Cloud Bank Model Research Articles

Dynamic Pricing Strategy and Optimal Resource Selection Strategy Based on Credibility Model

With the gradual development of Cloud Computing, the model of work and business will fundamentally change in the future. Current market trading mechanism under the cloud computing environment is lacking in flexibility and most of companies adopt a fixed-rate pricing model, which is difficult to meet the different needs of users. Based on cloud bank model, this paper introduces economic theory to provide a theoretical basis for the development of resource prices and propose a dynamic pricing strategy and maximize utility resource selection strategy based on market supply and demand and credit for cloud bank. In the last part of this paper, we use simulation platform to do a simple experiment to test this dynamic pricing strategy. Experiment result shows the pricing strategy could adjust computing resource prices automatically under the general market price rule conditions and maximize utility resource selection strategy could get the max utility for resource consumers.

Banking Theory Based Distributed Resource Management and Scheduling for Hybrid Cloud Computing

Cloud computing is becoming more and more mature, and an IaaS could computing model called Cloud Bank [, which is based on commercial bank model, has been designed. Could Bank model can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. This new model cloud offers new way to manage resource consumer, bank, and resource provider and maximize all participants benefits. Meanwhile, the new cloud bank model follows the way of commerce bank to against the risk during the transaction. This model may be new solutions for hybrid cloud computing management.

An Approach for Cloud Resource Risk Prediction

The resource risk management is a key issue in cloud computing, which is directly related to the reliability and security of the cloud computing platform. In the cloud bank model [1], almost all resources come from messes of cloud resource providers, who are distributed on the Internet. This feature caused some special resource risk types that didn‘t occur in the enterprise private cloud, such as the resource default risk caused by people or machines. Analyzed the features of cloud computing and the cloud bank model, this paper delivers a cloud resource risk prediction model, which is based on mathematical statistics. This method advances the risk management strategy from the accident response to the beforehand prediction.