Introduction

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. There is an emerging trend of infusing AI into every aspect of the design, development, and operations of cloud service systems, we call it AIOps. We envision that, with the advance of AIOps technologies, the cloud industry will achieve significant progress in the following aspects while keeping a sustained and exponential growth:

• Autonomous and high-quality cloud service. Cloud services will have built-in capabilities of self-monitoring, self-diagnosis, and self-healing – all with low human intervention (thus low operation cost) without compromising the service quality or the user experience.

• 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.

• 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.

The industry 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, and new ideas, in this area, and network with colleagues.

Sponsor Type:1; 9

Committee

Organizing Committee

Eli Cortez, Microsoft Azure
Yingnong Dang, Microsoft Azure
Qingwei Lin, Microsoft Research Asia
Xin Peng, Fudan University

Publicity Chair

Igal Figlin, Microsoft Azure

Web Chair

Murali Chintalapati, Microsoft Azure

Call for paper

Important date

2021-02-01
Draft paper submission deadline
2021-02-22
Draft paper acceptance notification

Submission Topics

The workshop encourages submissions on innovative technologies and applications in cloud intelligence / AIOps. Topics of interest include AI/ML related techniques, methodologies, solutions, and experiences for cloud service systems, DevOps, and customers.

• New design, development, and operational patterns
• Development of cloud services systems
• 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
• Datacenter management
• Customer support
• Security
• Privacy

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Important Date
  • May 29

    2022

    Conference Date

  • Feb 01 2021

    Draft paper submission deadline

  • Feb 22 2021

    Draft Paper Acceptance Notification

  • May 29 2022

    Registration deadline

Sponsored By
Association for Computing Machinery Special Interest Group on Software Engineering - ACM SIGSOFT IEEE Computer Society
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