Security-Aware Energy Management in Clouds
Security-Aware Energy Management in Clouds
复制标题
DOI：
10.1109/tps-isa50397.2020.00044
复制
发表时间：
2020-10
期刊：
影响因子：
--
通讯作者：
Jianzhou Mao;T. Cao;Xiaopu Peng;T. Bhattacharya;Wei-Shinn Ku;X. Qin
中科院分区：
文献类型：
--
作者：
Jianzhou Mao;T. Cao;Xiaopu Peng;T. Bhattacharya;Wei-Shinn Ku;X. Qin
互联网上的云计算显示了以具有成本效益的方式向消费者提供具有极大灵活性的按需服务的巨大潜力。云计算中的安全问题以及资源分配仍然是业界和学术界需要解决的一个具有挑战性的问题。在分布式计算环境中，随着按需服务和资源池概念的发展，安全性是这一新的计算能力梦想的主要障碍。与此同时，节能的网络基础设施的研究是非常重要的服务提供商，网络管理员和设备制造商。在本文中，我们阐述了新的能源感知调度策略，迎合了云上运行的虚拟机，其中服务水平协议（SLA）的履行。在解决了云计算中的安全问题之后，我们主张制定一个研究路线图，以实现未来云计算中的安全感知能源管理。我们提出了一个高层次的设计，安全和频率件DVFS模型或SF-DVFS，编排安全服务，安全开销分析，DVFS控制绿色云计算系统。我们深入研究了与拟议的SF-DVFS模型相关的主要技术挑战。我们期望本文将为未来节能云计算平台的安全研究开辟令人兴奋的前景。
Cloud computing over the Internet reveals a remarkable potential to provide on-demand services to consumers with great flexibility in a cost-effective manner. Security issues coupled with resource allocations in cloud computing remain a challenging problem to be tackled by the industry and academia. While moving towards the concept of on-demand services and resource pooling in a distributed computing environment, security is a major obstacle for this new dreamed vision of computing capability. At the same time, the research on energy-efficient networking infrastructures is of great importance for service providers, network administrators, and equipment manufacturers. In this paper, we articulate novel energy-aware scheduling policies catered for virtual machines running on clouds, in which service-level agreements (SLAs) are fulfilled. After addressing security concerns in cloud computing, we advocate for a research roadmap towards future security-aware energy management in clouds. We propose a high-level design for a security- and frequency-ware DVFS model or SF-DVFS, which orchestrates security services, security overhead analysis, and DVFS control green cloud computing systems. We delve into the main technical challenges associated with the proposed SF-DVFS model. We expect that this paper will open exciting perspectives for future security research in energy-efficient cloud computing platforms.