Multiagent-Based Resource Allocation for Energy Minimization in Cloud Computing Systems

2016 ◽  
pp. 1-16 ◽  
Author(s):  
Wanyuan Wang ◽  
Yichuan Jiang ◽  
Weiwei Wu
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Minimization ◽  
Computing Systems

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Computing ◽  
2014 ◽  
Vol 98 (7) ◽  
pp. 751-774 ◽  
Author(s):  
Abdul Hameed ◽  
Alireza Khoshkbarforoushha ◽  
Rajiv Ranjan ◽  
Prem Prakash Jayaraman ◽  
Joanna Kolodziej ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Efficient ◽  
Computing Systems ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

A Novel Resource Allocation and Scheduling Based on Priority Using Metaheuristic for Cloud Computing Environment

2021 ◽  
pp. 113-134
Author(s):  
Meenakshi Garg ◽  
Amandeep Kaur ◽  
Gaurav Dhiman
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Completion Time ◽  
Spotted Hyena ◽  
Optimization Approach ◽  
Computing Systems ◽  
Emperor Penguins ◽  
Recovery Techniques ◽  
Resource Requirements ◽  
Scheduling Technique

In cloud computing systems, current works do not challenge the database failure rates and recovery techniques. In this chapter, priority-based resource allocation and scheduling technique is proposed by using the metaheuristic optimization approach spotted hyena optimizer (SHO). Initially, the emperor penguins predict the workload of user server and resource requirements. The expected completion time of each server is estimated with this predicted workload. Then the resources activities are classified based on the criteria of the deadline and the asset. Further, the employed servers are classified based on the workload and the estimated completed time. The proposed approach is compared with existing resource utilization techniques in terms of percentage of resource allocation, missed deadlines, and average server workload.

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