Embracing AI for Energy-Efficient Data Movement across the Computing Continuum by Tevfik Kosar

The digital revolution is transforming scientific disciplines across the board, with our growing reliance on the timely access, analysis, and interpretation of large-scale, heterogeneous, and often uncertain datasets propelling scientific discovery to new realms. This surge in global data access and movement requirements has also made the energy consumption and carbon footprint of data transfers a critical concern, particularly for high-performance computing (HPC) and cloud data centers, where the environmental impact is becoming increasingly unsustainable. The information and communication technologies are responsible for about three percent of global carbon emissions, which is very close to that associated with the aviation industry, and it could deteriorate if left unaddressed. The share of communication networks in the total IT power consumption is around 43%. In this talk, I will present our efforts on creating the first-ever energy-efficient and carbon-aware data access and sharing cyberinfrastructure (CI) for the wider community. This novel CI, empowered by AI, will allow researchers to be able to access the widely-distributed, heterogeneous, complex, and dynamic data sources across the computing continuum from the micro level (e.g., edge devices, sensors, IoT) to the macro level (e.g., data centers, clouds, supercomputers) in an easy, efficient and timely manner while minimizing the energy consumption and carbon emission of the data transfers.

Видео Embracing AI for Energy-Efficient Data Movement across the Computing Continuum by Tevfik Kosar канала Multicore World