11 citations · 14 across the 4 of their papers we have counts for
4 papers
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
Xinjing Yuan, Lingjun Pu, Lei Jiao +3
In this paper, we advocate CPN-FedSL, a novel and flexible Federated Split Learning (FedSL) framework over Computing Power Network (CPN). We build a dedicated model to capture the…
Sieve: Actionable Insights from Monitored Metrics in Microservices
Jörg Thalheim, Antonio Rodrigues, Istemi Ekin Akkus +5
Major cloud computing operators provide powerful monitoring tools to understand the current (and prior) state of the distributed systems deployed in their infrastructure. While suc…
Achieving Energy Efficiency in Cloud Brokering
Lin Wang, Lei Jiao, Mateusz Guzek +2
The proliferation of cloud providers has brought substantial interoperability complexity to the public cloud market, in which cloud brokering has been playing an important role. Ho…
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
Xu Chen, Lei Jiao, Wenzhong Li +1
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users. In this pap…