[HTML][HTML] Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components …

A Guldner, R Bender, C Calero, GS Fernando… - Future Generation …, 2024 - Elsevier
In the past decade, research on measuring and assessing the environmental impact of
software has gained significant momentum in science and industry. However, due to the …

[PDF][PDF] Bridging the sustainability gap in serverless through observability and carbon-aware pricing

C Lin, M Shahrad - 3rd Workshop on Sustainable Computer …, 2024 - cirrus.ece.ubc.ca
Serverless computing has become a mainstream cloud computing paradigm due to its high
scalability, ease of server management, and cost-effectiveness. With cloud data centers' …

Accountable Carbon Footprints and Energy Profiling For Serverless Functions

P Sharma, A Fuerst - Proceedings of the 2024 ACM Symposium on …, 2024 - dl.acm.org
Cloud computing is a significant and growing cause of carbon emissions. Understanding the
energy consumption and carbon footprints of cloud applications is a fundamental …

E-Mapper: Energy-Efficient Resource Allocation for Traditional Operating Systems on Heterogeneous Processors

T Smejkal, R Khasanov, J Castrillon… - arxiv preprint arxiv …, 2024 - arxiv.org
Energy efficiency has become a key concern in modern computing. Major processor
vendors now offer heterogeneous architectures that combine powerful cores with energy …

[PDF][PDF] Towards game-theoretic approaches to attributing carbon in cloud data centers

L Han, J Kakadia, BC Lee, U Gupta - Proceedings of the 2024 …, 2024 - hotcarbon.org
Data centers are becoming an ever greater threat to our climate: their energy usage alone
constituted 0.6% of global greenhouse gas emissions (GHG) emissions in 2020. Recent …

FaasMeter: Energy-First Serverless Computing

A Rehman, A Fuerst, P Sharma - arxiv preprint arxiv:2408.06130, 2024 - arxiv.org
Functions as a Service has emerged as a popular abstraction for a wide range of cloud
applications and an important cloud workload. We present the design and implementation of …

Quality Time: Carbon-Aware Quality Adaptation for Energy-Intensive Services

P Wiesner, D Grinwald, P Weiß, P Wilhelm… - arxiv preprint arxiv …, 2024 - arxiv.org
The energy demand of modern cloud services, particularly those related to generative AI, is
increasing at an unprecedented pace. While hyperscalers are collectively failing to meet …

PACT: Accurate Power Analysis and Carbon Emission Tracking for Sustainability

A Ukarande, T Basaklar, M Cao, U Ogras - Proceedings of the 29th ACM …, 2024 - dl.acm.org
The energy consumption of artificial intelligence (AI) workloads has exceeded 1 GWh/day,
highlighting the urgent need to analyze their energy use and carbon emissions beyond just …

[PDF][PDF] Empower: The case for a cloud power control plane

J Park, T Stavrinos, S Peter, T Anderson - 2024 - theanoli.github.io
Escalating application demand and the end of Dennard scaling have put energy
management at the center of cloud operations. Because of the huge cost and long lead time …

[PDF][PDF] Energy-Aware Process Scheduling in Linux

F Qiao, Y Fang, A Cidon - Proceedings of the 3rd Workshop on …, 2024 - hotcarbon.org
Datacenters are becoming one of the most significant worldwide consumers of electricity
and sources of carbon emissions. With the end of Dennard's scaling, and as cloud …