ICTACT Journal on Soft Computing

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Swarm Intelligence Optimization for Resource Allocation in Cloud Computing Environments


Affiliations
1 Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, India
2 Department of Information Technology, Siddhant College of Engineering, India
3 Department of Computer Engineering, Government Polytechnic College, Namakkal, India
4 School of Computing Science and Engineering, VIT Bhopal University, India
     

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Cloud computing has emerged as a powerful paradigm for resource allocation due to its scalability and flexibility. Efficient resource allocation is critical for optimizing the performance and utilization of cloud resources. In this context, swarm intelligence optimization algorithms, such as Salp Swarm Optimization (SSO), have shown promising results in solving complex optimization problems. This paper presents a novel approach that utilizes SSO for resource allocation in cloud computing environments. The proposed approach aims to maximize resource utilization, minimize response time, and improve overall system performance. The SSO algorithm is used to dynamically allocate virtual machines (VMs) to physical hosts based on their resource demands and availability. Experimental results demonstrate that the proposed approach outperforms existing methods in terms of resource utilization and response time, thereby enhancing the efficiency of cloud computing environments.

Keywords

Swarm Intelligence Optimization, Salp Swarm Optimization, Resource Allocation, Cloud Computing, Virtual Machines, Resource Utilization, Response Time, Performance Optimization.
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  • Swarm Intelligence Optimization for Resource Allocation in Cloud Computing Environments

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Authors

Adlin Sheeba
Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, India
Brijendra Gupta
Department of Information Technology, Siddhant College of Engineering, India
L. Malathi
Department of Computer Engineering, Government Polytechnic College, Namakkal, India
D. Saravanan
School of Computing Science and Engineering, VIT Bhopal University, India

Abstract


Cloud computing has emerged as a powerful paradigm for resource allocation due to its scalability and flexibility. Efficient resource allocation is critical for optimizing the performance and utilization of cloud resources. In this context, swarm intelligence optimization algorithms, such as Salp Swarm Optimization (SSO), have shown promising results in solving complex optimization problems. This paper presents a novel approach that utilizes SSO for resource allocation in cloud computing environments. The proposed approach aims to maximize resource utilization, minimize response time, and improve overall system performance. The SSO algorithm is used to dynamically allocate virtual machines (VMs) to physical hosts based on their resource demands and availability. Experimental results demonstrate that the proposed approach outperforms existing methods in terms of resource utilization and response time, thereby enhancing the efficiency of cloud computing environments.

Keywords


Swarm Intelligence Optimization, Salp Swarm Optimization, Resource Allocation, Cloud Computing, Virtual Machines, Resource Utilization, Response Time, Performance Optimization.

References