An Emergency Resource Scheduling Model Based on Edge Computing

2019 ◽  
pp. 353-366 ◽  
Author(s):  
Songyan Zhong ◽  
Tao He ◽  
Mengyu Li ◽  
Lanlan Rui ◽  
Guoxin Xia ◽  
...  
Keyword(s):  
Resource Scheduling ◽  
Edge Computing ◽  
Model Based ◽  
Scheduling Model ◽  
Emergency Resource

Research on the Resource Scheduling in Emergency Response Based on ACA

2015 ◽  
Vol 740 ◽  
pp. 1003-1006
Author(s):  
Zhan Gao ◽  
Qing Bo Zhu
Keyword(s):  
Emergency Management ◽  
Emergency Response ◽  
Optimization Problems ◽  
Resource Scheduling ◽  
Supply System ◽  
Theoretical Support ◽  
Scheduling Model ◽  
Disaster Area ◽  
Effective Analysis ◽  
Emergency Resource

This paper mainly studies the emergency resource scheduling algorithms and optimization problems. Through study the effect of explain emergency supplies of resources system, understanding the characteristics of emergency resource, emergency scheduling characteristics and process, and the characteristics of the demand for resources. Emergency resource scheduling model for emergencies, and emergency management by learning the theory and method of study, effective analysis of disaster impact on resource supply system. Select the appropriate scheduling, to the disaster area resources required for effective and reasonable to rise and scheduling is advantageous to the resource scheduling work smoothly. Emergency resource scheduling model is established, provide certain theoretical support for the actual emergency scheduling decisions.

Grid resource scheduling model based on risk evasion

2009 ◽  
Vol 29 (5) ◽  
pp. 1321-1323
Author(s):  
Jun YAO ◽  
Ting-nian HE ◽  
Yong LI ◽  
Wei-li QU ◽  
Man-fu MA
Keyword(s):  
Resource Scheduling ◽  
Grid Resource ◽  
Model Based ◽  
Scheduling Model ◽  
Grid Resource Scheduling ◽  
Risk Evasion

Adaptive Cloud Resource Scheduling Model Based on Improved Ant Colony Algorithm

2020 ◽  
Vol 57 (1) ◽  
pp. 010603
Author(s):  
聂清彬 Nie Qingbin ◽  
潘峰 Pan Feng ◽  
吴嘉诚 Wu Jiacheng ◽  
曹耀钦 Cao Yaoqin
Keyword(s):  
Ant Colony Algorithm ◽  
Resource Scheduling ◽  
Ant Colony ◽  
Model Based ◽  
Scheduling Model ◽  
Cloud Resource ◽  
Cloud Resource Scheduling ◽  
Improved Ant Colony Algorithm

Research on Scheduling Model in Dynamic Environment Based on Computational Economy

2015 ◽  
Vol 713-715 ◽  
pp. 1868-1871 ◽  
Author(s):  
Li Jun Duan
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Environment ◽  
Resource Scheduling ◽  
Evaluation Function ◽  
Scheduling Strategy ◽  
Model Based ◽  
Scheduling Model ◽  
Two Factors ◽  
Efficient Resource

Efficient resource scheduling in dynamic environment reveals several challenges due to its high heterogeneity, dynamic behavior, and space shared utilization. In order to address this issue, a scheduling model based on computational economy was proposed in this paper. Firstly, the problem of resource scheduling was analyzed, and the essence of resource scheduling was concluded. Secondly, a scheduling strategy based on computational economy was presented. It applied the principles of economics and broker technology in its resource scheduling process. The strategy of the model synthetically considered two factors: execution cost and total complete time. An evaluation function driven by user’s needs was also built based on the two factors. Finally, the scheduling strategy was simulated. The result shows that the model can adjust the relation between price and time based on computational economy efficiently. It indicates that the model is an effective approach for resource scheduling.

Sign in / Sign up

Export Citation Format

Share Document