Name
Abstract | ||
|---|---|---|
Reduction in data center energy consumption is a constant motivation for IaaS providers. Among all components, CPU appears as a main energy consumer. Although there is a strong relationship between CPU load and its energy consumption, pricing models of popular IaaS providers do not consider this information as a primary and variable element. This paper quantifies the relationship by identifying the individual consumption of virtual CPUs, which form the basis for an allocation cost model. The proposed model, termed Virtual Power, is faced with Amazon EC2 pricing model pointing a cost reduction for IaaS provider and a proportional sharing between users. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/S10723-018-9440-8 | J. Grid Comput. |
Keywords | Field | DocType |
IaaS, Virtual machines, Cost, Model, Energy | Virtual machine,Computer science,Proportional sharing,Real-time computing,Cpu load,Energy consumption,Data center,Cost reduction,Distributed computing | Journal |
Volume | Issue | ISBN |
16 | 3 | 978-85-7669-317-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Hinz | 1 | 2 | 0.70 |
| Charles Miers | 2 | 15 | 5.57 |
| Maurício Aronne Pillon | 3 | 7 | 7.59 |
| Guilherme Koslovski | 4 | 56 | 11.30 |