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GreenGrader : = A Carbon-Aware Distributed Autograder System.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	GreenGrader :/
其他題名:	A Carbon-Aware Distributed Autograder System.
作者:	McSwain, Malcolm Robert.
面頁冊數:	1 online resource (48 pages)
附註:	Source: Masters Abstracts International, Volume: 85-06.
Contained By:	Masters Abstracts International85-06.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9798381185812

GreenGrader : = A Carbon-Aware Distributed Autograder System.
McSwain, Malcolm Robert.

GreenGrader :A Carbon-Aware Distributed Autograder System. - 1 online resource (48 pages)

Source: Masters Abstracts International, Volume: 85-06.

Thesis (M.S.)--University of California, San Diego, 2023.

Includes bibliographical references

GreenGrader is a carbon-aware distributed autograder system designed to minimize the environmental impact of computational workloads. Autograding, the automated assessment of student assignments, is increasingly utilized in computer science education. While valuable pedagogically, it can be resource intensive. GreenGrader aims to minimize the carbon footprint of these workloads through energy-efficient computing and carbon-aware scheduling. It consists of an ingestion pipeline to receive submissions and an execution pipeline to evaluate them using containers across distributed infrastructure. By integrating with a carbon-aware scheduler and the National Research Platform's HyperCluster, GreenGrader enables geographic workload shifting to optimize carbon emissions. The efficacy of GreenGrader was evaluated using 134 genuine student submissions. Compared to static geographic placement, GreenGrader reduced carbon emissions by 40.91% by shifting workloads based on real-time carbon intensity data, demonstrating the promise of carbon-aware scheduling. Overall, GreenGrader represents an advancement in aligning distributed computing with ecological stewardship. As society advances towards low-carbon systems, GreenGrader provides a model for embedding environmental responsibility within computational workloads.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381185812Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Computational workloadsIndex Terms--Genre/Form:

554714
Electronic books.

GreenGrader : = A Carbon-Aware Distributed Autograder System.
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