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.

scholarly journals Resource Allocation in Cloud Computing using Heuristic Load Balancing Algorithm

2020 ◽  
Author(s):  
Anup Shrestha ◽  
Suriayati Chuprat ◽  
Nandini Mukherjee
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Load Balancing ◽  
Completion Time ◽  
Virtual Machines ◽  
It Services ◽  
Computing Environment ◽  
Load Balancing Algorithm ◽  
Better Than

Cloud computing is becoming more popular, unlike conventional computing, due to its added advantages. This is because it offers utility-based services to its subscribers upon their demand. Furthermore, this computing environment provides IT services to its users where they pay for every use. However, the increasing number of tasks requires virtual machines for them to be accomplished quickly. Load balancing a critical concern in cloud computing due to the massive increase in users' numbers. This paper proposes the best heuristic load balancing algorithm that will schedule a strategy for resource allocation that will minimize make span (completion time) in any technology that involves use cloud computing. The proposed algorithm performs better than other load balancing algorithms.

scholarly journals A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems

2020 ◽  
Vol 14 (3) ◽  
pp. 3117-3128
Author(s):  
Xuan Chen ◽  
Long Cheng ◽  
Cong Liu ◽  
Qingzhi Liu ◽  
Jinwei Liu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Optimization Approach ◽  
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
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