Información de la conferencia

AISA 2020: IEEE SERVICES Workshop on Artificial Intelligence and Services Adaption

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Día de Entrega:
2020-04-06 Extended
Fecha de Notificación:
2020-04-27
Fecha de conferencia:
2020-07-20
Ubicación:
Beijing, China
Ediciones:
1
Vistas: 13100   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

35,8 / 100
Puesto n.º 5.611 de 5.682 congresos · 99% superior

N.º 727 de 739 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
19
Atención de la comunidad (10%)
8
Integridad del registro público (15%)
25

Datos utilizados: Ediciones documentadas: 1 · Investigadores que abrieron esta página en los últimos 24 meses: 2

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

AISA 2020 (IEEE SERVICES Workshop on Artificial Intelligence and Services Adaption) is an academic conference held in Beijing, China on 2020-07-20. The paper submission deadline is 2020-04-06 (extended). Acceptance notifications are sent on 2020-04-27.

With the continuous emergence of new service technologies such as RESTful and microservices, service software has evolved from a simple homogeneous system to a service ecosystem with an open environment, cross-domain scenarios, and complex business. Traditional service theories and technologies based on WS-* framework are experiencing difficulties in achieving precise services adaption, dynamic composition and coupling integration between massive heterogeneous services. In response to new service adaptation requirements, intelligent service adaptation theory and methods need to be studied to solve the two major problems: how to effectively and intelligently adapt heterogeneous services and how to assure the QoS during service evolution and operation. This workshop aims to bring together world-leading researchers and industrial practitioners interested in intelligence services adaption including: (1) theoretical model and computational framework; (2) adaptation process enabling technology; (3) services evolution, efficiency evaluation and optimization; (4) intelligent service adaptation tools and platform; (5) real-world application of intelligent service adaptation. All topics relevant to Intelligent Microservices lifecycle are of interest. Foundations of Microservices Knowledge-driven DevOps Framework based Microservices Architecture Multiagent Modelling for Microservice Ecosystem Intelligent Microservice Discovery and Recommendation Formal Methods for Microservices Systems Microservice Governance Framework Microservices Industry Standards and Solution Stacks Ontology and Microservice Choregraph Workflow Recommendation and Customization Task Scheduling in Hybrid Human-Machine Workflow Execution Microservice for Business Process Modelling and Management Performance, Security, Privacy and Trust in Business Process Management Quality of Services and Cost of Services in Microservice Governance Autonomic Runtime Fault Detection and Recovery in Microservice Testing of Microservice systems Availability and Reliability in Microservice systems
Última actualización por Dou Sun el

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