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Enhancing Trust of Cloud Services and Federation of Multi Cloud Infrastructures for Provisioning Reliable Resources

机译:增强对多云基础架构联合的信任,以供应可靠的资源

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Cloud computing is a new methodology that is used in several organizations and enterprises. It supports immediate provisioning of network access and also shares data to a pool of computing resources on the basis of paying for resource usage. In today trend, providing trust resources has become a problem but it is not a technical issue. Perhaps the technology can enhance trust, reliability, credibility and surety in internet services. In order to increase the use of Web and cloud services, cloud service providers must first enhance trust and security among the enormous amount of users. These issues are addressed by a reputation-based trustmanagement scheme augmented with trust broker, hybrid and adaptive credibility model, maximizing deviation method, cloud security framework. Trust broker serves as middleware which lies between operating system and applications and it is user effectively matching trusted service resources. Using hybrid trust computing model can calculate the trust degree of service resources and adaptive credibility model that differentiates between credible trust feedbacks and malicious and vulnerable feedbacks. Maximizing deviation method can gain users experiences on using the services by direct interaction and networking risk can be reduced rigorously and efficiency of the system can be improved using light weight mechanism.
机译:云计算是在若干组织和企业中使用的新方法。它支持立即配置网络访问,并在支付资源使用情况下将数据与计算资源池共享到计算资源池。在今天的趋势中,提供信任资源已成为一个问题,但它不是技术问题。也许这项技术可以提高互联网服务中的信任,可靠性,可信度和保证。为了增加网络和云服务的使用,云服务提供商必须首先增强巨额用户之间的信任和安全性。这些问题由基于信誉的信任的信任计划来解决了信任经纪人,混合和自适应信誉模型,最大化偏差方法,云安全框架。信任经纪人用作中间件,位于操作系统和应用程序之间,并且用户有效地匹配可信服务资源。使用混合信任计算模型可以计算差别可信信任反馈和恶意和易受攻击的反馈之间的服务资源和自适应信誉模型的信任程度。最大化偏差方法可以通过直接相互作用,通过直接交互来获得用户使用服务的经验,并且可以使用重量级机制来改善系统的严格和系统的效率。

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