2026· International Conference on Conceptual Structures· pp. 535-550· 0 citations· 21 references
Computer Science
TL;DR
This paper presents an architecture for data management and I/O provisioning that supports the execution of high-performance data pipelines across the cloud–edge continuum and combines federated data management, intelligent data placement, and continuum-aware resource orchestration within a unified platform.
A resource-aware multi-application operator placement method that optimizes both end-to-end latency and network usage, while meeting QoS constraints and application owners’ preferences in heterogeneous cloud-edge environments is proposed.
Simin Ghasemi-Falavarjani, B. S. Ghahfarokhi, M. Nematbakhsh et al.· Cluster Computing· 1 citation
The study concludes that intelligent edge computing architectures will play a vital role in supporting future real-time applications and next-generation 6G-enabled digital ecosystems.
Alan Bundy· International Journal of Mod...· 0 citations
The proposed approach separates the research-infrastructure layer, which exposes and manages distributed resources, from the application layer, where Cyber-Physical workflows are organized according to an Edge-Fog-Cloud pattern in which placement, timing, and data provenance are treated as first-class experimental conc...
Fabio Orazio Mirto, Giuseppe Tricomi, L. D’Agati et al.· arXiv.org· 0 citations
An Autonomous Data Fabric architecture that combines AI/ML, metadata-driven automation, knowledge graphs, intelligent orchestration, and policy-based governance to enable seamless, self-managing enterprise data ecosystems is proposed.
Narendra Karmarkar· International Journal of Dat...· 0 citations
An organized approach to the design and deployment of cloud-native data pipelines with the inclusion of data quality management, security controls, observability, and cost optimization is suggested, and throughput, latency and scalability modeling mathematical formulations are proposed in order to facilitate capacity p...
Ethan Williams· International Journal of App...· 0 citations
Centralized data operations are often using in Small and medium-sized enterprises (SMEs) for easy data management, but there suffering from few limitations like cloud platform integration with bigdata yet many still face difficulties integrating cloud platforms with big-data capabilities in a scalable and governed mann...
B. Madhu Uthej, Dudde Lohith, Atluru Sai Charan Reddy et al.· 2026 7th International Confe...· 0 citations
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