Conference Information

SOCC 2026: ACM Symposium on Cloud Computing

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Submission Date:
2026-07-07 Due in 29 days
Notification Date:
2026-09-26
Conference Date:
2026-11-18
Location:
Singapore
Years:
17
CCF: b   Viewed: 145443   Tracked: 147   Attend: 21

Call For Papers

SOCC 2026 (ACM Symposium on Cloud Computing) is a CCF B conference held in Singapore on 2026-11-18. The paper submission deadline is 2026-07-07. Acceptance notifications are sent on 2026-09-26.

The annual ACM Symposium on Cloud Computing (SoCC’26) brings together researchers, developers, users, and practitioners interested in cloud computing. ACM SoCC’26 is the 17th edition of the premier conference on cloud computing; it is the only conference co-sponsored by the ACM Special Interest Groups on Management of Data (SIGMOD) and Operating Systems (SIGOPS). SoCC’26 will take place in person in Singapore. As in prior SoCC conferences, SoCC’26 will foster connections between the academic and industrial communities operating in the cloud space. We solicit original contributions on all aspects of cloud computing. We particularly encourage submissions on the research, development, practice, and experience of cloud computing systems and data management. Specific topics of interest include but are not limited to the following, when related to the cloud: Administration, service level agreements, and manageability Blockchain systems, Byzantine fault tolerance, and decentralized ledgers Confidential computing Cross data center data management Datacenter architectures Data markets and data economy Distributed and networked systems Distributed/parallel query processing and optimization Edge and fog computing Energy efficiency, sustainability, and management Fault tolerance, high availability, and reliability Internet-of-Things infrastructure and cyber-physical systems Large-scale cloud applications Multi-tenancy in the cloud Networking and communication Operating systems and system support Platform-as-a-Service and other cloud models Privacy and security Programming models for cloud (e.g., serverless, microservices) Resource management, allocation, scheduling, provisioning, and metering Scientific data management and workflows Sky computing Storage systems and new storage technologies Machine learning for clouds and cloud-based systems Systems for machine learning training and/or serving Tracing and monitoring systems Transactional models and transaction processing Virtualization, containers, and virtual machines
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