125 citations · 177 across the 17 of their papers we have counts for
6 papers · 1 filter
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
Yiwen Han, Shihao Shen, Xiaofei Wang +2
Kubernetes (k8s) has the potential to merge the distributed edge and the cloud but lacks a scheduling framework specifically for edge-cloud systems. Besides, the hierarchical distr…
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
Stephen Pasteris, Shiqiang Wang, Mark Herbster +1
Mobile edge computing (MEC) is a promising technique for providing low-latency access to services at the network edge. The services are hosted at various types of edge nodes with b…
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems
Tiffany Tuor, Shiqiang Wang, Kin K. Leung +1
Large-scale distributed computing systems often contain thousands of distributed nodes (machines). Monitoring the conditions of these nodes is important for system management purpo…
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis +4
Emerging technologies and applications including Internet of Things (IoT), social networking, and crowd-sourcing generate large amounts of data at the network edge. Machine learnin…
Location Privacy in Mobile Edge Clouds: A Chaff-based Approach
Ting He, Ertugrul N. Ciftcioglu, Shiqiang Wang +1
In this paper, we consider user location privacy in mobile edge clouds (MECs). MECs are small clouds deployed at the network edge to offer cloud services close to mobile users, and…
Mobility-Induced Service Migration in Mobile Micro-Clouds
Shiqiang Wang, Rahul Urgaonkar, Ting He +3
Mobile micro-cloud is an emerging technology in distributed computing, which is aimed at providing seamless computing/data access to the edge of the network when a centralized serv…