Call for Papers

Important Dates

• Submissions due: January 13th, January 20th, 2023
• Notification of acceptance: February 24th, 2023
• Camera-ready Deadline: March 17th, 2023

All deadlines are at 11:59pm USA Pacific Time.


Digital transformation is happening in all industries. Running businesses on top of cloud services (e.g., SaaS, PaaS, IaaS) is becoming the core of digital transformation. However, the large-scale and high complexity of cloud services brings great challenges to the industry. Artificial intelligence and machine learning will play an important role in efficiently and effectively building and operating cloud services. We envision that, with the advance of AI/ML and other related technologies, the cloud industry will achieve significant progress in the following aspects while keeping a sustained and exponential growth:

• Highly resilient cloud service. Cloud services will have built-in capabilities of self-monitoring, self-diagnosis, and self-healing – all with low human intervention without compromising the service quality or the user experience.
• Intelligence at users’ fingertips. Users can easily use, maintain, and troubleshoot their workloads or get efficient support on top of the underlying cloud service offerings.
• Highly efficient and effective DevOps (Developer and Operations). Engineers are empowered with intelligent tools to (1) build new capabilities of services and smoothly roll out new capabilities to users; (2) efficiently operate production services.

The industry is calling for AIOps solutions but is still at an early stage towards realizing this vision. We advocate the urgency of driving and accelerating AI/ML for efficient and manageable cloud services through collaborative efforts in multiple areas including but not limited to artificial intelligence, machine learning, software engineering, data analytics, and systems.

This workshop provides a forum for researchers and practitioners to present the state of research and practice in AI/ML for efficient and manageable cloud services, and network with colleagues.


The workshop targets creating an interdisciplinary forum for researchers and practitioners from the fields mentioned above. The workshop encourages submissions on innovative technologies and applications that leverage AI/ML for efficient and manageable cloud services. Topics of interest include AI/ML related techniques, methodologies, and experiences for cloud intelligence and DevOps solutions.

• New design, development, and operational patterns
• Development of cloud services
• Deployment and integration testing
• System configuration
• Service quality monitoring and anomaly detection
• Resource scheduling and optimization
• Capacity/workload management and prediction
• Hardware/software failure prediction
• Auto-diagnosis and problem localization
• Incident management
• Auto service healing
• Data center management
• Customer support
• Security
• Privacy


For each accepted paper, at least one author must attend the workshop and present the paper.

Submission Instructions

The workshop invites submission of manuscripts with original research results that have not been previously published and that are not currently under review by another conference and journal. Submissions will be assessed based on their novelty, technical quality, potential impact, interest, clarity, relevance, and reproducibility. Submitted papers will be peer-reviewed and selected for oral or poster presentation. Accepted papers will be listed on the workshop’s website.

Submissions must be in PDF format, no more than six pages long for technical papers and two pages for project showcases, including all content and references and conform to the IEEE conference proceedings template, specified in the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt).

The project showcase track focuses on innovative cloud intelligence projects. Submissions should contain a brief description of the project including its goal, problem statement, solution, and deployment status if applicable. A project URL is recommended.

Submit your paper through the Cloud Intelligence/AIOps workshop 2023 Submission Site:

Any questions may be directed to the workshop’s email address: