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ICPE 2027 : 18th ACM/SPEC International Conference on Performance Engineering

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Conference Series : International Conference on Performance Engineering
 
Link: http://18th ACM/SPEC International Conference on Performance Engineering
 
When May 24, 2027 - May 28, 2027
Where Gothenburg, Sweden
Abstract Registration Due Nov 9, 2026
Submission Deadline Nov 1, 2026
Notification Due Jan 25, 2027
 

Call For Papers

Subject: ICPE 2027 - Call for Contributions

Body:
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Call for Contributions
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ICPE 2027
18th ACM/SPEC International Conference on Performance Engineering
May 24 - 28, 2027
Gothenburg, Sweden
Web: https://icpe2027.spec.org
LinkedIn: https://www.linkedin.com/groups/15362050/
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IMPORTANT DATES
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Research track abstracts: Nov 09, 2026 (AoE)
Research track papers: Nov 16, 2026 (AoE)
Research track notification: Jan 25, 2027 (AoE)
Industry track abstracts: Nov 09, 2026 (AoE)
Industry track papers: Nov 16, 2026 (AoE)
Industry track notification: Jan 25, 2027 (AoE)

Workshops, Artifact Track, Journal-First Track, Poster and Demo Track,
Tutorials Track, Data Challenge Track: TBA
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SCOPE AND TOPICS
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The ACM/SPEC International Conference on Performance Engineering (ICPE) is the
leading international forum for presenting and discussing novel ideas,
innovations, trends, and experiences in the field of performance engineering.
Performance, energy efficiency, reliability, sustainability, and trustworthiness
are central to the acceptance and long-term viability of modern computing
systems. Digitalization brings computing technology closer to people and
manages many aspects of their lives. In turn, human interaction, automation,
and increasingly AI-enabled decision-making shape the behaviour of computing
systems. As a result, our systems become more complex, more adaptive, and
more difficult to engineer, observe, and understand.

ICPE brings together researchers and practitioners to report on open problems,
state-of-the-art solutions, and in-progress research in performance engineering
of software and systems, targeting performance and associated quality attributes
such as efficiency, reliability, scalability, sustainability, and cost in all
phases of the computing system lifecycle, from specification and development to
run time and maintenance.

ICPE deals with performance and associated quality attributes across application
domains. Examples include, but are not limited to:
- cyber-physical systems, IoT, industrial Internet, robotic systems, and
autonomous systems
- communication networks, wireless systems, mobile systems, and distributed
systems
- peer-to-peer environments and ad-hoc networks
- service-oriented architectures, microservices, web-based environments,
cloud-native systems, and serverless applications
- big data systems, stream processing, graph processing, data analytics, and
data science
- machine learning, artificial intelligence, LLM-based systems, AI
infrastructure, and agentic AI applications
- HPC systems, cloud platforms, edge platforms, grid systems, fog computing,
and accelerator-based platforms
- multimedia systems and applications
- resilient, adaptive, and self-managing systems and applications
- production software systems, observability platforms, and large-scale
operational environments

ICPE 2027 invites contributions across the following tracks:
- **Research Track** for novel research on the conference topics
- **Industry Track** for research involving industry and production
performance-engineering practice
- **Industry Presentation Track** for presentations from industry practitioners
showcasing their views and experiences in performance engineering
- **Journal-first Track** for contributions from recent journal publications
- **Artifact Track** for sharing software, data, benchmarks, traces, and other
reusable research artifacts
- **Emerging Research Track** for preliminary, exploratory, or vision contributions
- **Poster and Demo Track** for short interactive contributions
- **Tutorials Track** for presentations by leading scientists and practitioners
- **Workshops Track** for focused communities and specific aspects of performance
engineering
- **Data Challenge Track** for addressing challenges presented by performance
datasets

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