Conference Information

APSys 2026: ACM SIGOPS Asia-Pacific Workshop on Systems

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Submission Date:
2026-05-13
Notification Date:
2026-07-29
Conference Date:
2026-09-17
Location:
Bangkok, Thailand
Years:
17
Viewed: 33881   Tracked: 3   Attend: 0

Conference Partner Index (CP-I)

53.8 / 100
Ranked #958 of 5,687 conferences · Top 17%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
78
Community attention (10%)
33
Public record completeness (15%)
50

Inputs used: Editions on record: 17 · Researchers following it here: 3 · Researchers who opened this page in the past 24 months: 12

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-25

Call For Papers

APSys 2026 (ACM SIGOPS Asia-Pacific Workshop on Systems) is an academic conference held in Bangkok, Thailand on 2026-09-17. The paper submission deadline is 2026-05-13. Acceptance notifications are sent on 2026-07-29.

Building on the success of its predecessors, the 17th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2026) will continue to serve as a vibrant forum for researchers and practitioners to present innovative and emerging ideas in systems research, fostering discussion and collaboration within the Asia-Pacific region and beyond. This year, APSys 2026 will be held in Bangkok, Thailand, on September 17-18. Topics of interest include, but are not limited to: Operating systems Virtualization File and storage systems Networked systems Mobile, embedded, and IoT systems Cloud computing and data centers Edge computing Big data systems Distributed systems Green and sustainable computing Debugging, testing, and verification Measurement, monitoring, and modeling Reliability, scalability, and fault tolerance Security and privacy Systems for machine learning and machine learning for systems Hardware and software interaction Experience with deployed systems Blockchain and cryptocurrency systems
Last updated by Dou Sun on

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