GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks
over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) …
over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) …
Unleashing the Potential of Stage-Wise Decision-Making in Scheduling of Graph-Structured Tasks over Mobile Vehicular Clouds
To process high volumes of data across a fleet of dynamic and distributed vehicles, it is
crucial to implement resource provisioning techniques that can provide reliable, cost …
crucial to implement resource provisioning techniques that can provide reliable, cost …
Strict Partitioning for Sporadic Rigid Gang Tasks
The rigid gang task model is based on the idea of executing multiple threads simultaneously
on a fixed number of processors to increase efficiency and performance. Although there is …
on a fixed number of processors to increase efficiency and performance. Although there is …
SFSM: A Serverless Function Scheduling Method for FaaS Applications over Edge Computing
Serverless edge computing is emerging as an enabler to provision scalable and flexible
Function-as-a-Service (FaaS) applications with lightweight function instances at network …
Function-as-a-Service (FaaS) applications with lightweight function instances at network …
Parallelization for Real-Time Dag Tasks Under Federated Scheduling
J Qiao, L Feng - papers.ssrn.com
Real-time task scheduling in multicore real-time systems is a topic worthy of in-depth study.
Specifically, the scheduling of parallel task models has become a focal point of research in …
Specifically, the scheduling of parallel task models has become a focal point of research in …