63 citations · 211 across the 12 of their papers we have counts for
12 papers
Modeling Tradeoffs between mobility, cost, and performance in Edge Computing
Muhammad Danish Waseem, Ahmed Ali-Eldin
Edge computing provides a cloud-like architecture where small-scale resources are distributed near the network edge, enabling applications on resource-constrained devices to offloa…
The Hidden Bloat in Machine Learning Systems
Huaifeng Zhang, Ahmed Ali-Eldin
Software bloat refers to code and features that is not used by a software during runtime. For Machine Learning (ML) systems, bloat is a major contributor to their technical debt le…
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
Abel Souza, Shruti Jasoria, Basundhara Chakrabarty +6
There has been a significant societal push towards sustainable practices, including in computing. Modern interactive workloads such as geo-distributed web-services exhibit various…
The Cure is in the Cause: A Filesystem for Container Debloating
Huaifeng Zhang, Mohannad Alhanahnah, Philipp Leitner +1
Containers have become a standard for deploying applications due to their convenience, but they often suffer from significant software bloat-unused files that inflate image sizes,…
Machine Learning Systems are Bloated and Vulnerable
Huaifeng Zhang, Fahmi Abdulqadir Ahmed, Dyako Fatih +4
Today's software is bloated with both code and features that are not used by most users. This bloat is prevalent across the entire software stack, from operating systems and applic…
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds
Qianlin Liang, Walid A. Hanafy, Ahmed Ali-Eldin +1
Since emerging edge applications such as Internet of Things (IoT) analytics and augmented reality have tight latency constraints, hardware AI accelerators have been recently propos…