All deadlines are at 11:59pm USA Pacific Time.
Digital transformation is happening in all industries. However, the large-scale and high complexity of cloud services, the core of the transformation, bring great challenges to the industry. We envision that with the advance of Artificial intelligence (AI) and machine learning (ML) and other related technologies, the cloud industry will achieve significant progress in the following aspects while keeping a sustained and exponential growth:
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 software engineering, systems, artificial intelligence, machine learning, and data analytics.
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. It encourages submissions on innovative technologies and applications that leverage AI/ML for efficient and manageable cloud services. Topics of interest include:
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 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. Submissions must conform to the IEEE Conference Proceedings Formatting Guidelines.
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.
Submission site: Conference Management Toolkit - Author Console (microsoft.com)