Información de la conferencia

IC2E 2027: International Conference on Cloud Engineering

Día de Entrega:
2027-04-16 Faltan 153 días
Fecha de Notificación:
2027-06-19
Fecha de conferencia:
2027-09-28
Ubicación:
Hannover, Germany
Ediciones:
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ICORE: B   Vistas: 29553   Seguidores: 7   Asistentes: 0
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Índice Conference Partner (CP-I)

61,6 / 100
Puesto n.º 572 de 5.776 congresos · 10% superior
Reconocimiento académico (35%)
72
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
75
Atención de la comunidad (10%)
32
Integridad del registro público (15%)
55

Datos utilizados: Categorías: ICORE B · Ediciones documentadas: 15 · Investigadores que lo siguen aquí: 7 · Investigadores que abrieron esta página en los últimos 24 meses: 4

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.2 · Calculado el 2026-11-13

Solicitud de Artículos

IC2E 2027 (International Conference on Cloud Engineering) is a ICORE B conference held in Hannover, Germany on 2027-09-28. The paper submission deadline is 2027-04-16. Acceptance notifications are sent on 2027-06-19.

The IEEE International Conference on Cloud Engineering (IC2E) is a premier conference on Cloud Computing, which in the last two decades has significantly changed the way IT resources are consumed. IC2E provides a high-quality, comprehensive forum where researchers and practitioners can exchange information on engineering principles, enabling technologies, and practical experiences related to Cloud Computing. The conference brings together experts who work on different levels of the cloud stack – including systems, storage, networking, platforms, databases, applications, and software engineering. IC2E offers an end-to-end view of the challenges and technologies in Cloud Computing, fosters new research that addresses the interaction between different layers of the stack, and ultimately helps shape the future of cloud-transformed business and society. Environmental challenges are currently reshaping Cloud engineering priorities as they urgently require our attention, both on reducing the environmental impacts of Cloud systems and on participating to propose sustainable answers to these environmental challenges. Additionally, the convergence of Cloud Computing with AI/ML and High-Performance Computing (HPC) is transforming how computational resources are engineered and consumed, from large language model training requiring GPU-dense clusters to scientific simulations demanding low-latency interconnects and high-throughput storage systems. This convergence presents unique engineering challenges in resource management, energy efficiency, and infrastructure optimisation that are central to modern cloud engineering. A particular focus will be given at IC2E 2027 on data centers in space and distributed AI systems, while other topics (listed below) are most welcome. IC2E invites submissions of high-quality research papers describing fully developed results and ongoing foundational and applied work related to all aspects of cloud engineering. The IC2E Program Committee will interpret “cloud engineering” very broadly – to include everything from engineering principles to practical experiences, and advances that target different levels of the cloud stack, from both academia and industry. In particular, submissions on topics of emerging interest in the research and development communities are encouraged. Authors can choose to submit their papers under either the Research and Vision or Industry and Experience Track. Submissions are invited on the following non-exhaustive list of topics for both tracks: Distributed and Compound AI systems, including distributed training, inference serving, performance optimizations, and SLOs management AI/ML infrastructure and systems, MLOps platforms, and GPU cluster management, and Sustainable-aware AIOps Novel Runtime Models and System Design for distributed AI (e.g., model selection, model splitting, energy consumption optimizations, etc.) Systems for Edge-Cloud-Space Continuum, Orbital and Space Computing, Data centers in space, and infrastructure and resource management, e.g., of LEO constellations Cloud systems for sustainability, e.g., sustainable Cloud systems for environment modeling and monitoring Cloud management and engineering, from single (micro-)services to complete system landscapes Cloud applications, ranging from the Internet of Things (IoT) over Big Data to Machine Learning High-Performance Computing (HPC) on cloud, including elastic supercomputing, scientific applications, parallel filesystems, and high-performance networking and storage Cloud systems, including storage, data distribution, and serverless computing Cloud security and privacy concerns on all levels of the Cloud stack Fog and Edge Computing, and all other system types in the Cloud-Edge Compute Continuum Everything as a Service Non-technical aspects of Cloud Computing, e.g., Cloud governance or cloud economics
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