Abstract
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, the service level agreement (SLA) violation are minimised. Simulation results show that GSO based VMP algorithm outperforms many of the common VMP algorithms.
| Original language | English |
|---|---|
| Title of host publication | Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Conferences |
| Publisher | IEEE |
| Pages | 808-814 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781509027712 |
| ISBN (Print) | 9781509027729 |
| DOIs | |
| Publication status | Published - 16 Jan 2017 |
Keywords
- cloud computing
- resource management
- energy efficiency
- glowworm swarm optimisation (GSO)
- virtual machine placement
Documents and Links
- Alboaneen, D.A. et al (2017) Glowworm swarm optimisation algorithm for virtual machine placement in cloud computing
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