activity
20232025
most citedSHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2025

An RDMA-First Object Storage System with SmartNIC Offload

Yu Zhu, Aditya Dhakal, Pedro Bruel +4

AI training and inference impose sustained, fine-grain I/O that stresses host-mediated, TCP-based storage paths. Motivated by kernel-bypass networking and user-space storage stacks…

cs.DC2025

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters

Hayden Moore, Sirui Qi, Ninad Hogade +3

In recent years, Large Language Models (LLM) such as ChatGPT, CoPilot, and Gemini have been widely adopted in different areas. As the use of LLMs continues to grow, many efforts ha…

cs.DC20241 cited

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.…

cs.DC20231 cited

MOSAIC: A Multi-Objective Optimization Framework for Sustainable Datacenter Management

Sirui Qi, Dejan Milojicic, Cullen Bash +1

In recent years, cloud service providers have been building and hosting datacenters across multiple geographical locations to provide robust services. However, the geographical dis…

cs.DC20232 cited

SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management

Sirui Qi, Dejan Milojicic, Cullen Bash +1

Today's cloud data centers are often distributed geographically to provide robust data services. But these geo-distributed data centers (GDDCs) have a significant associated enviro…

cs.DC2023

Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems

Amir Nassereldine, Safaa Diab, Mohammed Baydoun +4

In modern computing environments, users may have multiple systems accessible to them such as local clusters, private clouds, or public clouds. This abundance of choices makes it di…