Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm
FOS: Computer and information sciences
Artificial intelligence
Computer Networks and Communications
Heuristic
02 engineering and technology
Cloud Computing and Big Data Technologies
Quantum mechanics
Network Virtualization
Virtualization
0202 electrical engineering, electronic engineering, information engineering
Edge Computing
Cloud computing
Network Function Virtualization
Internet of Things and Edge Computing
Physics
Software-Defined Networking and Network Virtualization
Power (physics)
Computer science
Virtual machine
Distributed computing
Virtual Network Embedding
Algorithm
Operating system
Power consumption
Computer Science
Physical Sciences
Information Systems
DOI:
10.1007/s10586-024-04389-4
Publication Date:
2024-04-12T19:01:36Z
AUTHORS (5)
ABSTRACT
Abstract This article presents a virtual machine placement technique aimed at minimizing power usage in heterogeneous cloud data centers. In this study, an innovative model for the of datacenter’s network is provided. The Enriched Discrete Butterfly Optimization method (EDBOA) used as meta-heuristic order to achieve effective mapping machines (VMs) onto physical (PMs). Reverse Order Filling Method (ROFM) was developed solution repair meet requirements BOA. It manipulate solutions identify potential candidates more optimum solutions. Furthermore, we constructed VM’s that had both Left-Right and Top-Down communication capabilities. Additionally, PM’s with limited capacities terms CPU, memory, bandwidth are designed included purpose testing. integration our into EDBOA algorithms facilitates calculation modules consumption. A detailed comparative analysis conducted on suggested approaches many other comparable methods. evaluation findings demonstrate offered exhibit strong performance, BOA algorithm using ROFM surpassing methods usage. assessment also importance
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