A Novel Task Provisioning Approach Fusing Reinforcement Learning for Big Data
The large-scale tasks processing for big data using cloud computing has become a hot research topic. Most of previous work on task processing is directly customized and achieved through existing methods. It may result in relatively more system response time, high algorithm complexity and resource wa...
Main Authors: | Yongyi Cheng, Gaochao Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8846672/ |
Similar Items
-
Improved Hungarian algorithm–based task scheduling optimization strategy for remote sensing big data processing
by: Sheng Zhang, et al.
Published: (2023-04-01) -
Optimal Resource Provisioning and Task Offloading for Network-Aware and Federated Edge Computing
by: Avilia Kusumaputeri Nugroho, et al.
Published: (2023-11-01) -
A Novel Two-Layered Reinforcement Learning for Task Offloading with Tradeoff between Physical Machine Utilization Rate and Delay
by: Li Quan, et al.
Published: (2018-07-01) -
The Big Five and Big Two personality factors in Mongolia
by: Michael Minkov, et al.
Published: (2022-07-01) -
Erratum: The big five and big two personality factors in Mongolia
by: Frontiers Production Office
Published: (2022-09-01)