Cloud services are rapidly increasing. We usually use only one cloud service. However, today costs of using cloud service become lower, so we can use multiple cloud services simultaneously. In these environments, there appear possibilities to improve confidentiality and availability by using multiple hetero cloud services. Based on a "secret sharing scheme," a new approach to attain extremely high confidentiality and high availability at reasonable cost is proposed. With this approach, multiple optimal clouds for storage are dynamically determined in accordance with each file and cloud SLA (service level agreement). Furthermore, the reliability of the proposed approach is quantitatively demonstrated by using an evaluation model in the case of homo cloud services.
Cloud services are becoming more popular and as their price has been decreasing, the opportunity to use them has been increasing. However, it has become difficult to select optimal cloud services from many services. This paper proposes an approach to dynamically selecting optimal cloud services to store data in heterogeneous-multi-cloud environments, which we evaluated by using a secret sharing scheme. The results indicated that it is possible to select the best services from the proposed model in heterogeneousmulti-cloud environments.
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