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Authors
Verginadis, Yiannis; Sarros, Christos-Alexandros; Reyes de Los Mozos, Mario; Veloudis, Simeon; Piliszek,Radosław; Kourtellis, Nicolas; Horn, Geir
Abstract
Cloud Continuum is the paradigm that unifies and exploits resources from far edge to public and private cloud offerings, as well as processing nodes with significant capacity in between. Nowadays, the combination of all these resources for augmenting modern hyper-distributed applications becomes a necessity, especially considering the vast volumes of data, their velocity, and their variety, which constitute well known challenges of Big Data processing. In this paper, we address the main research question on how a Cloud Continuum management platform should be structured to cope with the constantly increasing challenges and opportunities of the domain. We introduce the NebulOuS architecture vision towards accomplishing substantial research contributions in the realms of Cloud Continuum brokerage. We propose an advanced architecture that enables secure and optimal application provisioning, as well as reconfiguration over the Cloud Continuum. NebulOuS introduces a novel MetaOperating System and platform, that is currently being developed, for enabling transient Cloud Continuum brokerage ecosystems that seamlessly exploit edge and fog nodes, in conjunction with multi-cloud resources, to cope with the requirements posed by low latency applications.
Authors
Andreas Tsagkaropoulos; Yiannis Verginadis; Gregoris Mentzas
Abstract
Cloud services and applications become ever more important for enterprises, which profit from the advantages of scalability, flexibility and the pay-as-you-go model which are offered by Cloud service vendors. One of the most well-known standards in the domain, which have been developed about ten years ago, is the TOSCA cloud application specification. TOSCA allows the definition of the structure and operation of cloud applications. Although considerable work has been done before in the specification of monitoring and elasticity – of which a thorough analysis is provided – its quality and its integration in TOSCA can be significantly improved. In this work we suggest specific extensions covering the monitoring of processing components and the elasticity policies which are associated with them. Indicative TOSCA examples are provided to aid comprehension.
Authors
Marta Różańska; Geir Horn
Abstract
Autonomic decisions are necessary for persistent Cloud application adaptation due to dynamic execution context and changing workload. However, it is often difficult to accurately model the utility to represent the application owner’s preferences as a mathematical function linking the utility with the monitored information from the application. We propose a systematic approach for utility function modelling for adaptive applications in the Cloud continuum. This method exploits a set of utility function templates, automated quality checks, and the impact of measurements and performance indicators values on the utility value range. The method is evaluated with an illustrative example of a Cloud application that is compared to an existing manually modelled utility function.
Authors
Moritz von Stietencron; Amir Azimian; Jan-Frederik Uhlenkamp; Johannes Gust; Karl Hribernik
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