Rule-Based Resource Matchmaking for Composite Application Deployments across IoT-Fog-Cloud Continuums

Josef Spillner, Panagiotis Gkikopoulos, Alina Buzachis, M. Villari
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引用次数: 2

Abstract

Where shall my new shiny application run? Hundreds of such questions are asked by software engineers who have many cloud services at their disposition, but increasingly also many other hosting options around managed edge devices and fog spectrums, including for functions and container hosting (FaaS/CaaS). Especially for composite applications prevalent in this field, the combinatorial deployment space is exploding. We claim that a systematic and automated approach is unavoidable in order to scale functional decomposition applications further so that each hosting facility is fully exploited. To support engineers while they transition from cloud-native to continuum-native, we provide a rule-based matchmaker called RBMM that combines several decision factors typically present in software description formats and applies rules to them. Using the MaestroNG orchestrator and OsmoticToolkit, we also contribute an integration of the matchmaker into an actual deployment environment.
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物联网-雾云连续体复合应用部署的基于规则的资源匹配
我的新闪亮应用程序将在哪里运行?拥有许多云服务的软件工程师提出了数百个这样的问题,但围绕管理边缘设备和雾频谱的其他托管选项也越来越多,包括功能和容器托管(FaaS/CaaS)。特别是对于这个领域中流行的组合应用程序,组合部署空间正在爆炸式增长。我们声称,为了进一步扩展功能分解应用程序,以便充分利用每个托管设施,系统和自动化的方法是不可避免的。为了支持工程师从云原生到连续原生的过渡,我们提供了一个基于规则的配对器,称为RBMM,它结合了软件描述格式中通常存在的几个决策因素,并将规则应用于它们。使用MaestroNG编排器和OsmoticToolkit,我们还将matchmaker集成到实际的部署环境中。
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