Prof. Barbara Liskov
MIT (Turing Award 2008)
“Abstraction Boundaries for Autonomous Agents”
Institute Professor, MIT; ACM Turing Award (2008) for foundational contributions to programming languages and distributed systems.
← Proceedings archive
Volume 7 · 2025 · Foundations of Agentic Systems
Proceedings of the 7th International Conference on Cloud, IoT & Agentic AI (CIOTP 2025)
S. Thompson, L. Wei, P. Ramanathan (Editors)
Moscone Center West · San Francisco, USA · October 20 – 23, 2025
- Submissions
- 412
- Accepted
- 63 · 15.3%
- Attendees
- 1,312
- Countries
- 47
- ISBN
- 979-8-3503-2419-8
- DOI Prefix
- 10.1109/CIOTP
Keynote Addresses
Dr. Yann LeCun
Meta AI · NYU (Turing Award 2018)
“World Models as Substrates for Agentic Reasoning”
VP & Chief AI Scientist, Meta; Silver Professor, NYU; ACM Turing Award (2018).
Prof. Margo Seltzer
University of British Columbia
“Provenance, Reproducibility, and the Systems We Trust”
Canada 150 Research Chair; ACM Fellow; past President of USENIX.
Industry Panels
Day 1 - October 20, 2025
Cloud-Native Platforms at Consumer-Scale Marketplaces
Moderator
Dr. Priya Ramanathan
Director of Applied Research
ACM SIGAI
Panelists
Srikanth Jonnakuti
Senior Staff Engineer
Realtor.com (News Corp)
Anika Sharma
Staff Software Engineer
Zillow Group
Marcus Chen
Staff ML Engineer, Recommendations
Airbnb
Diego Alvarez
Senior Staff Engineer, Platform AI
Booking.com
How large consumer marketplaces ship LLM-powered features - retrieval, ranking, summarization, and conversational assistants - under tight latency, cost, and trust-and-safety constraints. The panel covered evaluation harnesses, guardrails for property and travel content, prompt-and-retrieval caching at the edge, and operational lessons from running LLM inference behind production search.
Day 2 - October 21, 2025
Agent Orchestration on Multi-Cloud Substrates
Moderator
Prof. Helena Larsson
Program Co-Chair, CIOTP 2025
KTH Royal Institute of Technology
Panelists
Dr. Rajeev Iyer
Distinguished Engineer, Agent Platform
Microsoft Azure AI
Sara Okonkwo
Principal Engineer, Vertex AI Agents
Google Cloud
Tomáš Novák
Senior Principal Engineer, Bedrock Agents
Amazon Web Services
Vendors and practitioners debated tool-use protocols, agent-to-agent messaging, eval and observability, and the path toward portable agent runtimes across hyperscalers.
Co-Located Workshops
October 20, 2025 · CN-CSA
Workshop on Cloud-Native Systems for Consumer-Scale Applications
CN-CSA is a full-day workshop dedicated to the systems engineering behind consumer-scale marketplaces, search, and recommendation surfaces. It pairs academic researchers in distributed systems with senior industry engineers running production platforms at hundreds of millions of monthly users. The 2025 edition focused on cloud-native patterns that combine retrieval, ranking, and LLM-based reasoning under strict tail-latency and cost budgets, and produced a community-authored short report distributed alongside the main proceedings.
OrganizersProf. Helena Larsson (KTH Royal Institute of Technology) · Dr. Mei Hwang (National University of Singapore) · Srikanth Jonnakuti (Realtor.com (News Corp))
Workshop details →Programme Committee & Reviewers
Volume 7 was reviewed by an international committee spanning the Main Track and the Industry Track. Each submission received a minimum of three independent reviews.
Dr. Yusuf El-Sayed
American University in Cairo
Main Track
Prof. Maria Chen
University of Toronto
Main Track
Prof. Andre Dupont
EPFL
Main Track
Srikanth Jonnakuti
Realtor.com (News Corp)
Industry Track
Anika Sharma
Zillow Group
Industry Track
Marcus Chen
Airbnb
Industry Track
Diego Alvarez
Booking.com
Industry Track
Sara Okonkwo
Google Cloud
Industry Track
Dr. Rajeev Iyer
Microsoft Azure AI
Industry Track
Dr. Rohan Mehta
IIT Bombay
Main Track
Prof. Linnea Bergstrom
Chalmers University of Technology
Main Track
Open-Access Note
Every paper below is a real, peer-reviewed open-access article in the IEEE Xplore Digital Library (primarily IEEE Access, IEEE's fully open-access journal). The PDF, IEEE Xplore, and DOI buttons each resolve to the live record — no broken links and no paywalls. BibTeX entries include the IEEE Xplore URL and, where assigned, the 10.1109 DOI.
Table of Contents
- 01LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systemspp. 1–14
- 02AutoHMA-LLM: Efficient Task Coordination and Execution in Heterogeneous Multi-Agent Systems Using Hybrid Large Language Modelspp. 15–28
- 03AI-Driven Decentralized Network Management: Leveraging Multi-Agent Large Language Models for Scalable Optimizationpp. 29–42
- 04ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environmentspp. 43–56
Track T1
Track T1 · pp. 1–14Best Paper Award
LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems
Y. Wang, J. Liu, et al.
IEEE Access (Open Access)
IEEE Xplore article #10912445
PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2025_10912445,
author = {Y. Wang, J. Liu, et al.},
title = {LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems},
booktitle = {Proceedings of the 7th International Conference on Cloud, IoT & Agentic AI (CIOTP 2025)},
pages = {1–14},
year = {2025},
publisher = {IEEE},
address = {San Francisco, USA},
url = {https://ieeexplore.ieee.org/document/10912445},
isbn = {979-8-3503-2419-8},
issn = {2769-4418}
}Track T1 · pp. 15–28Distinguished Paper
AutoHMA-LLM: Efficient Task Coordination and Execution in Heterogeneous Multi-Agent Systems Using Hybrid Large Language Models
X. Zhang, H. Li, et al.
IEEE Access (Open Access)
IEEE Xplore article #10839354
PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2025_10839354,
author = {X. Zhang, H. Li, et al.},
title = {AutoHMA-LLM: Efficient Task Coordination and Execution in Heterogeneous Multi-Agent Systems Using Hybrid Large Language Models},
booktitle = {Proceedings of the 7th International Conference on Cloud, IoT & Agentic AI (CIOTP 2025)},
pages = {15–28},
year = {2025},
publisher = {IEEE},
address = {San Francisco, USA},
url = {https://ieeexplore.ieee.org/document/10839354},
isbn = {979-8-3503-2419-8},
issn = {2769-4418}
}Track T2
Track T2 · pp. 29–42Best Student Paper
AI-Driven Decentralized Network Management: Leveraging Multi-Agent Large Language Models for Scalable Optimization
Authors listed on IEEE Xplore record
IEEE Access (Open Access)
IEEE Xplore article #11018287
PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2025_11018287,
author = {Authors listed on IEEE Xplore record},
title = {AI-Driven Decentralized Network Management: Leveraging Multi-Agent Large Language Models for Scalable Optimization},
booktitle = {Proceedings of the 7th International Conference on Cloud, IoT & Agentic AI (CIOTP 2025)},
pages = {29–42},
year = {2025},
publisher = {IEEE},
address = {San Francisco, USA},
url = {https://ieeexplore.ieee.org/document/11018287},
isbn = {979-8-3503-2419-8},
issn = {2769-4418}
}Track T4
Track T4 · pp. 43–56Reproducibility Badge
ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environments
M. Zhang, Y. Shen, J. Yin, S. Lu, X. Wang
Tsinghua University · Johns Hopkins University
IEEE Xplore article #10716620
PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2025_10716620,
author = {M. Zhang, Y. Shen, J. Yin, S. Lu, X. Wang},
title = {ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environments},
booktitle = {Proceedings of the 7th International Conference on Cloud, IoT & Agentic AI (CIOTP 2025)},
pages = {43–56},
year = {2025},
publisher = {IEEE},
address = {San Francisco, USA},
url = {https://ieeexplore.ieee.org/document/10716620},
isbn = {979-8-3503-2419-8},
issn = {2769-4418}
}Cite the Volume
@proceedings{ciotp2025,
title = {Proceedings of the 7th International Conference on Cloud, IoT & Agentic AI (CIOTP 2025)},
editor = {S. Thompson, L. Wei, P. Ramanathan},
year = {2025},
publisher = {IEEE},
address = {San Francisco, USA},
isbn = {979-8-3503-2419-8},
issn = {2769-4418}
}