Service Orchestration in Fog Environments

Karima Velasquez, D. Abreu, Diogo M. Gonçalves, L. Bittencourt, M. Curado, E. Monteiro, E. Madeira
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引用次数: 45

Abstract

A new era of automated services has permeated user's daily lives thanks to paradigms such as Smart City and the Internet of Things. This shift from traditional applications is possible due to the massive amount of heterogeneous devices that constitute the Internet of Things. To provide newly improved characteristics to these services, such as mobility support, high resilience, and low latency, an extension to the Cloud computing paradigm was created, called Fog computing, which brings processing and storage resources towards the edge of the network, in the vicinity of the Internet of Things environment. This scenario implies a higher complexity level needed to coordinate available resources and how applications and services use them. Although some solutions have been proposed for the Cloud, several characteristics differentiate the Cloud from the Fog, creating the need for new mechanisms for the coordination of resources, applications, and services in the Fog. This paper explains the challenges present in the Fog that call for new mechanisms to later propose an architecture to manage resources in the Fog using a hybrid approach. In the Internet of Things and South-Bound Fog Levels, a distributed management of applications and services is proposed applying choreography techniques to enable automated fast decision making. A centralized approach to orchestrate applications and services taking advantage of a global knowledge of the resources available in the network is suggested for the North-Bound Fog and Cloud Levels.
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雾环境中的服务编排
随着智慧城市、物联网等范例的出现,自动化服务的新时代已经渗透到用户的日常生活中。由于构成物联网的大量异构设备,这种从传统应用的转变成为可能。为了向这些服务提供新的改进特性,如移动性支持、高弹性和低延迟,云计算范式的扩展被创建,称为雾计算,它将处理和存储资源带到网络边缘,在物联网环境附近。此场景意味着需要更高的复杂性来协调可用资源以及应用程序和服务如何使用它们。尽管已经为云提出了一些解决方案,但有几个特征将云与雾区分开来,这就需要在雾中协调资源、应用程序和服务的新机制。本文解释了Fog中存在的挑战,这些挑战需要新的机制来提出一种架构,以便使用混合方法管理Fog中的资源。在物联网和南向雾级中,提出了应用编排技术实现应用程序和服务的分布式管理,以实现自动化的快速决策。建议采用一种集中的方法,利用网络中可用资源的全局知识来编排应用程序和服务,用于北向雾和云级别。
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