{"ID":2841040,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.12667","arxiv_id":"2511.12667","title":"Artifact for A Non-Intrusive Framework for Deferred Integration of Cloud Patterns in Energy-Efficient Data-Sharing Pipelines","abstract":"As data mesh architectures grow, organizations increasingly build consumer-specific data-sharing pipelines from modular, cloud-based transformation services. While reusable transformation services can improve cost and energy efficiency, applying traditional cloud design patterns can reduce reusability of services in different pipelines. We present a Kubernetes-based tool that enables non-intrusive, deferred application of design patterns without modifying services code. The tool automates pattern injection and collects energy metrics, supporting energy-aware decisions while preserving reusability of transformation services in various pipeline structures.","short_abstract":"As data mesh architectures grow, organizations increasingly build consumer-specific data-sharing pipelines from modular, cloud-based transformation services. While reusable transformation services can improve cost and energy efficiency, applying traditional cloud design patterns can reduce reusability of services in di...","url_abs":"https://arxiv.org/abs/2511.12667","url_pdf":"https://arxiv.org/pdf/2511.12667v1","authors":"[\"Sepideh Masoudi\",\"Mark Edward Michael Daly\",\"Jannis Kiesel\"]","published":"2025-11-16T16:05:35Z","proceeding":"cs.DC","tasks":"[\"cs.DC\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}