3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management
Sirui Qi, Hayden Moore, Ninad Hogade +3
Function-as-a-Service (FaaS) is a growing cloud computing paradigm that is expected to reduce the user cost of service over traditional serverful approaches. However, the environme…
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
S. Qi, H. Moore, N. Hogade +3
Serverless computing is an emerging cloud computing paradigm that can reduce costs for cloud providers and their customers. However, serverless cloud platforms have stringent perfo…
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
Alok Kamatar, Valerie Hayot-Sasson, Yadu Babuji +6
Application energy efficiency can be improved by executing each application component on the compute element that consumes the least energy while also satisfying time constraints.…
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers
Ninad Hogade, Sudeep Pasricha
Data centers are increasingly using more energy due to the rise in Artificial Intelligence (AI) workloads, which negatively impacts the environment and raises operational costs. Re…