The rapid growth of large-scale AI and machine learning workloads in globally distributed data centers has brought with it unprecedented computing power and, with it, an ever-increasing carbon ...

Given that extreme weather disturbances frequently threaten the safe and stable operation of new power systems, the uncertainty of source–load forecasting has become a particular bottleneck affecting ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

In this article, we advocate environmental equity as a priority for the management of future globally deployed AI systems. Concretely, we explore the potential of harnessing AI workloads’ scheduling ...

Cloud computing has been booming in recent years, driven by the virtualization of hardware and software to meet the demand for more robust and scalable Internet services 1. Cloud computing is a ...

This paper investigates the Dynamic Flexible Job Shop Scheduling Problem (DFJSP), which is based on new job insertion, machine breakdowns, changes in processing time, and considering the state of ...

Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...

Traditional manufacturing enterprises cannot adjust their production line structure in the short term. They face significant challenges in adapting to the rapidly changing market environment and ...

Aug 2: I'll have 2-hour office hours on Wed, Aug 7, 11:30-13:30. Aug 2: The final exam on Aug 9 will be on all topics of the course, with equal emphasis. You'll have 3 hours for an exam that will be ...

[1] Bini, Enrico, and Giorgio C. Buttazzo. "Measuring the performance of schedulability tests." Real-Time Systems 30, no. 1 (2005): 129-154. [2] Davis, Robert I., and Alan Burns. "Improved priority ...