Conference Information

CLOUD 2026: International Conference on Cloud Computing

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CLOUD
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Submission Date:
2026-03-08
Notification Date:
2026-05-10
Conference Date:
2026-07-13
Location:
Sydney, Australia
Years:
19
Viewed: 77239   Tracked: 56   Attend: 12

Conference Partner Index (CP-I)

54.3 / 100
Ranked #855 of 5,650 conferences · Top 16%

#118 of 340 in Systems & Architecture

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%)
81
Community attention (10%)
55
Public record completeness (15%)
35

Inputs used: Editions on record: 19 · Researchers following it here: 56 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
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 2026-09-06

Call For Papers

CLOUD 2026 (International Conference on Cloud Computing) is an academic conference held in Sydney, Australia on 2026-07-13. The paper submission deadline is 2026-03-08. Acceptance notifications are sent on 2026-05-10.

IEEE CLOUD is the flagship conference dedicated to innovative advances in cloud computing across all “Everything as a Service” (XaaS) paradigms. This includes modeling, designing, developing, publishing, monitoring, managing, operating, delivering, and scaling XaaS offerings from the cloud to the edge. The conference is a prime international forum for researchers, academics, businesses, industry, and standard bodies to exchange the latest advances in the state-of-the-art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing. IEEE CLOUD 2026 invites researchers, practitioners, and innovators to submit original papers addressing all aspects of cloud computing infrastructure, technologies, applications, and business innovations. Topics of interest include but are not limited to the following: Cloud Architecture and Infrastructure – Data center architectures – Virtualization and multi-tenancy – Cloud storage – Cloud-native programming models (serverless, microservices, service mesh, etc.) – Software-based networking technologies (SDN, NFV) – Multi-cloud and cloud federation environments – Private and hybrid cloud environments – Edge and Fog computing infrastructure Cloud Management and Operation – Performance monitoring and optimization – Fault tolerance, high availability, and reliability – Resource allocation and scheduling – Load balancing and automated scaling – Cost optimization strategies – DevOps, CI/CD, IaC and cloud automation – Optimizing AI workloads on heterogeneous infrastructure – Optimizing heterogeneous infrastructure for AI workloads Sustainable Cloud Computing – Carbon footprint measurement for hardware and software systems – Carbon-aware and grid-aware system management – Sustainable data center design – Sustainable software development practices for cloud services – Energy-efficient service architectures – Green cloud architectures and solutions Cloud Security and Privacy – Trusted environments and Zero trust architectures – Identity and access management, authorization, and authentication – Assurance, audit, certification, regulatory compliance – Privacy-aware and cross-data center data management Cloud Computing in Emerging Technologies – AI and ML in cloud environments – Edge intelligence & AI analytics at the edge – IoT cloud platforms – Digital twins & metaverse Applications – Quantum computing integration – 5G/6G and cloud integration – Blockchain in cloud services Cloud Economics – Strategies for enterprise business transformation – Cloud Service Level Agreements (SLAs) and Service Level Objectives (SLOs) – Economic and business models for XaaS (including RoI analysis) – Economic models for AI cloud deployments – Adaptive pricing strategies – Cross-cloud market mechanisms
Last updated by Dou Sun on

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