@inproceedings{88767d3a066b4b61b0680c13fa7f53a9,
title = "Research on Task Allocation and Resource Scheduling Method in Cloud Environment",
abstract = "Task allocation and resource scheduling capability are important indicators for evaluating cloud environment. Aiming at the problems of low resource utilization, high algorithm time complexity and low task allocation efficiency of existing task allocation strategies, a task allocation and resource scheduling method based on dynamic programming in cloud environment is proposed. Using the idea of dynamic programming, this method regards the matching of tasks and servers as a combination of multi-stage decision-making, and obtains the optimization scheme of task allocation, which reduces the completion time of tasks. The experimental results show that the proposed method can reduce the task completion time and the resource load is relatively balanced, which can effectively improve the task execution efficiency.",
keywords = "Cloud environment, Dynamic programming, Resource scheduling, Task allocation",
author = "Pengpeng Wang and Kaikun Dong and Hongri Liu and Bailing Wang and Wei Wang and Lianhai Wang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th International Conference on Intelligent, Interactive Systems and Applications, IISA2019 ; Conference date: 28-06-2019 Through 30-06-2019",
year = "2020",
doi = "10.1007/978-3-030-34387-3\_69",
language = "英语",
isbn = "9783030343866",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "560--567",
editor = "Fatos Xhafa and Srikanta Patnaik and Madjid Tavana",
booktitle = "Advances in Intelligent Systems and Interactive Applications - Proceedings of the 4th International Conference on Intelligent, Interactive Systems and Applications, IISA2019",
address = "德国",
}