Hybrid Cloud & AI

Technological innovations in hybrid cloud and artificial intelligence aim to expand the potential of edge computing and cloud security capabilities across public and private clouds. As the high-performance computing needs of global society ramp up, the ability to access curated data and processing power from multiple distributed data centers and workloads will be paramount.

With an emphasis on data protection and isolation, IBM and Illinois teams will collaborate to explore how open-source innovation and artificial intelligence can drive the next era of cloud computing, and define the essential workforce skills necessary for running increasingly powerful and critical workloads.

Research Projects

Topic Illinois Faculty IBM Technical Leads
Data Understanding Knowledge Discovery and Applications Chengxiang Zhai, Kevin Chang, Jiawei Han Anbang Xu, Yu Deng, Nicholas Fuller, Yunyao Li, Lucian Popa, Larisa Shwartz
Modern AI Techniques Like RL for Automated System Optimization and Prediction Radhika Mittal, Brighten Godfrey Laura Schwartz, Srinivasan Parthasarathy, Anbang Xu
Cross Layer AI-driven Resiliency and Security  Gang Wang, Ravi Iyer, Zbigniew Kalbarczyk Fatih Bulut, Daby Sow, Larisa Schwartz, Christian Pinto, Abdulhamid Adebayo, Constantin Adam, Michele Gazzetti, Panagiotis Koutsovasilis, Srikumar Venugopal, Frank Bagehorn, Jesus Maria Rios Aliaga, Karthikeyan Shanmugan
Holistic Resource Management for Performance-based Service Level Objectives  Ravi Iyer, Zbigniew Kalbarczyk, Tamer Basar Chen Wang, Hubertus Franke
Service Level Objectives-aware Scheduling for Multi-Tenant Machine Learning including Workflows with Seamless Ineroperability Across Stacks Indy Gupta, Rakesh Nagi Chen Wang, Asser Tantawi, Diana Arroyo, Alaa Youssef
Enabling Cloud-native HPC Applications and Support for AI Workflows Volodymyr Kindratenko, Wen-mei Hwu, Laxmikant Kale, Laura Herriott Carlos Costa, Claudia Misale, Lixiang Luo, Apoorve Mohan
Scaling Data-intensive Discovery Workflows on the Hybrid Cloud Kenton McHenry Carlos Costa
Renewable Energy-Aware AI Workloads and their Modeling, Optimization and Resource Management in Hybrid Clouds Klara Nahrstedt, Deming Chen Asser Tantawi, Tamar Eilam, Alaa Youssef,  Bruno Michel, Nandhini Chandramoorthy
Operating System Support for Container Security and Processor Design for Containers Josep Torrellas, Tianyin Xu Hubertus Franke
Testing and Analysis of Custom Operators for Cloud Infrastructures Tianyin Xu Paolo Dettori, Mandaa Vaziri, Chen Wang
A Secure, Smart and Open Hybrid Cloud System with a Software-Defined Infrastructure Jian Huang, Deming Chen, Volodymyr Kindratenko, Wen-mei Hwu Sameh Asaad, Mohit Kapur, Bharat Sukhwani, Christoph Hagleitner, Sandhya Koteshwara, Hubertus Franke, Jinjun Xiong
Power-Aware Hardware and System Software Co-design, Integrated Control of Heterogeneous Computers in the Cloud Nam Sung Kim, Josep Torrellas Eun K Lee
Accelerator for Irregular Computations Josep Torrellas Jose Moreira
Power Delivery for Heterogeneously Integrated AI Systems Pavan Hanumolu, Elyse Rosenbaum, Jose Schutt-Aine Dale Becker, Arvind Kumar
Robots on the (Mobile) Edge and in the Hybrid Cloud Nancy Amato, Katie Driggs-Campbell, Liangyan Gui, Julia Hockenmaier, Robin Kravets, Marco Morales, Lawrence Rauchwerger, Yuxiong Wang Dhiraj Joshi, Dinesh Verma, Jose Moreira, Nirmit Desai, Shiqiang Wang, Divyesh Jadav, Luis Bathen