Machine learning methods for service placement: a systematic review

P Keshavarz Haddadha, MH Rezvani… - Artificial Intelligence …, 2024 - Springer
With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …

Dynamic task offloading and service caching based on game theory in vehicular edge computing networks

C Cheng, L Zhai, X Zhu, Y Jia, Y Li - Computer Communications, 2024 - Elsevier
Vehicular edge computing (VEC) enables task offloading from vehicle to edge servers
deployed on Road Side Units (RSUs) and to vehicle with idle resources, which is …

Service placement in fog–cloud computing environments: a comprehensive literature review

F Sarkohaki, M Sharifi - The Journal of Supercomputing, 2024 - Springer
With the rapid expansion of the Internet of Things and the surge in the volume of data
exchanged in it, cloud computing became more significant. To face the challenges of the …

A deep reinforcement learning approach towards distributed Function as a Service (FaaS) based edge application orchestration in cloud-edge continuum

ME Khansari, S Sharifian - Journal of Network and Computer Applications, 2025 - Elsevier
Serverless computing has emerged as a new cloud computing model which in contrast to
IoT offers unlimited and scalable access to resources. This paradigm improves resource …

A multi-objective resource pre-allocation scheme using SDN for intelligent transportation system

Y Liu, L Huo, X Zhang, J Wu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
As 5-th Generation (5G) mobile communication and edge computing technologies mature,
Intelligent Transportation System (ITS) are gradually becoming a reality. In the 5G …

Dynamic adaptive workload offloading strategy in mobile edge computing networks

Y Li, S Cheng, H Zhang, J Liu - Computer Networks, 2023 - Elsevier
With the increasing popularity of mobile devices and explosive growth of task processing
requirements, edge computing attracts more attention from researchers nowadays since it …

Heterogeneous edge service deployment for cyber physical social intelligence in internet of vehicles

K Meng, Z Liu, X Xu, X **a, H Tian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cyber Physical Social Intelligence (CPSI) integrates the social intelligence and cyber-
physical systems, enabling machines to better interact and respond to human social …

Adaptive joint placement of edge intelligence services in mobile edge computing

L Du, R Huo, C Sun, S Wang, T Huang - Wireless Networks, 2024 - Springer
Mobile edge computing is an energy-efficient paradigm which has great support for resource-
limited user devices performing compute-intensive programs and applications. However …

A socialized learning-based scheduling framework in intricate edge clouds

Y Zhao, Z Wang, C Qiu, Q He, D Niyato… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Edge computing has emerged as a powerful paradigm for efficient scheduling at the network
edge to fulfill users' requirements for low latency. Edge servers' and clouds' ability to interact …

On attack-resilient service placement and availability in edge-enabled iov networks

A Talpur, M Gurusamy - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Achieving network resilience in terms of attack tolerance and service availability is critically
important for Internet of Vehicles (IoV) networks where vehicles require assistance in …