A Resource Scheduling Method Based on Deep Reinforcement Learning

2021 ◽  
Vol 11 (07) ◽  
pp. 2008-2018
Author(s):  
飞鸿 赵
Keyword(s):  
Reinforcement Learning ◽  
Resource Scheduling ◽  
Scheduling Method

Research on intelligent workshop resource scheduling method based on improved NSGA-II algorithm

2021 ◽  
Vol 71 ◽  
pp. 102141
Author(s):  
Minghai Yuan ◽  
Yadong Li ◽  
Lizhi Zhang ◽  
Fengque Pei
Keyword(s):  
Resource Scheduling ◽  
Nsga Ii ◽  
Scheduling Method

scholarly journals A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 22067-22080 ◽  
Author(s):  
Liyun Zuo ◽  
Lei Shu ◽  
Shoubin Dong ◽  
Yuanfang Chen ◽  
Li Yan
Keyword(s):  
Resource Scheduling ◽  
Hybrid Cloud ◽  
Multi Objective ◽  
Cost Constraints ◽  
Cloud Resource ◽  
Scheduling Method ◽  
Cloud Resource Scheduling

A Resource Scheduling Method with Rough Set for Virtual Cluster

2016 ◽  
Author(s):  
Cunqun Fan ◽  
Xiangang Zhao ◽  
Manyun Lin ◽  
Lan Wei ◽  
Zhanyun Zhang ◽  
...  
Keyword(s):  
Rough Set ◽  
Resource Scheduling ◽  
Virtual Cluster ◽  
Scheduling Method

Resource Scheduling Method Based on the Tenants' Requirements of QoS

2012 ◽  
Vol 546-547 ◽  
pp. 1158-1163
Author(s):  
Ting Wei Chen ◽  
Ji Hong Wu
Keyword(s):  
Quality Of Service ◽  
Resource Scheduling ◽  
Software As A Service ◽  
Shared Resources ◽  
Service Levels ◽  
Scheduling Strategy ◽  
Scheduling Method

Multi-tenancy technology in SaaS (Software as a Service), the basis of the shared resources on how to meet quality of service requirements of different tenants, is a major problem faced by the resource scheduling. Solve the problem, proposed a resource scheduling method based on the tenants' requirements of QoS: resources classified by types of resources QoS value of the keywords the two indexes to the formation of the three resource pool structure, in order to improve the speed of resource scheduling; division of tenants rating to determine the order of execution of the request, types of resources required, the division of tenants request for the sub-request, according to the sub-requested quality of service levels ,respectively, using different resource scheduling strategy, the isolation of different quality of service requirements of tenants. The experiments show that the method can achieve the tenants' quality of service requirements, and has a higher efficiency.

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