A Grid DAG Scheduling Algorithm Based on Fuzzy Clustering

2006 ◽  
Vol 17 (11) ◽  
pp. 2277 ◽  
Author(s):  
DU Xiao-Li
Keyword(s):  
Fuzzy Clustering ◽  
Scheduling Algorithm ◽  
Dag Scheduling

scholarly journals Improved FIFO Scheduling Algorithm Based on Fuzzy Clustering in Cloud Computing

Information ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. 25 ◽  
Author(s):  
Jian Li ◽  
Tinghuai Ma ◽  
Meili Tang ◽  
Wenhai Shen ◽  
Yuanfeng Jin
Keyword(s):  
Cloud Computing ◽  
Fuzzy Clustering ◽  
Scheduling Algorithm

Dynamic multi DAG scheduling algorithm for optical grid environment

2007 ◽  
Author(s):  
Liying Zhu ◽  
Zhenyu Sun ◽  
Wei Guo ◽  
Yaohui Jin ◽  
Weiqiang Sun ◽  
...  
Keyword(s):  
Scheduling Algorithm ◽  
Grid Environment ◽  
Dag Scheduling ◽  
Optical Grid

scholarly journals Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2122 ◽  
Author(s):  
Guangshun Li ◽  
Yuncui Liu ◽  
Junhua Wu ◽  
Dandan Lin ◽  
Shuaishuai Zhao
Keyword(s):  
Cloud Computing ◽  
Fuzzy Clustering ◽  
User Satisfaction ◽  
Scheduling Algorithm ◽  
Fog Computing ◽  
Resource Scheduling ◽  
Computing Technology ◽  
Swarm Optimization ◽  
Resource Search ◽  
Scheduling Method

Cloud computing technology is widely used at present. However, cloud computing servers are far from terminal users, which may lead to high service request delays and low user satisfaction. As a new computing architecture, fog computing is an extension of cloud computing that can effectively solve the aforementioned problems. Resource scheduling is one of the key technologies in fog computing. We propose a resource scheduling method for fog computing in this paper. First, we standardize and normalize the resource attributes. Second, we combine the methods of fuzzy clustering with particle swarm optimization to divide the resources, and the scale of the resource search is reduced. Finally, we propose a new resource scheduling algorithm based on optimized fuzzy clustering. The experimental results show that our method can improve user satisfaction and the efficiency of resource scheduling.

Research on Multi-QoS and Trusted Task Scheduling in Cloud Computing Environment

2012 ◽  
Vol 263-266 ◽  
pp. 1892-1896
Author(s):  
Fu Fang Li ◽  
Dong Qing Xie ◽  
Ying Gao ◽  
Guo Wen Xie ◽  
Qiu Ye Guo
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Task Scheduling ◽  
Fuzzy Clustering ◽  
Scheduling Algorithm ◽  
Management Model ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Task Scheduling Algorithm ◽  
And Task

Multi-QoS and Trusted resource management and Task Scheduling are key problem in cloud computing. This paper presented an effective Multi-QoS and Trusted resource management model and Task Scheduling algorithm in Cloud Computing Environment. By using the idea of fuzzy clustering for reference, the proposed approach can subtly schedule the Cloud tasks to appropriate resources that exactly meets its’ multi-QoS needs of resources. Considering the credibility of cloud resources, the credibility and trusty of task scheduling has been dramatically improved.

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