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IEEE SCC 2022 : 2022 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2022) | |||||||||||||
Link: https://conferences.computer.org/scc/2022/ | |||||||||||||
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Call For Papers | |||||||||||||
IEEE International Conference on Services Computing (SCC) is a flagship conference on services lifecycle, including enterprise and vertical services modeling, microservices-based solutions, services optimization, services marketing, and business process and scientific workflow management.
IEEE SCC 2022 invites original papers addressing all topics relevant to services lifecycle. The topics of contribution include but are not limited to: - Serviceology and Foundations of Services Computing . Service modelling, semantics, registry, discovery, classification, and recommendation . Service composition, patterns, algebra and calculus . Service evolution . Service-Oriented architecture (SOA) and microservice-oriented architecture (MOA) . Service-oriented system engineering (SOSE) . Knowledge management in services . Internet of Services and service ecosystem . Education in service science and engineering - Service QoS, Lifecycle Management, and DevOps . Quality of Services (QoS) and service quality assurance, and Quality of Experiences (QoE) . SLA (Service Level Agreements), SLM (service level management), business impact management . GRC (governance, regulation, and compliance), and monitoring & event management . Business support services (BSS), and operations support services (OSS) . Continuous integration, continuous delivery/deployment, continuous improvement - Scientific Workflows & Business Process Integration and Management . Workflow composition, execution & resource scheduling, and enterprise service bus (ESB) . Service value chain, service value network, and API economy - AI@Scale in Services Computing . AI@Scale in services computing . AI-enabled accelerated scientific discovery, model risk management, and application and process modernization . AIOps - Industrial Internet services . Internet+, Industry 4.0, Internet of Things (IoT) as a Service . Data quality issues for analytics . IoT-enabled edge and cloud computing . Innovative service applications . Prognostics and Health Management . Financial services . Smart homes, cities, and manufacturing . Wisdom of Crowds (WOC) and crowdsourcing services . Blockchain, quantum computing, etc. |
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