Titlebook: Cloud Computing and Services Science; 12th International C Maarten van Steen,Donald Ferguson,Claus Pahl Conference proceedings 2024 The Edi

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Agents and Artificial Intelligenceer of this change is virtualisation, which allows computing resources to be deployed on a large scale. However, traditional DCs, with their network topology and proliferation of network endpoints, are struggling to meet the flexible, centrally managed requirements of cloud computing applications. So

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Daniel Michulke,Stephan Schiffelxtensible, customisable and open-access tools, featuring control over monitoring tasks and configurations, probabilistic representation of measured performance, and declarative description of setups. In this article, we present an open-source monitoring prototype that targets all the above objective

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Lecture Notes in Computer Scienceration and orchestration challenges arising when building hybrid applications, a quantum-specific workflow modeling extension was introduced. However, it lacks support for state-of-the-art techniques that have emerged in recent years, e.g., circuit cutting and warm-starting. As the usage of these co

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Agents and Artificial Intelligenceeriments on the self-healing approach for misconfigurations that adopt a Markov Decision Process to determine the optimal recovery action or policy that maximizes performance metrics. The experiments conducted are an improvement on our previous self-healing approach. Our findings demonstrate the eff

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Fadel Adoe,Yingke Chen,Prashant Doshigeo-distributed Cloud-to-Edge environments. Kubernetes is today the de-facto standard for container orchestration on Cloud data centers. However, its static container scheduling strategy is not suitable for the placement of complex and distributed microservices-based applications on Edge environment