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IEEE CLOUD 2024 : IEEE International Conference on Cloud Computing | |||||||||||||||||
Link: https://cloud.conferences.computer.org/2024/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
IEEE International Conference on Cloud Computing (IEEE CLOUD 2024)
July 7-13, 2024, Shenzhen, China https://cloud.conferences.computer.org/2024/ IEEE CLOUD is the flagship conference focusing on innovative cloud computing across all " Everything as a service" paradigms (XaaS). 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 fundamental 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 2024 invites original papers addressing all aspects of cloud computing infrastructure, applications, and business innovations. Topics of interest include but are not limited to the following: Cloud and AI * Cloud Computing for AI (LLMs, distributed machine learning, federated learning, etc.) * AI for the Cloud (predictive analysis, anomaly detection, automation for load balancing, remediation, and migration) * Use of Cloud to Improve AI Research and Deployment and Automation for Remediation & Mitigation * Observability, Transparency, and Reproducibility Infrastructure * Cloud Computing Systems and Data Center Architectures * Cloud-Centric Network Architectures (SDN, NFV, etc) * Cloud-Native Programming Models (Serverless, Microservices, Containers, etc.) * Virtualization, Containers, and Virtual Machines * Cloud Storage * Multi-Tenancy in the Cloud * Edge and Fog Computing Infrastructure * Internet-of-Things Infrastructure and Cyber-Physical Systems Cloud-based Applications * Large-Scale Cloud Applications * Machine Learning, Deep Learning, and LLM Applications * Distributed Ledger Applications * IoT Applications * Mobile Applications * Digital Twins & Metaverse Applications Cloud Management and Operations * Hybrid-Cloud Integration * Multi-Cloud Environments * Inter-Cloud Inoperability * Distributed and Parallel Query Processing * Resource Management * Cloud Metering and Monitoring * Energy Efficiency, Sustainability, and Management * Fault Tolerance, High availability, and Reliability * Cloud Service Adaptation and Automation * Cloud Federation, Service Composition * Sustainable Cloud Computing Cloud Security * Confidential Cloud Computing and Trusted Cloud Environments * Access Control, Authorization, and Authentication * Assurance, Audit, Certification, Compliance * Privacy-aware Data Management * Cross Data Center and Data Management Cloud Economics * Cloud Strategy for Enterprise Business Transformation * Cloud Service Level Agreement (SLAs) * Economics and Business Models for XaaS * Cloud Quality Management * Cloud ROI Analysis, Cost, and Pricing * Cross Cloud Data Market and Trading Cloud Service Delivery * Infrastructure as a Service (IaaS) * Platform as a Service (PaaS) * Function as a Service (FaaS) * Software as a Service (SaaS) * Network / Storage as a Service * Machine Learning as a Service * LLM as a Service Cloud Computing Paradigms * Quantum Cloud Computing * Sky Computing * Edge Cloud Computing * Mobile Cloud Computing * Satellite Cloud Computing * Computing Continuum and Edge-Cloud-HPC Federation IMPORTANT DATES (ANYWHERE ON EARTH) December 1, 2023: Easy Chair open for submissions March 17, 2024: Deadline to register papers March 24, 2024: Deadline for final submissions May 6, 2024: Acceptance notifications July 7-13, 2024: SERVICES Congress in Shenzhen, China MANUSCRIPT GUIDELINES AND SUBMISSION INFORMATION Please visit theˇInformation for Authors pageˇon the Congress website for manuscript guidelines: https://services.conferences.computer.org/2024/info-for-authors/ GENERAL CHAIRS Tevfik Kosar, University at Buffalo Sreekrishnan Venkateswaran, Kyndryl Shangguang Wang, BUPT PROGRAM CHAIRS Xuanzhe Liu, Peking University Seetharami Seelam, IBM Research, Yorktown Santonu Sarkar, Birla Institute of Technology & Science PUBLICITY CHAIRS Nicola Bena, University of Milan Bahman Javadi, Western Sydney University Xuan Lu, University of Arizona Madhumita Phukan, Tech Mahindra Carlos Westphall, Federal University of Santa Catarina Zaipeng Xie, Hohai University |
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