Name
Title | ||
|---|---|---|
Cost-Aware Automatic Virtual Machine Scaling in Fine Granularity for Cloud Applications |
Abstract | ||
|---|---|---|
It is a tendency for enterprises to deploy their applications on Infrastructure as a Service (IaaS) platforms. Many latest IaaS service providers offer Virtual Machine (VM) instances with various capacities and prices by the minute. In this paper, based on the observation that the workload of nowaday applications fluctuates frequently, we propose a cost-aware automatic VM scaling method of fine granularity to satisfy the Service Level Agreement (SLA) and minimize the rent of VMs down to the minute. In the environment with sporadic and sharp swings of workload, our approach acts quickly to get suitable VM scaling scheme to stabilize the response time, reduce the SLA violations and save the rent of VM usage. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CyberC.2013.26 | CyberC |
Keywords | Field | DocType |
contracts,cost-aware automatic vm scaling,iaas service providers,latest iaas service provider,response time,fine granularity,cost-aware automatic virtual machine scaling,infrastructure as a service,nowaday application,virtual machine,cloud applications,sla violation,sla violations,suitable vm scaling scheme,virtual machines,cloud computing,cost-aware automatic virtual machine,cost-aware criteria,virtual machine scaling,service level agreement,vm usage,vm scaling scheme | Virtual machine,Computer science,Service-level agreement,Computer network,Response time,Real-time computing,Granularity,Genetic algorithm,Distributed computing,Workload,Service provider,Operating system,Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.35 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| He Zhao | 1 | 38 | 13.09 |
| Chenglei Peng | 2 | 18 | 6.78 |
| Yao Yu | 3 | 104 | 11.90 |
| Yu Zhou | 4 | 1 | 0.35 |
| Ziqiang Wang | 5 | 11 | 1.21 |
| Sidan Du | 6 | 314 | 31.20 |