MPCSM: Microservice placement for edge-cloud collaborative smart manufacturing

Y Wang, C Zhao, S Yang, X Ren… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Latency-aware service placement is promising in reducing the overall service response
latency of proliferating edge-cloud collaborative smart manufacturing systems. However …

Data-driven optimization for cooperative edge service provisioning with demand uncertainty

L Li, D Shi, R Hou, X Li, J Wang, H Li… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) empowers service providers (SPs) to run applications
on the shared edge platforms in close proximity to mobile users, enabling ultralow latency …

An effective edge-intelligent service placement technology for 5G-and-beyond industrial IoT

T Wang, Y Zhang, NN Xiong, S Wan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the rapid development of wireless communication, traditional cloud computing cannot
fully support low-latency services, especially in sensor networks. Mobile edge computing …

Study on edge-cloud collaborative production scheduling based on enterprises with multi-factory

J Ma, H Zhou, C Liu, E Mingcheng, Z Jiang… - IEEE Access, 2020 - ieeexplore.ieee.org
The depth development and widespread application of edge intelligence technology based
on the Internet of Things has led to edge-cloud collaboration and related research. In recent …

Deep reinforcement learning for edge service placement in softwarized industrial cyber-physical system

Y Hao, M Chen, H Gharavi, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Future industrial cyber-physical system (CPS) devices are expected to request a large
amount of delay-sensitive services that need to be processed at the edge of a network. Due …

[HTML][HTML] Deadline-aware dynamic task scheduling in edge–cloud collaborative computing

Y Zhang, B Tang, J Luo, J Zhang - Electronics, 2022 - mdpi.com
In recent years, modern industry has been exploring the transition to cyber physical system
(CPS)-based smart factories. As intelligent industrial detection and control technology grows …

Composition of resource-service chain for cloud manufacturing

H Li, KCC Chan, M Liang, X Luo - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In distributed manufacturing systems, manufacturing resource composition is one of the most
important problems. This is because efficiency of resource selection and resource utilization …

Performance evaluation of containerization in edge-cloud computing stacks for industrial applications: A client perspective

Y Liu, D Lan, Z Pang, M Karlsson… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Today, the edge-cloud computing paradigm starts to gain increasing popularity, aiming to
enable short latency, fast decision-making and intelligence at the network edge, especially …

A Cloud-based pluggable manufacturing service scheme for smart factory

YY Liu, MH Hung, YC Lin, CC Chen… - 2018 IEEE 14th …, 2018 - ieeexplore.ieee.org
Implementing intelligent manufacturing services on factory-wide edge devices connected
with production equipment efficiently so that those manufacturing services are pluggable …

Double auction-based manufacturing cloud service allocation in an industrial park

K Kang, SX Xu, RY Zhong, BQ Tan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial parks are regarded as a possible fashion to reduce the manufacturing costs and
increase the efficiency by sharing cost-effective infrastructure and communal services …