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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项目 发表于 2025-3-29 00:25:43
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 objectiveBadger 发表于 2025-3-29 05:36:46
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惊呼 发表于 2025-3-29 07:52:09
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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 effHACK 发表于 2025-3-29 18:40:15
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