2 research outputs found

    A MAS-Based Cloud Service Brokering System to Respond Security Needs of Cloud Customers

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    Cloud computing is becoming a key factor in computer science and an important technology for many organizations to deliver different types of services. The companies which provide services to customers are called as cloud service providers. The cloud users (CUs) increase and require secure, reliable and trustworthy cloud service providers (CSPs) from the market. So, it’s a challenge for a new customer to choose the highly secure provider. This paper presents a cloud service brokering system in order to analyze and rank the secured cloud service provider among the available providers list. This model uses an autonomous and flexible agent in multi-agent system (MASs) that have an intelligent behavior and suitable tools for helping the brokering system to assess the security risks for the group of cloud providers which make decision of the more secured provider and justify the business needs of users in terms of security and reliability

    A Broker Framework for Secure and Cost-Effective Business Process Deployment on Multiple Clouds

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    International audienceSecurity risk management on information systems provides security guarantees while controlling costs. But security risk assessments can be very complex, especially in a cloud context where data is dis-tributed over multiple environments. To prevent costs from becoming the only cloud selection factor, while disregarding security, we propose a method for performing multiple cloud security risk assessments. In this paper we present a broker framework for balancing costs against security risks. Our framework selects cloud offers and generates deployment-ready business processes in a multi-cloud environment
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