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Security Aspects in Resource Management Systems in Distributed Computing Environments

机译:分布式计算环境中资源管理系统中的安全性方面

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In many distributed computing systems, aspects related to security are getting more and more relevant. Security is ubiquitous and could not be treated as a separated problem or a challenge. In our opinion it should be considered in the context of resource management in distributed computing environments like Grids and Clouds, e.g. scheduled computations can be much delayed because of cyber-attacks, inefficient infrastructure or users valuable and sensitive data can be stolen even in the process of correct computation. To prevent such cases there is a need to introduce new evaluation metrics for resource management that will represent the level of security of computing resources and more broadly distributed computing infrastructures. In our approach, we have introduced a new metric called reputation, which simply determines the level of reliability of computing resources from the security perspective and could be taken into account during scheduling procedures. The new reputation metric is based on various relevant parameters regarding cyber-attacks (also energy attacks), administrative activities such as security updates, bug fixes and security patches. Moreover, we have conducted various computational experiments within the Grid Scheduling Simulator environment (GSSIM) inspired by real application scenarios. Finally, our experimental studies of new resource management approaches taking into account critical security aspects are also discussed in this paper.
机译:在许多分布式计算系统中,与安全性相关的方面越来越重要。安全无处不在,不能被视为单独的问题或挑战。我们认为应该在诸如网格和云等分布式计算环境中的资源管理的上下文中考虑。由于网络攻击,低效的基础架构或用户宝贵的敏感数据甚至在正确的计算过程中也可能被盗,因此计划的计算可能会大大延迟。为了防止此类情况,需要引入新的资源管理评估指标,这些指标将代表计算资源和更广泛分布的计算基础结构的安全级别。在我们的方法中,我们引入了一个称为信誉的新指标,该指标仅从安全角度确定了计算资源的可靠性级别,并且可以在调度过程中予以考虑。新的信誉指标基于有关网络攻击(也包括能源攻击),管理活动(例如安全更新,错误修复和安全补丁)的各种相关参数。此外,我们已经在网格调度模拟器环境(GSSIM)中进行了各种计算实验,这些实验是受实际应用场景启发的。最后,本文还讨论了考虑到关键安全性方面的新资源管理方法的实验研究。

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