Optimal scheduling in the multiserver-job model under heavy traffic
Multiserver-job systems, where jobs require concurrent service at many servers, occur
widely in practice. Essentially all of the theoretical work on multiserver-job systems focuses …
widely in practice. Essentially all of the theoretical work on multiserver-job systems focuses …
A novel Lyapunov based dynamic resource allocation for UAVs-assisted edge computing
Mobile edge computing (MEC), as a key component in the development of IoT and 5G
technologies, can provide extra computation resources in edge servers for mobile devices to …
technologies, can provide extra computation resources in edge servers for mobile devices to …
The RESET and MARC techniques, with application to multiserver-job analysis
Abstract Multiserver-job (MSJ) systems, where jobs need to run concurrently across many
servers, are increasingly common in practice. The default service ordering in many settings …
servers, are increasingly common in practice. The default service ordering in many settings …
Dynamic user allocation in stochastic mobile edge computing systems
Mobile edge computing (MEC) is a new distributed computing paradigm where edge servers
are deployed at, or near cellular base stations in close proximity to end-users. This offers …
are deployed at, or near cellular base stations in close proximity to end-users. This offers …
WCFS: A new framework for analyzing multiserver systems
Multiserver queueing systems are found at the core of a wide variety of practical systems.
Many important multiserver models have a previously-unexplained similarity: identical mean …
Many important multiserver models have a previously-unexplained similarity: identical mean …
A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning
J Lu, J Yang, S Li, Y Li, W Jiang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Resource management challenges frequently manifest in systems and networks as tough
online decision tasks, for which the proper solution is dependent on an understanding of the …
online decision tasks, for which the proper solution is dependent on an understanding of the …
The saturated Multiserver Job Queuing Model with two classes of jobs: Exact and approximate results
We consider a multiserver queue where jobs request for a varying number of servers for a
random service time. The requested number of servers is assigned to each job following a …
random service time. The requested number of servers is assigned to each job following a …
Cloud computing value chains: Research from the operations management perspective
Problem definition: Cloud computing is recognized as a critical driver of information
technology–enabled innovations. The operations management (OM) community, however …
technology–enabled innovations. The operations management (OM) community, however …
EC-TRL: Evolutionary-Weighted Clustering and Transformer-Augmented Reinforcement Learning for Dynamic Resource Scheduling in Edge Cloud Environments
With the rapid development of edge computing, devices now offer powerful computing
capabilities and diverse applications. However, the surge in smart devices accessing the …
capabilities and diverse applications. However, the surge in smart devices accessing the …
Mroco: A novel approach to structured application scheduling with a hybrid vehicular cloud-edge environment
X Xu, P Chen, Y Xia, M Long, Q Peng… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Vehicle Edge Computing (VEC) provides an emerging model for improving vehicle service
and provisioning computational resources in motion. Recently, considerable research efforts …
and provisioning computational resources in motion. Recently, considerable research efforts …