This paper discusses how CloudWeaver scopes the context of individual agent sessions with local views of cloud resources and coordinates concurrent management operations on shared cloud resources, and offers strong safety guarantees and attributable feedback in the presence of conflicting intents, while preserving concurrency between independent operations.
Abstract
Agentic cloud management is emerging as a practice to automate laborious operations, minimize toil, and improve responsiveness. Despite the rapid development of autonomous management agents, we argue that the fundamental missing piece is a systems foundation to enable safe, effective operations across agents and between agents and human operators. In this paper, we advocate for the need of such a systems foundation and share our efforts on developing CloudWeaver, an agentic management substrate that works across existing cloud-user interfaces and future agent-native interfaces. Specifically, we discuss how CloudWeaver (1) scopes the context of individual agent sessions with local views of cloud resources and (2) coordinates concurrent management operations on shared cloud resources. CloudWeaver offers strong safety guarantees and attributable feedback in the presence of conflicting intents, while preserving concurrency between independent operations. We validate CloudWeaver using a representative Azure API workload.
This paper presents a hierarchical, dynamic architecture and software to discover resources across diverse cloud, edge, and HPC systems and exemplifies the importance of careful coordination between agents, discovery tools, and infrastructure for agentic science.
The main conclusion is that practical Agentic IoT depends less on placing an entire agent at one tier than on partitioning perception, memory, reasoning, and action under explicit latency, privacy, reliability, and safety constraints.
We demonstrate Dash, a hypermedia workspace in which AI agents operate as first-class documents on a freeform spatial canvas, running entirely on-device without transmitting user data to external servers. Building on the Dash hypermedia system—which treats all document types uniformly within a richly linked spatial canvas— this work describes the addition of an agentic framework powered by open-source models running locally via Ollama. The accompanying video illustrates three core capabilities: context provision through native bidirectional linking, local multi-agent workflow orchestration, and a security model guaranteeing that sensitive data never leaves the device. A medical scenario walkthrough demonstrates the system's applicability to HIPAA-regulated clinical documentation, though the same agentic workflows apply equally to legal document review, defense intelligence analysis, financial modeling, and academic research.
Kartik Shrivastava, Alexander Shulman, Aura Sukapanpotharam et al.· Proceedings of the 2026 ACM...· 0 citations
A clear governance model can enable sustainable Cloud AI Automation for the enterprises and the ecosystem through the consideration of a Cloud Automation Control Plane that governs the core events and processes of Cloud Automation on behalf of initiation parties.
Sridhar Mahadevan· International journal of com...· 0 citations
It is argued that the path forward is to follow the prior-wave methodology: derive new agentic abstractions by extending classical OS and cloud OS primitives to stochastic, natural-language-mediated execution, specify their semantics precisely, and consolidate around them - just as POSIX and Kubernetes consolidated their respective waves.
Gosia Steinder, Hubertus Franke· 2026 IEEE International Conf...· 0 citations
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