Jaylen Wang

Carnegie Mellon University

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Akshitha Sriraman

Carnegie Mellon University

Jordan C. Alpert

NOAA National Centers for Environmental Prediction

Celine Irvene

Menlo School

Rodrigo Fonseca

Microsoft Research (United Kingdom)

Esha Choukse

Microsoft Research (United Kingdom)

Daniel S. Berger

Seattle University

Ricardo Bianchini

Microsoft Research (United Kingdom)

Kali Frost

Microsoft Research (United Kingdom)

G. Rutledge

NOAA National Centers for Environmental Information

Fiodar Kazhamiaka

Microsoft (United States)

Cooperative Institutions

Chinese Academy of Sciences

Microsoft Research (United Kingdom)

Institute of High Energy Physics

Microsoft (United States)

University of Chinese Academy of Sciences

University of California, Los Angeles

University of Illinois Urbana-Champaign

Google (United States)

Seattle University

University of Washington

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The Swap-Out Injection Scheme for the High Energy Photon Source

Z. H. Duan J. Chen Yuan Guo Yi Jiao J.L. Li

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Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms

Jie-Xuan Lyu Jaylen Wang Kali Frost Chaojie Zhang Celine Irvene

Major cloud providers have stated public plans to lower their carbon emissions. Historically, this has meant focusing on emissions from producing the electricity consumed by datacenters. While work and challenges remain on this avenue, research and industry are actively working on the next step of reducing carbon embedded in servers and racks. At a high level, a promising direction to reduce embodied carbon is to avoid emissions from new manufacturing, which often requires using existing components, devices, and buildings for longer. However, much of the data around carbon breakdowns and reduction opportunities remains silo-ed, leading to speculations and assumptions - both internally and externally - around the opportunities to reduce datacenter carbon intensity. We aim to clarify some of the misconceptions we have encountered.

Carbon fibers

10.1145/3604930.3605717

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Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing

Jaylen Wang Udit Gupta Akshitha Sriraman

The increasing carbon emissions from cloud computing requires new methods to reduce its environmental impact. We explore extending data center server lifetimes to reduce embodied carbon emissions (from hardware manufacturing), rather than operational (from running hardware). Our experiments are the first to analyze a data center application's end-to-end performance on different server generations, to reveal that older hardware can preserve performance in certain conditions (e.g., low load).

Data center

Carbon fibers

Center (category theory)

10.1145/3604930.3605718

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Experiment to measure the electron cloud at BEPC

PACS2001. Proceedings of the 2001 Particle Accelerator Conference (Cat. No.01CH37268) (2002)

Zhen Guo Qing‐Hua Qin Jianshe Cao H. Huang L.L. Ma

Many experiments on photoelectron instability (PEI) have been carried out at the Beijing Electron Positron Collider (BEPC) in IHEP, China, in collaboration with KEK. Simulations on the PEI with a physical model give qualitative agreements with the observations at both BEPC and KEK-B. Based on the detectors at Advanced Photon Source (APS), ANL, a specially-constructed detector was installed at the BEPC. It is hoped to obtain realistic values for the photoelectron (PE) and secondary electron yields as well as the energy spectrum of the electron cloud through the direct measurements of the properties of the PE cloud for both stable and unstable beams. In this paper, the experimental results at the BEPC are presented after the description of the instrumentation, and some discussions are followed afterwards.

Instrumentation

10.1109/pac.2001.987602

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Designing Cloud Servers for Lower Carbon

Jaylen Wang Daniel S. Berger Fiodar Kazhamiaka Celine Irvene Chaojie Zhang

10.1109/isca59077.2024.00041

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High Availability Applications for NOMADS at the NOAA Web Operations Center Aimed at Providing Reliable Real Time Access to Operational Model Data

AGU Spring Meeting Abstracts (2009)

Jordan C. Alpert G. Rutledge Jaylen Wang Paul Freeman Changhyun Kang