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Glowworm Swarm Optimisation Algorithm for Virtual Machine Placement in Cloud Computing
Conference proceeding

Glowworm Swarm Optimisation Algorithm for Virtual Machine Placement in Cloud Computing

Dabiah Ahmed Alboaneen, Huaglory Tianfield and Yan Zhang
2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD), pp.808-814
01/01/2016
DOI: https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.153

Abstract

Computer Science Computer Science, Interdisciplinary Applications Science & Technology Technology
Virtual machine placement (VMP) is the assignment of virtual machines (VMs) to physical hosts (PHs). In this paper, we apply a glowworm swarm optimisation (GSO) algorithm to solve the VMP problem so that the energy consumption and the service level agreement (SLA) violation are minimised. Simulation results show that GSO based VMP algorithm outperforms many of the common VMP algorithms.

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