Optimal scheduling in the multiserver-job model under heavy traffic

I Grosof, Z Scully, M Harchol-Balter… - Proceedings of the ACM …, 2022 - dl.acm.org
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 …

A novel Lyapunov based dynamic resource allocation for UAVs-assisted edge computing

J Lin, L Huang, H Zhang, X Yang, P Zhao - Computer Networks, 2022 - Elsevier
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 …

The RESET and MARC techniques, with application to multiserver-job analysis

I Grosof, Y Hong, M Harchol-Balter… - Performance …, 2023 - Elsevier
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 …

Dynamic user allocation in stochastic mobile edge computing systems

P Lai, Q He, X Xia, F Chen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

WCFS: A new framework for analyzing multiserver systems

I Grosof, M Harchol-Balter, A Scheller-Wolf - Queueing Systems, 2022 - Springer
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 …

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 …

The saturated Multiserver Job Queuing Model with two classes of jobs: Exact and approximate results

D Olliaro, MA Marsan, S Balsamo, A Marin - Performance Evaluation, 2023 - Elsevier
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 …

Cloud computing value chains: Research from the operations management perspective

S Chen, K Moinzadeh, JS Song… - … & Service Operations …, 2023 - pubsonline.informs.org
Problem definition: Cloud computing is recognized as a critical driver of information
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

X Zhou, J Yang, Y Li, S Li, Z Su… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid development of edge computing, devices now offer powerful computing
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 …