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Conclusion and Future Works
It's becoming a trend for enterprises to adopt PoI. In summary, PoI has many advan-
tages on the flexibility, reliability and cost-efficiency. In this paper, a QoS guaranteed
and cost-efficient resource management framework in PoI is proposed. The frame-
work is composed of a feedback control system and two scaling algorithms. Experi-
mental results show that the resource management framework can not only maintain
Missed Deadline Ratio of all applications at an expected value, but also improve the
CPU Utilization of all applications around an expected value. According to experi-
mental results, it can be found that Time Usage of VMs has negative correlation with
the Set Point of Missed Deadline Ratio, the Set Point of CPU Utilization and VM
Safe Threshold.
In this paper, the resource management framework is designed based on a relative-
ly simplified IaaS Layer, e.g., the action of renting and returning VMs can be finished
immediately. However this assumption usually does not hold true. For example,
Amazon Elastic Compute Cloud (Amazon EC2), an IaaS provider, charges on hourly
basis, which makes it impossible to return VMs to IaaS providers immediately. In the
future, a more practical abstraction of IaaS Layer will be involved, e.g., the potential
delay in renting and returning VMs needs to be taken into account.
References
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