ACM SIGCOMM 2023, New York City, US

1st Workshop on Enhanced Network Techniques and Technologies for the Industrial IoT to Cloud Continuum (IIoT-Nets)

Workshop Program

  • Sunday, September 10, 2023

  • 9:40am-10:20am      Session I: Keynote

    Session chair: Prof. Hans-Peter Bernhard
  • Title: Distributed Adaptive Energy Management Solutions for IoT Networks

    Speaker: K. K. Ramakrishnan, Distinguished Professor, Dept. of Computer Science and Engineering, University of California, Riverside

    • Bio: Dr. K. K. Ramakrishnan is a Distinguished Professor of Computer Science and Engineering at the University of California, Riverside. Previously, he was a Distinguished Member of Technical Staff at AT&T Labs-Research until 2013. He joined AT&T Bell Labs in 1994 and was with AT&T Labs-Research since its inception in 1996. Prior to 1994, he was a Technical Director and Consulting Engineer in Networking at Digital Equipment Corporation. Between 2000 and 2002, he was at TeraOptic Networks, Inc., as Founder and Vice President. Dr. Ramakrishnan is an ACM Fellow, an IEEE Fellow, and an AT&T Fellow. His work on the "DECbit" congestion avoidance protocol received the ACM Sigcomm Test of Time Paper Award in 2006, and he received the AT&T Technology Medal in 2012 for his work on Mobile Video Delivery. K. K. received his M.E. from the Indian Institute of Science (19100), MS (1981) and Ph.D. (1983) in Computer Science from the University of Maryland, College Park, USA.

      Abstract: Multi-sensor IoT devices can be used to monitor different environmental phenomena. Often deployed over large areas, these devices depend on batteries and renewable energy sources for power. We develop efficient energy management solutions to maximize device lifetime while ensuring appropriate and sufficient data is captured to be processed by the IoT application. We leverage cooperative sensing with multiple sensors working together to further increase energy efficiency and minimize temporal overlap. We adapt the device load to available renewable energy using Model Predictive Control (MPC) to optimize sensing tasks and develop and evaluate a low-complexity approximation to MPC suitable for execution on IoT devices. Our Predictive EneRgy Management for IoT (PERMIT) is implemented on a prototype lightweight solar-powered IoT device using a Raspberry Pi and multiple sensors, developed along with HP Labs. We then develop cooperative sensing by using a distributed “Block scheduler” scheduler to manage sensing across multiple IoT devices that minimizes temporal sensing overlap across neighboring IoT devices.

      This is joint work with Elizabeth Liri, Koushik Kar, Puneet Sharma and Geoff Lyon.


  • 10:30am-10:45am Break

  • 10:45am-12:25pm      Session II (Technical presentations 1)

    Session chair: Dr. Richard Li
  • 10:45am-11:10am

    FactoryDC: Network and Resource Planning for Emerging Applications in Future Factories

  • 11:10am-11:35am

    FabOS: Hooking up Container Platforms with Time-Sensitive Networks

  • 11:35am-12:00pm

    SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoT

  • 12:00pm-12:25pm

    Supporting vPLC Networking over TSN with Kubernetes in Industry 4.0

  • 12:25pm-1:20pm Lunch

  • 1:20pm-2:35pm      Session III (Technical presentations 2)

    Session chair: Antonino Angi
  • 01:20pm-01:45pm

    Operations and Control Networks (OCN) Model: A Systematic Approach to Operational and Information Technology Convergence

  • 01:45pm-02:10pm

    Context-Aware Attribute Based Access Control for Cloud-based SCADA Systems

  • 02:10pm-02:35pm

    Improving BLE Fingerprint Radio Maps: A Method based on Fuzzy Clustering and Weighted Interpolation

  • 2:35pm-2:45pm Break

  • 2:45pm-4:00pm      Session IV (Invited Talks)

    Session chair: Prof. Luca Foschini
  • 2:45pm-3:10pm

    Invited talk 1, Deterministic Reliable Communication in Wireless IIoT

    Hans-Peter Bernhard (Silicon Austria Labs, Johannes Kepler University)

    • Presenter: Hans-Peter Bernhard is Principal Scientist, Head of Research Unit Wireless Communications at Silicon Austria Labs, and Senior Scientist at the Institute of Communications and RF Systems at the Johannes Kepler University Linz, Austria. Hans-Peter Bernhard received a Master’s degree in electrical engineering in 1991 and a PhD in Technical Sciences from the Technical University Vienna in 1997. He was Assistant Professor at TU-Vienna until 1998 and joined the JKU as a Lecturer in 1999. In 2014 he started as Senior Scientist at Johannes Kepler University and at Silicon Austria Labs in 2018. He was a Guest Researcher at Prague Academy of Science and at the University of Cambridge. He has given several invited talks on various aspects of wireless factory and sensor communications. He has organized/co-organized several special sessions at ETFA2019, WFCS2020-2023, NOMS2020-2023, IEEE-IM 2021, WF-IoT 2021 and served as conference General Chair WFCS2021, and Organizing Chair of EWSN2022. He is an active member of the IEEE P1451 standard technical committee, IES TC-II, IES TC-FA, IEEE Senior Member and guest editor of IEEE Transactions on Industrial Informatics.

      Abstract: In this presentation, we examine the current applications of wireless Operational Technology (OT) networks and explore the potential of both 5G and a sneak peek into 6G as wireless communication technologies ready to meet the demanding communication needs of Industry 5.0 applications. We showcase the capabilities of a 5G campus network deployed within indoor factory floor scenarios, leveraging the latest advancements from the commercially available 3GPP release-16. By conducting an extensive measurement campaign, we acquire detailed insights into various aspects including coverage maps, reference signal power, channel quality indicators, and throughput. Moreover, we analyze end-to-end delay measurements across different channel conditions, considering 5G quality of service priorities and varying traffic loads. This comprehensive analysis aids in shaping a potential trajectory for the digitalization of industries, ushering in a realm of cyber-physical continuity that necessitates precise communication to enable seamless end-to-end services. Drawing from the insights of the EU project DETERMINISTIC6G, we tackle this challenge through a novel architecture that integrates Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet). This architecture also incorporates data-driven network performance awareness and the concept of digital twins to enable determinism and enhance safety within 6G networks. In conclusion, we offer a glimpse into the future by exploring the integration of environmental awareness into communication links. This integration holds the promise of advancing the deterministic and reliable behavior of wireless communication within controlled environments.


  • 3:10pm-3:35pm

    Invited Talk 2, Integration of Machine Learning and Networking Intents for the Orchestration of Distributed IIoT Devices

    Antonino Angi (Politecnico di Torino)

    • Presenter: Antonino Angi received his M.Sc. degree in Computer Engineering from Politecnico di Torino, Italy, in 2020, and he is currently a Ph.D. student at the same university. His research interests include network architecture and management protocols, machine learning for computer networks, and data-plane programmability.

      Abstract: Properly connecting processing nodes with sensors and optimization on physical or wireless layers are two of the goals that Industrial IoT (IIoT) experts are trying to meet, along with high-speed data transmission and scalability for different topologies and needs. But how can we program IIoT devices to achieve low transmission latency while ensuring network operations align with the required traffic load and user intents? In this talk, we will explore how ML methods can be used in conjunction with data-plane programming languages to efficiently profile network loads while using intents to help administrators and programmers customize their networks according to their needs.


  • 3:35pm-4:15pm

    Closing Keynote: Internet of Things Science: The use of IoT Cloud-Data for data exchange, semantic interoperability and device management federation for AI-Industrial Applications

    Martin Serrano (Insight SFI Research Centre for Data Analytics, University of Galway)

    • Bio: Dr. Martin Serrano holds an Adjunct Lecturer position at the University of Galway and the role of Guest Lecturer at SCU in Silicon Valley, Santa Clara, CA, USA. He also has delivered Lectures at California State University SLO, CA, USA and TUB, Berlin, and FBK-CREATE Net Research Centre in Trento, Italy. He has a Principal Investigator position within the Insight SFI Research Centre, one of the largest research centers for data analytics in Europe. Dr. Serrano is a recognized expert on Semantic Interoperability for Distributed Systems and Internet of Things design and has also contributed to define the Data Interplay in Edge Computing using the Linked Data paradigm, In both works he has got best paper awards for these Scientific Contributions/Publications. Dr. Serrano has advanced the state of the art on Pervasive Computing using semantic data Modelling and Context Awareness methods to extend the "Autonomics" parading for networking systems. He also has contributed to enrich the Information and Knowledge Engineering area using Semantics and Ontologies for describing data and services relations in Autonomic Computing. Dr. Serrano is a pioneer and visionary researcher proposing that Semantic Technologies applied to Policy-based Management Systems can be used as an approach to produce cognitive applications capable of understanding service and application events, controlling the pervasive services life cycle. Dr. Serrano is the author of the academic book "Applied Ontology Engineering in Cloud Services, Networks and Management Systems" published by Springer USA. Dr. Serrano has experience on Technical Management and Coordination of Irish National (HEA Futurecomm, SFI FAME) and European collaborative Projects (IST CONTEXT, IST AutoI, ICT OpenIoT, ICT OpenIoT-Enlarged, ICT Vital, ICT BIG IoT, ICT ACTIVAGE, H2020 i3-MARKET, and H2020 INFINITECH) and also Experiments in European Platforms (SSCFed4FIRE). Also, he is active research member at the Next Generation Internet (NGI-Explorers and NGI-Enrichers) initiative. He is an active member of IEEE (Computer and Communication Societies) and ACM. Dr. Serrano is a continuous contributor for the European Commission DG-CNECT for defining the Research and Innovation Agenda for Europe, acting as an expert and assisting the European Commission in the definition of Horizon Europe, Horizon 2020, and FP9 Horizon Europe programme.

      Abstract: The Industrial Internet of Things (IIoT) has advanced rapidly, transforming the perception in how data can be stored and processed in order to get the benefits from the collected data in particular industry applications, i.e., preventive maintenance, device production, planning in manufacturing, etc. The Internet of Things Stack has evolved to integrate advanced data management capabilities to cope with the emergent needs in industrial markets, i.e., privacy and security concerns, large amounts of data processing, federated access to information, etc. In this talk, the full IoT Stack will be reviewed, and the data continuum will be explained, starting at the edge of the technology and understanding the IoT data life cycle, from data collection to data marketplaces. The management of the “universally” connected devices used to be a priority in the Internet of Things. Still, today, this has been “level up” towards managing not only the devices but also the data that the loT platforms and the end-user applications those devices are able to support. The Internet of Things Stack was defined including device management techniques (i.e., autonomic, self- management); that have been developed over the run of these years. Management paradigms are emerging, and is clear that the loT developments have triggered the evolution in different directions, from looking to more powerful devices that process large amounts of data at the Edge to a larger development in the number of interoperable loT platforms where the development of architectures in the cloud and cross-domain applications can use the data seamlessly offering new end-user applications. Therefore, this multidirectional evolution has resulted in the creation of several parallel loT ecosystems, some of them open but the majority proprietary ecosystems. Finally, we will also address the challenges and proposed solutions for the interoperability of these parallel loT ecosystems, the current standard propositions, and the management techniques for the delivery of data services over those loT platforms.


  • 4:15pm      Closing and take aways

Call for Papers

All types of industries, such as production, shipping, agriculture, manufacturing verticals, and utilities such as railways, energy grids, and self-driving or remote driving infrastructure, have identified opportunities in automating process control applications and the monitoring of remote operations. The promising growth in connected equipment and machines (Industrial IoT) underscores the importance and the need for remote process control systems and remote monitoring operations. The use of cloud technologies improves the coordination of the control processes and the applications. To support this we need enhanced network techniques and technologies, plus architectures and frameworks for this Industrial IoT to Cloud continuum, providing the foundation for a fast expanding Operations and Process Control applications.

Emerging Operational Technology traffic profiles require the capabilities of wide-area, large-scale deterministic, and time-sensitive networks. These traffic patterns emerging from the monitoring operations and the process control applications requires enhanced networks with specialized techniques, technologies, and attributes that are both non-interfering and non-disruptive. These networks are reliable and present deterministic behaviours for seamless machine-to-machine communication, compared to general-purpose networks which are commonly for human-to-software interaction. The outcomes and outputs of these control applications are so critically dependent on having high-quality network performance that most industry operators have yet to venture into controlling devices beyond a local site.

While there is a clear requirement to use cloud native technologies, there are many technical problems to solve to enable distributed process control and monitoring functions over the cloud. We plan to feature research and other activities to bridge gaps between the cloud operators, industrial network operators, and network service providers, and to overcome the issues of transitioning from fully local operation to cloud. This raises a number of interesting questions:

  • Related to the forwarding aspects: how to describe a command structure in a process control so that network forwards it gracefully; how cloud-native process control services will be deployed and generalized given that the traffic profiles vary for each controller and field-device pair; how to leverage and incorporate virtualized infrastructure with deterministic networks and multi-tenant support.
  • How management views evolve for cloud-centric processes: how to define, monitor, observe, discover, and respond to faults in the system and control of machines and field devices; how does cloud-to-edge-to-field device connectivity get managed.

Finally, such networks are not operated by network experts, instead, industrial process engineers or application developers would need to deal with deployment and maintenance of such networks, and would need to express their network requirements in a programmable and standard manner. Thus, auto-provisioning and interactions across the different infrastructures should be considered.

The goal of the workshop is to feature recent research and initiatives related to (a) architectures and frameworks for the Industrial IoT to Cloud continuum, (b) providing the foundation for Operations and Process Control applications and emerging traffic profiles, and (c) industrial network operations, with all things related to remote field-device communication using enhanced network techniques and technologies. The contributors are encouraged to bring forth novel use- cases, presenting their work which solves and highlights challenges in industrial process control automation, and which helps build a research and user community to explore and bridge the gaps between industrial and network operators.

The “Enhanced network techniques and technologies for the Industrial IoT to Cloud continuum” workshop aims at bringing cloud, network operators, and industrial network experts together with the intention of synthesizing a unified architectural view on how to evolve from closed industrial systems to cloud-native. This workshop also solicits work on use-cases, design principles, techniques, implementations, and experience insights that address the workshop objectives.

Topics of Interest
  • Architectures and frameworks for the Industrial IoT to Cloud continuum
  • Application interface to networks that support industrial processes
  • Challenges in supporting virtualized controller over WAN/cloud
  • Cloud based and virtualized Programmable Logic Controllers (PLC)
  • Real-time cloud-based process control challenges and solutions
  • Cloud-oriented multi-site connectivity for process automation
  • Network challenges in supporting industrial digital twins. Coordination between physical infrastructures and application specific digital twins
  • Programmable data-plane techniques for remote operations and control
  • Security, reliability and safety in open industrial networks
  • Distributed Monitoring and Telemetry techniques
  • Cloud-converged feedback control loops
  • Use of decentralization such as Distributed Ledger Technologies (DLT) for improving trust

Submission Instructions

Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be at most six (6) pages long, excluding references and appendices, in two-column 10pt ACM format. Papers must include author names and affiliations for single-blind peer reviewing by the PC. Authors of accepted submissions are expected to present and discuss their work at the workshop.

Please submit your paper using HotCRP site: using template

If you have any questions or problems with your submission, please get in touch with Kiran Makhijani (

Important Dates

  • June 18, 2023 (11:59:59 pm EDT)

    Submission deadline (extended and firm)

  • July 2, 2023

    Acceptance notification

  • July 16, 2023

    Camera-ready deadline

  • September 10, 2023


Workshop Organizing Committee

  • General Chairs
  • Kiran Makhijani

    Futurewei USA

  • Stuart Clayman

    University College London, UK

  • Technical Program Co-Chairs
  • Richard Li

    Futurewei, USA

  • Luca Foschini

    University of Bologna, Italy

  • Marc-Oliver Pahl

    IMT Atlantique, France

  • Technical Program Committee (TPC) Members
  • Albert Cabellos-Aparicio

    Universitat Politècnica de Catalunya, Spain

  • Alex Afanasyev

    Florida International University, USA

  • Faisal Tooba

    King’s College London, UK

  • Francesco Tusa

    University of Westminster, UK

  • Halima Elbiaze

    Université du Québec à Montréal, Montreal, Canada

  • Hanan Lutfiyya

    The University of Western Ontario, Canada

  • Jiang Liu

    Beijing University of Posts and Telecommunications, China

  • K. K. Ramakrishnan

    University of California, River Side, USA

  • Lijun Dong

    Futurewei Tech, USA

  • Maria Torres Vega

    Ghent University, Belgium

  • Mohit P. Tahiliani

    National Institute of Tech Karnataka, India

  • Muge Sayit

    Ege University, Turkey

  • Nirmala Shenoy

    Rochester Institute of Technology, USA

  • Osamah Lutf Hamood Barakat

    Siemens, Germany

  • Valerio Formicola

    CalPoly Pomona, USA

  • Roch Glitho

    Concordia University, USA

  • Toktam Mahmoodi

    Kings College London, UK

  • Tim Wauters

    Ghent University, Belgium

  • Tongyang Xu

    University College London, UK

  • Xiang Sun

    University of New Mexico, USA

  • Yong Liu

    New York University, USA