Quality of Experience (QoE)-aware placement of applications in Fog computing environments
Quality of Experience (QoE)-aware placement of applications in Fog computing environments
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DOI：
10.1016/j.jpdc.2018.03.004
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发表时间：
2019-10-01
影响因子：
3.8
通讯作者：
Buyya, Rajkumar
中科院分区：
文献类型：
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作者：
Mahmud, Redowan;Srirama, Satish Narayana;Buyya, Rajkumar
雾计算旨在在网络边缘提供类似云的服务，以支持具有低延迟响应要求的物联网（IoT）应用。计算实例的层次性、分布式和异构性使得在Fog中放置应用程序成为一项具有挑战性的任务。多样化的用户期望和物联网设备的不同功能也加剧了应用程序放置问题。基于用户期望将应用放置到兼容的雾实例可以增强关于系统服务的体验质量（QoE）。在本文中，我们提出了一个QoE感知的应用程序放置策略，根据用户的期望，优先考虑不同的应用程序放置请求，并计算雾实例考虑其当前状态的能力。在雾计算环境中，它还有助于将应用放置到合适的雾实例，使得用户QoE在实用程序访问、资源消耗和服务交付方面最大化。通过使用iFogSim模拟雾环境来评估所提出的策略。实验结果表明，该策略显著改善了数据处理时间、网络拥塞、资源可承受性和服务质量。(C)2018爱思唯尔公司All rights reserved.
Fog computing aims at offering Cloud like services at the network edge for supporting Internet of Things (loT) applications with low latency response requirements. Hierarchical, distributed and heterogeneous nature of computational instances make application placement in Fog a challenging task. Diversified user expectations and different features of loT devices also intensify the application placement problem. Placement of applications to compatible Fog instances based on user expectations can enhance Quality of Experience (QoE) regarding the system services. In this paper, we propose a QoE-aware application placement policy that prioritizes different application placement requests according to user expectations and calculates the capabilities of Fog instances considering their current status. In Fog computing environment, it also facilitates placement of applications to suitable Fog instances so that user QoE is maximized in respect of utility access, resource consumption and service delivery. The proposed policy is evaluated by simulating a Fog environment using iFogSim. Experimental results indicate that the policy significantly improves data processing time, network congestion, resource affordability and service quality. (C) 2018 Elsevier Inc. All rights reserved.