3 papers
cs.DC2026
FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
Minghe Wang, Trever Schirmer, Mohammadreza Malekabbasi +1
Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying MoE models requires al…
cs.DC2026
DisCEdge: Distributed Context Management for Large Language Models at the Edge
Mohammadreza Malekabbasi, Minghe Wang, David Bermbach
Deploying Large Language Model (LLM) services at the edge benefits latency-sensitive and privacy-aware applications. However, the stateless nature of LLMs makes managing user conte…
cs.DC2025
Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
Mohammadreza Malekabbasi, Tobias Pfandzelter, David Bermbach
Application users react negatively to performance regressions or availability issues across software releases. To address this, modern cloud-based applications with their multiple…