Optimization of Resource Allocation and Energy Efficiency in Heterogeneous Cloud Data Centers

2015 ◽  
Author(s):  
Amer Qouneh ◽  
Ming Liu ◽  
Tao Li
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Heterogeneous Cloud

scholarly journals Multi-Objective Service Placement Scheme Based on Fuzzy-AHP System for Distributed Cloud Computing

2019 ◽  
Vol 9 (17) ◽  
pp. 3550 ◽  
Author(s):  
A-Young Son ◽  
Eui-Nam Huh
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Response Time ◽  
Data Centers ◽  
Cloud Data ◽  
Multi Objective ◽  
Service Placement ◽  
Service Response Time ◽  
Cloud Data Centers ◽  
Distributed Cloud

With the rapid increase in the development of the cloud data centers, it is expected that massive data will be generated, which will decrease service response time for the cloud data centers. To improve the service response time, distributed cloud computing has been designed and researched for placement and migration from mobile devices close to edge servers that have secure resource computing. However, most of the related studies did not provide sufficient service efficiency for multi-objective factors such as energy efficiency, resource efficiency, and performance improvement. In addition, most of the existing approaches did not consider various metrics. Thus, to maximize energy efficiency, maximize performance, and reduce costs, we consider multi-metric factors by combining decision methods, according to user requirements. In order to satisfy the user’s requirements based on service, we propose an efficient service placement system named fuzzy- analytical hierarchical process and then analyze the metric that enables the decision and selection of a machine in the distributed cloud environment. Lastly, using different placement schemes, we demonstrate the performance of the proposed scheme.

scholarly journals Reproducible experiments on dynamic resource allocation in cloud data centers

2016 ◽  
Vol 59 ◽  
pp. 98-101 ◽  
Author(s):  
Andreas Wolke ◽  
Martin Bichler ◽  
Fernando Chirigati ◽  
Victoria Steeves
Keyword(s):  
Resource Allocation ◽  
Data Centers ◽  
Dynamic Resource Allocation ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Dynamic Resource
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