An improved VM selection and allocation hybrid algorithm using grasshopper and firefly in cloud computing

作     者：Singh, Rachhpal Singh, Sarpreet 

作者机构：Sri Guru Granth Sahib World Univ Dept Comp Sci Fatehgarh Sahib India 

出 版 物：《INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS》 (Int. J. Embedded Syst.)

年 卷 期：2024年第17卷第3-4期

页      面：251-266页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：cloud computing CC resource allocation grasshopper algorithm firefly algorithm FA quality of service QoS SLA violation power consumption PC optimisation green computing cost savings 

摘      要：Cloud computing has emerged as a dynamic and resource-intensive domain, demanding innovative solutions to efficiently allocate and manage resources. In response, this paper introduces a pioneering optimisation algorithm that seamlessly integrates the Grasshopper Algorithm for virtual machine selection and the firefly algorithm (FA) for physical machine selection. The primary objective is to optimise critical quality of service parameters while effectively addressing challenges associated with service level agreement violation (SLA-V) and power consumption. Through a comprehensive series of rigorous evaluations, Grasshopper and FA consistently outperform existing solutions. The authors demonstrate significant reduction in SLA-V and power consumption, offering tangible benefits to cloud service providers. This work represents a promising advancement in cloud resource management, aligning with green computing initiatives and promising cost-saving opportunities.