Efficient Dynamic Deployment of Simulation Tasks in Collaborative Cloud and Edge Environments
Cloud computing has been studied and used extensively in many scenarios for its nearly unlimited resources and X as a service model. To reduce the latency for accessing the remote cloud data centers, small data centers or cloudlets are deployed near end-users, which is also called edge computing. In...
Main Authors: | Miao Zhang, Peng Jiao, Yong Peng, Quanjun Yin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/3/1646 |
Similar Items
-
An adaptive routing strategy in P2P-based Edge Cloud
by: Biao Dong, et al.
Published: (2024-01-01) -
Improved Performance and Cost Algorithm for Scheduling IoT Tasks in Fog–Cloud Environment Using Gray Wolf Optimization Algorithm
by: Naseem Adnan Alsamarai, et al.
Published: (2024-02-01) -
Deadline-Aware Dynamic Task Scheduling in Edge–Cloud Collaborative Computing
by: Yu Zhang, et al.
Published: (2022-08-01) -
SLA-DQTS: SLA Constrained Adaptive Online Task Scheduling Based on DDQN in Cloud Computing
by: Kaibin Li, et al.
Published: (2021-10-01) -
Joint UAV Deployment and Task Offloading Scheme for Multi-UAV-Assisted Edge Computing
by: Fan Li, et al.
Published: (2023-04-01)