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SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Indika Kumara, Paul Mundt, Kamil Tokmakov, Dragan Radolović, Alexander Maslennikov, Román Sosa González, Jorge Fernández-Fabeiro, Giovanni Quattrocchi, Kalman Meth, Elisabetta Di Nitto, Damian A. Tamburri, Willem‐Jan van den Heuvel, Γεώργιος Μεδίτσκος

2021Journal of Grid Computing25 citationsDOIOpen Access PDF

Abstract

Abstract IoT-based applications need to be dynamically orchestrated on cloud-edge infrastructures for reasons such as performance, regulations, or cost. In this context, a crucial problem is facilitating the work of DevOps teams in deploying, monitoring, and managing such applications by providing necessary tools and platforms. The SODALITE@RT open-source framework aims at addressing this scenario. In this paper, we present the main features of the SODALITE@RT : modeling of cloud-edge resources and applications using open standards and infrastructural code, and automated deployment, monitoring, and management of the applications in the target infrastructures based on such models. The capabilities of the SODALITE@RT are demonstrated through a relevant case study.

Topics & Concepts

SodaliteComputer scienceCloud computingDevOpsContext (archaeology)Software deploymentEnhanced Data Rates for GSM EvolutionDistributed computingSoftware engineeringOperating systemTelecommunicationsBiologyCatalysisBiochemistryPaleontologyChemistryZeoliteCloud Computing and Resource ManagementIoT and Edge/Fog ComputingSoftware System Performance and Reliability
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