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All CFPs on WikiCFP | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Present CFP : 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
EEE CloudCom is the premier conference on Cloud Computing worldwide, attracting researchers, engineers, and students from the fields of cloud computing, big data, systems architecture, service-oriented architecture, virtualization, security and privacy, high performance computing, always with an emphasis on how to build cloud computing platforms with impact.
The conference is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE), is steered by the Cloud Computing Association, and draws on the excellence of its world-class Program Committee and its participants. Accepted and presented papers will be included into the conference proceedings. CLOUD ARCHITECTURE • Virtualization technologies and enablers, Virtual machines, Containers • Unikernels and Microservices and cloud services delivery models • Networking technologies • Cloud system design with FPGAs, GPUs, APUs • Storage and virtualization, Storage & file systems • Scalability, performance, and Cloud elasticity • Resource provisioning, monitoring, management & maintenance Cloud capacity planning • Operational, economic & business models • Energy efficiency, Green data centers • Resilience, fault-tolerance, disaster recovery • Modeling & performance evaluation CLOUD SERVICES AND APPLICATIONS • Cloud services models, frameworks, Cloud protocols • Cloud programming models, Cloud Application development methodologies and tools, debugging tools, benchmarks, and • Cloud services reference models & standardization • XaaS (everything as a service including laaS, PaaS, and SaaS), Services for compute-intensive applications, for emerging technologies • Service deployment and orchestration in the Cloud, • Data management applications & services, Data-provisioning services, Systems interactions and machine learning, • Fault-tolerance & availability of cloud services and applications , Mining and analytics, Traffic prediction models and auto-scaling for Cloud services • Business models & economics of Cloud services SECURITY. PRIVACY AND TRUST • Accountability & auditing • Blockchain Cloud services • Cryptography in the Cloud, Cryptographic protocols against internal attacks in the Cloud • Hypervisor security • Authentication, Authorization, Identity management, Security as a service, Secure, interoperable identity management • Trust models for Cloud services, Trust & credential management, • Security risk management in Cloud computing environments • Privacy protection in Cloud platforms, Privacy policy framework in the Cloud Privacy-preserving data mining in the Cloud, Information sharing and data protection in the Cloud, Prevention of data loss or leakage • Energy, cost, efficiency of security in the Cloud • Security SLAs EDGE COMPUTING, IOT AND DISTRIBUTED CLOUD • Cloudlet-enabled applications, Software infrastructure for cloudlets, Distributed Cloud infrastructure • Foundations and principles of distributed Cloud computing • Architectural models, prototype implementations and applications, inter-cloud architecture models • Cloud brokers and coordination across multiple resource managers • Dynamic resource, service and context management in edge computing • Fog computing • loT cloud architectures & models • Cloud-based context-aware loT • Economics and pricing • Existing deployments and measurements of public, private, hybrid, and federated environments | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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