Name
Abstract | ||
|---|---|---|
Federated cloud emerges recently to overcome resource limitation of IaaS providers by federating different cloud resources which belong to separate organizations. The main objective of IaaS providers is to obtain maximal profits and guarantee QoS requirements of customers at the same time. In this paper, we propose a cooperative game algorithm that helps the resource allocation decision-making process with a flexible resource amount of the total federation. This algorithm also takes the QoS constraints into account and provides two different approaches for cost-sensitive or time-sensitive customers. Simulation results show that the proposed algorithm improves various QoS requirements and increases the satisfaction level of customer's requests. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IMIS.2013.53 | IMIS |
Keywords | Field | DocType |
time-sensitive customers,iaas provider,qos requirement,different cloud resource,customer request,qos requirement guarantee,resource limitation,quality of service,federated cloud,cooperative game,cooperative game algorithm,resource allocation,various qos requirement,qos-constrained resource allocation game,game theory,qos,customer satisfaction,cost-sensitive customers,proposed algorithm,iaas providers,flexible resource amount,resource allocation decision-making process,cloud computing,qos constraint,cloud resource federation,outsourcing,resource management,games,registers | Cloud resources,Customer satisfaction,Computer science,Quality of service,Computer network,Resource allocation,Game theory,Profit (economics),Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu Xin | 1 | 1 | 0.70 |
| Huiqun Yu | 2 | 191 | 36.27 |
| Xinyu Cong | 3 | 1 | 0.36 |