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Towards a proper service placement in combined Fog-to-Cloud (F2C) architectures

机译：努力在雾化云（F2C）组合架构中正确放置服务

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The Internet of Things (loT) has empowered the development of a plethora of new services, fueled by the deployment of devices located at the edge, providing multiple capabilities in terms of connectivity as well as in data collection and processing. With the inception of the Fog Computing paradigm, aimed at diminishing the distance between edge-devices and the IT premises running loT services, the perceived service latency and even the security risks can be reduced, while simultaneously optimizing the network usage. When put together, Fog and Cloud computing (recently coined as fog-to-cloud, F2C) can be used to maximize the advantages of future computer systems, with the whole greater than the sum of individual parts. However, the specifics associated with cloud and fog resource models require new strategies to manage the mapping of novel loT services into the suitable resources. Despite few proposals for service offloading between fog and cloud systems are slowly gaining momentum in the research community, many issues in service placement, both when the service is ready to be executed admitted as well as when the service is offloaded from Cloud to Fog, and vice-versa, are new and largely unsolved. In this paper, we provide some insights into the relevant features about service placement in F2C scenarios, highlighting main challenges in current systems towards the deployment of the next-generation loT services. (C) 2018 Elsevier B.V. All rights reserved.
机译：物联网（loT）推动了许多新服务的开发，这得益于位于边缘的设备的部署，在连接性以及数据收集和处理方面提供了多种功能。随着Fog Computing范式的出现，旨在减少边缘设备与运行loT服务的IT场所之间的距离，可以减少感知的服务延迟甚至安全风险，同时优化网络使用。如果将雾计算和云计算（最近称为雾云，F2C）放在一起，可以用来最大化未来计算机系统的优势，其整体大于各个部分的总和。但是，与云和雾资源模型相关联的细节需要新的策略来管理将新颖的loT服务映射到合适的资源中。尽管很少有关于在雾和云系统之间进行服务分流的建议在研究社区中逐渐兴起，但是在服务准备就绪时以及在将服务从云分流到雾时以及反之亦然，这是新事物，并且在很大程度上尚未解决。在本文中，我们对F2C场景中有关服务放置的相关功能提供了一些见解，重点介绍了当前系统对部署下一代loT服务的主要挑战。 （C）2018 Elsevier B.V.保留所有权利。

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