CLEF 2023

The Second Workshop on Cloud, Edge, and Fog for Smart Industries (CLEF)

Workshop co-located with

The 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2024)

May 6-9, 2024


Presently, cloud, edge, and fog computing are attaining popularity by creating a massive impact on building smart industries. Due to the production of independent, dissimilar, and massive data in the industry, traditional servers are not well-capable of handling these data efficiently. Typically, in all types of industries, there are a few segments of time-critical data, on which the industrial systems are required to act immediately and autonomously. The evolution of edge and fog computing facilitates time-critical data management in industrial systems. On the other hand, the non-time-critical data produced from an industry need not be processed immediately. In such a situation, cloud computing is an efficient solution for data handling in industrial applications. The storing and processing mechanisms of industrial data vary with the change in industrial types, variations in industrial data, and requirements in the applications. However, the evolution of Artificial Intelligence (AI) and Machine Learning (ML) makes it easy to manage and analyze industrial data in the cloud, edge, and fog for industrial decision-making. Additionally, communication networks are another essential component of any smart industry that enables data transmission from a source to the respective data processing and managing units such as cloud, edge, and fog. Generally, different data communication and connectivity protocols are used for efficient data transmission between different devices and cloud, edge, and fog architecture intended for smart industries. The data communications became challenging in the presence of heterogeneous devices, manufactured by different vendors with different levels of capabilities. On the other hand, the data acquired from different devices in an industry are inherently private and specific to that particular industry. Therefore, the industries do not wish to share and provide unauthorized access to their data to the outside world. In such a situation, data privacy and security is another utmost requirement for cloud, edge, and fog-enabled smart industries.
Cloud, edge, and fog play a crucial role in smart industries that contain a huge number of distinct devices. Different researchers in the existing literature have already addressed a few research issues of using cloud, edge, and fog for the smart industries. However, research lacunae still exist, which are essential to address, for various smart industrial applications. Therefore, a significant research effort is required on theories, architecture, and algorithms for the efficient use of cloud, edge, and fog in smart industries. This workshop will provide a platform for the global industrial research community to address the issues in the implementation of cloud, edge, and fog in smart industries. The scope of this workshop focuses on topics, not limited to:

  • AI/ML in cloud/edge/fog for smart agricultural industries
  • AI/ML in cloud/edge/fog for smart transportation industries
  • AI/ML in cloud/edge/fog for heavy industries
  • AI/ML in cloud/edge/fog for logistic network management for smart industries
  • Efficient end-to-end network management for cloud, edge, and fog-enabled smart industries
  • Energy-efficient communication protocols for cloud, edge, and fog-enabled smart industries
  • Virtual and Augmented reality in cloud/edge, and fog for smart industry
  • Resource orchestration in the cloud, edge fog networks for enabling smart industries
  • Performance enhancement of cloud/edge/fog computing architecture using Network Function Virtualization (NFV) and Software-Defined Networking (SDN) for smart industries
  • Intelligent computation offloading in cloud, edge, and fog computing for smart industries
  • Privacy-preserving data handling in cloud/edge/fog architecture for smart industries.


Workshop Organizers

  • Dr. Arijit Roy, Indian Institute of Technology Patna, India
  • Dr. Pavan Kumar BN, Indian Institute of Information Technology, Sri City, India
  • Dr. Bharatesh Chakravarthi, Arizona State University, Arizona, USA
  • Dr. Nurzaman Ahmed, Donald Danforth Plant Science Center, Olivette, USA

Program Committee Chair

  • Dr. Ayan Mondal, Indian Institute of Technology Indore, India

Workshop TPC Members



Paper submission guidelines is avaialable at


All deadlines are in Anywhere on Earth (AoE), UTC-12 time zone.

  • Submission Deadline: December 1, 2023 December 31, 2023
  • Notification of Acceptance: January 15, 2024 January 20, 2024
  • Camera Ready: March 4, 2024