Abstract | ||
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Cloud providers sell identically configured virtual machines (VMs) for the same price. Customers purchasing these VMs expect that they perform similarly and are allocated the same amount of virtual resources. In practice, however, the real performance of identically provisioned VMs depends on the underlying hardware, i.e., how the hardware is configured, and how much shared resources are consumed by co-located VMs. As workloads often have different resource requirements (e.g., CPU or disk I/O bound), a physical machine can be a better host to one VM than another, and swapping the locations of the two VMs can improve the performance (or any other metrics) of both VMs. However, cloud providers are unlikely to offer a VM swapping service since it is a tacit admission of providing different quality of services while charging the same rate. We propose, VBoom, a cloud provider-agnostic system in which VMs can dynamically relocate themselves (via location swapping) in a cloud environment if the new location better serves the needs of the VM. We discuss technical and business benefits and challenges in building such a system. When location matters, we believe that through VBoom, real estate of virtual machines can be established in a completely market-driven fashion. |
Year | DOI | Venue |
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2013 | 10.1109/IC2E.2013.19 | IC2E |
Keywords | Field | DocType |
location matter,new location,vm swapping service,identically provisioned vms,virtual machine,quality of service,cloud provider-agnostic system,virtual machine real estate boom,virtual resource,location swapping,virtual machines,vboom,resource management,virtual machine real estate,cloud provider,cloud environment,cloud market,cloud computing,better host,co-located vms,throughput,interference,benchmark testing,economics | Resource management,Real estate,Virtual machine,Computer science,Quality of service,Provisioning,Purchasing,Benchmark (computing),Operating system,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-4673-6473-7 | 0 | 0.34 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kyung-Hwa Kim | 1 | 8 | 1.94 |
Hai Huang | 2 | 12 | 1.56 |
Salman Baset | 3 | 69 | 9.66 |
Chunqiang Tang | 4 | 1287 | 75.09 |