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, 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
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