintz, C. & Wolski, R. (2017). Where’s the Bear? – Automating wildlife image processing using IoT and edge cloud systems. Proceedings of the Second International Conference on Internet-of-Things Design and Implementation – IoTDI, 247-258. doi:10.1145/3054977.3054986
Jayathilaka, H., Krintz, C. & Wolski, R. (2017). Performance monitoring and root cause analysis for cloud-hosted web applications. Proceedings of the 26th International Conference on World Wide Web – WWW 17, 469-478. doi:10.1145/3038912.3052649
Ankrah, N.Y.D., Luan, J. & Douglas, A.E. (2017). Cooperative metabolism in a three-partner insect-bacterial symbiosis revealed by metabolic modeling. Journal of Bacteriology 199 (15), e00872-16. doi:10.1128/jb.00872-16
Brevik, J. & Wolski, R. (2016). Providing statistical reliability guarantees in the AWS spot tier. Proceedings of the 24th High Performance Computing Symposium. doi:10.22360/springsim.2016.hpc.045

Non-Periodical Publications

National Academies of Sciences, Engineering, and Medicine (2018). Opportunities from the Integration of Simulation Science and Data Science: Proceedings of a Workshop. Washington, DC. (T. Furlani: speaker/proceedings reviewer).
Redfern, P., Lifka, D., Brown, D., Ficklin, S., Koedinger, K., Persson, K., Schadler, L. & Song, S. (2017). Final Report: 1st NSF Data Infrastructure Building Blocks PI Workshop. National Science Foundation workshop report, Cornell University, Ithaca, NY.
XMS Team (2016). XDMoD requirements document – job reporting for cloud and other non-traditional HPC resources. University at Buffalo, Buffalo, NY.
XMS Team (2016). Federated XDMoD requirements document. University at Buffalo, Buffalo, NY.
Redfern, P. & Lifka, D. (2016). Cornell’s Red Cloud - A model for the future of research. HPE case study. Cornell University, Ithaca, NY.

Other Publications, Conference Papers & Presentations

Mehringer, S. (2018). Aristotle Lessons Learned. Panelist at the Coalition for Academic Scientific Computation Fall 2018 Meeting, Alexandria, VA.
Chatterjee, S. (2018). New results in radio astronomy: Fast radio bursts and transients. Presentation at the International Astronomical Union (IAU) General Assembly, Vienna.
Chatterjee, S. (2018). The dwarf galaxy host of a repeating fast radio burst. Presentation at the International Astronomical Union (IAU) General Assembly, Vienna.
Dooley, R., Edmonds, A., Handock, D.Y., Lowe, J.M., Skidmore, E., Adams, A.K., Kiser, R., Krenz, M., Welch, V. & Knepper, R. (2018). Security best practices for academic cloud service providers. Presentation at the 2018 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure, Alexandria, VA.
Hendershott, T., Livdan, D. & Rösch, D. (2018). Asset pricing: a tale of night and day. Presentation at the Research in Behavioral Finance Conference, Amsterdam.
Pryor, S.C., Barthelmie, R.J., Hahmann, A., Shepherd, T. & Volker, P. (2018). Contemporary wind turbine deployments have a minor impact on regional climate. Presentation at the Science of Making Torque from Wind, Milan, Italy.
Shepherd, T.J., Volker, P., Barthelmie, R.J., Hahmann, A. & Pryor, S.C. (2018). Sensitivity of wind turbine array downstream effects to the parameterization used in WRF. Presentation at WRF/MPAS User’s Workshop, Boulder, CO.
Lifka, D., Furlani, T. & Wolski, R. (2018). CC*DNI DIBBs: Data Analysis & Management Building Blocks (DIBBs) for multi-campus cyberinfrastructure through cloud federation. Poster presented at 2nd NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Lifka, D., Furlani, T. & Wolski, R. (2018). Challenges: DIBBS for multi-campus cyberinfrastructure through cloud federation. Paper presented at 2nd NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Innus, M. & Bruno, A. (2018). Federated keystone single sign-on with FreeIPA and OpenID Connect. Presentation at OpenStack Summit, Vancouver, BC.
Wolski, R. (2018). Emerging trends in the economics of cloud computing. Presentation at NSF Workshop on Cloud Computing Economics, Palo Alto, CA.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2018). Do current and near-term future wind turbine deployments have a substantial impact on regional climate? Presentation at European Geosciences Union General Assembly 2018, Vienna, Austria.
Song, J., Barker, B., Ankrah, N. & Douglas, A. (2018). Genome-scale metabolic modeling of gut microbiota in the fly gut. NSF REU student poster at American Society for Engineering Education 2018 St. Lawrence Section Meeting, Ithaca, NY.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2018). Assessing the fidelity of the North American wind climate and impacts of wind farms using high resolution modeling. Presentation (recorded) at the 98th American Meteorological Society Annual Meeting (21st Conference on Planned and Inadvertent Weather Modification), Austin, TX.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2018). Improved characterization of the magnitude and causes of spatio-temporal variability in wind resources. Presentation at the 98th American Meteorological Society Annual Meeting (31st Conference on Climate Variability and Change), Austin, TX.
Morton, A., Piburn, J., Stewart, R. & Chandola, V. (2017). Development of a suite of analytical tools for energy and water infrastructure knowledge discovery. Presentation at the American Geophysical Union Fall Meeting, New Orleans, LA.
Sanyal, J., Chandola, V., Sorokine, A., Allen, M.R., Berres, A., Pang, H., Karthik, R., Nugent, P., McManamay, R. & Bhaduri, B.L. (2017). Towards a web-enabled geovisualization and analytics platform for the energy and water nexus. Presentation at the American Geophysical Union Fall Meeting, New Orleans, LA.
Leachman, S. Where’s the Bear? (2018, February). The Current, Santa Barbara, CA.
Pryor, S.C., Barthelmie, R.J., Biondi, T. & Shepherd, T. (2018). Improved characterization of the magnitude and causes of spatio-temporal variability in wind resources. Poster presentation at 98th American Meteorological Society Annual Meeting (31st Conference on Climate Variability and Change), Austin TX.
Morton, A., Piburn, J., Stewart, R. & Chandola, V. (2017). Leveraging advances in population modeling to support energy and water nexus knowledge discovery. Poster at the American Geophysical Union Fall Meeting, New Orleans, LA.
Roesch, D. (2017). Investigating the efficiency of financial stock markets with high-frequency data. Presentation at the 2nd Federal Reserve Bank Economic Research in High Performance Computing Environments Workshop, Kansas City, KS.
Knepper, R. (2017). Cloud day: Current use cases at academic institutions. Panelist at the Coalition for Academic Scientific Computing Fall 2017 Meeting, Westminster, CO.
Douglas, A.E. (2017). The Drosophila model for gut microbiome research. Presentation at the NIH Common Fund: The Human Microbiome: Emerging Themes at the Horizon of the 21st Century, 21, Bethesda, MD.
Pryor, S.C., Barthelmie, R.J. & Shepherd, T. (2017). High-fidelity simulations of the downstream impacts of high density wind turbine deployments. Poster presentation at 4th Workshop on Systems Engineering for Wind Energy, Roskilde, Denmark.
Pryor, S.C. (2017). High resolution WRF simulations for resource assessment and quantification of downstream impacts of high density wind turbine deployments. Presentation at DTU Wind Energy, Roskilde, Denmark.
Lee, S. (2017). Cornell Red Cloud: Campus-based hybrid cloud computing. Presentation at 2017 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure, Arlington, VA.
Wolski, R. (2017). Keynote 2: Cloud computing status and future. Panelist at 10th IEEE International Conference on Cloud Computing, Honolulu, HI.
Douglas, A.E. (2017). Metabolic conversations in insect microbiomes. Keynote lecture at the 14th Symposium on Bacterial Genetics and Ecology, Aberdeen, Scotland.
Ankrah, N.Y.D. (2017). Nutritional roles of beneficial bacteria associated with insects revealed by metabolic modeling. Winning poster at the 2017 Copenhagen Bioscience Conference: Data-Driven Biotechnology – Bench, Bioreactor and Bedside, Copenhagen, Denmark.
Douglas, A.E. (2017). Metabolism and microbiomes: Metabolic models meet experimental data in insect-microbial symbiosis. Presentation at Metabolism and Metabolomics: Disease Models and Model Organisms – 36th Annual Summer Symposium in Molecular Biology at The Pennsylvania State University, State College, PA.
Lifka, D., Furlani, T. & Wolski, R. (2017). Challenges: DIBBs for multi-campus cyberinfrastructure through cloud federation. Paper presented at the 1st NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Lifka, D., Furlani, T. & Wolski, R. (2017). CC*DNI DIBBs: Data Analysis and Management Building Blocks (DIBBs) for multi-campus cyberinfrastructure through cloud federation. Poster presented at 1st NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Furlani, T. (2017). Building a federated cloud model. Panelist at the 1st NSF Data Infrastructure Building Blocks PI Workshop, Arlington, VA.
Tran, D., Khoo, E.R. & Chandola, V. (2016). WebGlobe: Big geospatial analytics on the cloud. Presentation at MITRE Corporation, McLean, VA.

Other Products

Centaurus K-Means Clustering as a Service video (2018) demonstrates the balancing of a scalable clustering analysis workload between two Aristotle clouds.
Aristotle WRF Container video (2018) demonstrates the pulling or caching of Docker images to get the WRF app running quickly.
Where’s the Bear video (2018) highlights how UCSB use case scientists Chandra Krintz and Rich Wolski are identifying wildlife with machine learning and an IoTDI publication details how this automated wildlife image processing uses IoT, edge cloud systems, and the Aristotle cloud.
Assessing the Fidelity of the North American Wind Climate and Impacts of Wind Farms Using High-Resolution Modeling video (2018) features Cornell use case scientist Tristan Shepherd describing to the American Meteorological Society how wind farms impact climate.
Federated Keystone Single Sign-On with FreeIPA and OpenID Connect video features UB Aristotle infrastructure team members Marin Innus and Andrew Bruno describing integrating federated keystone with FreeIPA as the backend identity provider using OpenID Connect as the federation protocol.
Wind Variability Simulation video (2017) shows Sara C. Pryor's use case team simulations used to quantify wind climate in the eastern U.S. in order to analyze the impact of large wind turbines on downstream climate.
Exploiting Animal-Microbe Symbiosis to Produce Pest-Resistant Crops video (2017) features Cornell use case scientist Angela Douglas describing at the World Economic Forum how understanding the gut microbiome may lead to the development of microbial therapies for everything from making honey bees healthier to restoring coral reefs.
Host-Microbe Interactions Affect Metabolism and Nutrition video (2017) interview by Kiel University Professor Thomas Bosch of Aristotle use case scientist Angela Douglas.
WebGlobe Capabilities video (2017) demonstrates webGlobe, a new tool developed by University at Buffalo use case scientist Varun Chandola. Powered by Aristotle, webGlobe provides access to and visualization of remotely available NetCDF geo data.