AERO: Adaptive Edge-Cloud Orchestration With a Sub-1K-Parameter Forecasting Model

Effective resource management in edge-cloud networks is crucial for meeting Quality of Service (QoS) requirements while minimizing operational costs. However, dynamic and fluctuating workloads pose significant challenges for accurate workload prediction and efficient resource allocation, particularl...

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Үндсэн зохиолчид:	Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Transactions on Machine Learning in Communications and Networking
Нөхцлүүд:	Edge computing cloud-edge orchestration adaptive resource management lightweight forecasting models workload prediction dynamic periodicity detection
Онлайн хандалт:	https://ieeexplore.ieee.org/document/10935743/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!