Work

Virtual machine placement in cloud using artificial bee colony and imperialist competitive algorithm

Year: 2023

Type: article

Abstract: Increasing resource efficiency and reducing energy consumption are significant challenges in cloud environments. Placing virtual machines is essential in improving cloud systems’ performance. This paper presents a hybrid method using the artificial bee colony and imperialist competitive algorithm to reduce provider costs and decrease client expenditure. Implementation of the proposed plan in the CloudSim simulation environment indicates the proposed method performs better than the Monarch butterfly optimization and salp swarm algorithms regarding energy consumption and resource usage. Moreover, average central processing unit (CPU) and random-access memory (RAM) usage and the number of host shutdowns show better results for the proposed model.

Source: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

DOI: 10.11591/ijece.v13i4.pp4743-4751

Authors: Seyyed-Mohammad Javadi-Moghaddam, Zahra Dehghani

Institutions: Bozorgmehr University of Qaenat, Islamic Azad University of Birjand

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4362590967

FWCI: 0.235

Cites: 30

Cited by: 1

Related to: 10