Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Research Progress of Cloud Computing Task Scheduling Technology

Authors
Xiuhuan Zang, Jin Sun, Jiantao Zhao, Wenjing Zeng
Corresponding Author
Xiuhuan Zang
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.63How to use a DOI?
Keywords
Cloud computing, Task scheduling, Technology
Abstract
Cloud computing is a distributed computing model that enables developers to automatically deploy applications during task allocation and storage allocation. Cloud computing is the sharing of a virtual computer resource pool and the storage, storage and computing power of the device. In cloud computing environment, task scheduling is a key problem, which needs to consider various factors that restrict user tasks, and is responsible for selecting the most appropriate cloud computing resources for user tasks. Task scheduling algorithm is a NP complete problem which plays an important role in cloud computing. This paper studies the application of job scheduling algorithm in cloud computing environment, compares and analyzes various classical algorithms and optimization algorithms, and summarizes the advantages and disadvantages of each algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiuhuan Zang
AU  - Jin Sun
AU  - Jiantao Zhao
AU  - Wenjing Zeng
PY  - 2018/05
DA  - 2018/05
TI  - Research Progress of Cloud Computing Task Scheduling Technology
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 369
EP  - 373
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.63
DO  - https://doi.org/10.2991/amcce-18.2018.63
ID  - Zang2018/05
ER  -