| Autor: |
Abhijeet S. Kulkarni, Nikhil S. Dharane, Akshay U. Bhawthankar, A. A. Deshmukh |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
International Journal of Computer Applications. 117:26-30 |
| ISSN: |
0975-8887 |
| DOI: |
10.5120/20641-3339 |
| Popis: |
The cloud is becoming an important service in internet computing. Infrastructure as a Service provides on-demand virtual machines to users. Load balancing plays an important role in the deployment of virtual machines onto physical hosts. Resource requirement of virtual machine is hard to predict. Thus to deal with this issue, lots of load balancing methods are present. So in this paper we discuss these load balancing methods to provide overview of latest approaches in IaaS. Different load balancing methods have different parameters. So, we compared them on the basis of parameters used for their method. We have proposed our own load balancing method after comparing all available methods. In our proposed method, we first use load forecasting to know load on hosts. Then on the basis of threshold value we have to migrate VMs to another host. If load is below or higher then we have to shut down or migrate VM respectively. So, by using load forecasting we are trying to overcome drawbacks of existing load balancing methods. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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