most citedCarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing

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cs.DC20261 cited

CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing

Guilin Zhang, Wulan Guo, Ziqi Tan +2

Deep learning applications at the network edge lead to a significant growth in AI-related carbon emissions, presenting a critical sustainability challenge. The existing edge comput…

cs.DC2026

Adaptive GPU Resource Allocation for Multi-Agent Collaborative Reasoning in Serverless Environments

Guilin Zhang, Wulan Guo, Ziqi Tan

Multi-agent systems powered by large language models have emerged as a promising paradigm for solving complex reasoning tasks through collaborative intelligence. However, efficient…

cs.DC2025

Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation

Guilin Zhang, Wulan Guo, Ziqi Tan +8

Industrial and government organizations increasingly depend on data-driven analytics for workforce, finance, and regulated decision processes, where timeliness, cost efficiency, an…

cs.DC2025

AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes

Guilin Zhang, Srinivas Vippagunta, Raghavendra Nandagopal +7

Serverless platforms such as Kubernetes are increasingly adopted in high-performance computing, yet autoscaling remains challenging under highly dynamic and heterogeneous workloads…

cs.DC2025

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Guilin Zhang, Wulan Guo, Ziqi Tan +2

Autoscaling GPU inference workloads in Kubernetes remains challenging due to the reactive and threshold-based nature of default mechanisms such as the Horizontal Pod Autoscaler (HP…

cs.DC2025

AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments

Guilin Zhang, Wulan Guo, Ziqi Tan +1

Edge computing facilitates deep learning in resource-constrained environments, but challenges such as resource heterogeneity and dynamic constraints persist. This paper introduces…