Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-Performance Computational Data Pipelines

B. Kryza R. Słota Łukasz Dutka X. −866 Jacek Kitowski J. Aznar-Poveda Thomas Fahringer Ines Ortega-Fernandez Iago Abad Stefan Dlugolinský Martin Bobák L. Hluchý Igor Škrlec Peter Kišša
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.

DOI Semantic Scholar
View source

Similar papers

Aug 2026

Multi-application operator placement in cloud-edge infrastructure for big data stream processing

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. · 1 citation
Review Open access 2025

Edge Computing Architectures for Ultra-Low Latency Applications

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 · 0 citations
Jul 2026

A Cloud Continuum Research Infrastructure for Distributed CPS Experimentation

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. · 0 citations
Open access 2025

Autonomous Data Fabric Architectures for Enterprise-Wide Intelligent Computing

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 · 0 citations
Open access 2020

Cloud-Native Data Pipelines for Enterprise Analytics

Cloud native data pipelines have become an enabling ingredient of the modern enterprise analytics to fulfill the ever-increasing demand of a scale-loving, resilient, and real-time processing of a wide range of data sources. Organizations currently produce large amounts of structured, semi-structured, and unstructured d...

Ethan Williams · 0 citations
Conference Jul 2026

Adaptive Migration–Driven Cloud and Big-Data Enablement for Secure and Scalable SME Analytics

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.