Información de la conferencia
AISA 2020: IEEE SERVICES Workshop on Artificial Intelligence and Services Adaption
https://conferences.computer.org/services/2020/workshops/aisa2020.htmlDía de Entrega: |
2020-04-06 Extended |
Fecha de Notificación: |
2020-04-27 |
Fecha de Conferencia: |
2020-07-20 |
Ubicación: |
Beijing, China |
Años: |
1 |
Vistas: 10861 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
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 en 2020-02-23
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| CCF | Nombre Completo | Factor de Impacto | Editor | ISSN |
|---|---|---|---|---|
| Artificial Intelligence Review | 13.9 | Springer | 0269-2821 | |
| c | Engineering Applications of Artificial Intelligence | 8.0 | Elsevier | 0952-1976 |
| c | Artificial Intelligence in Medicine | 6.1 | Elsevier | 0933-3657 |
| a | Artificial Intelligence | 4.6 | Elsevier | 0004-3702 |
| Artificial Intelligence and Law | 3.1 | Springer | 0924-8463 | |
| Progress in Artificial Intelligence | 2.4 | Springer | 2192-6352 | |
| c | Journal of Experimental and Theoretical Artificial Intelligence | 1.7 | Taylor & Francis | 0952-813X |
| Annals of Mathematics and Artificial Intelligence | 1.200 | Springer | 1012-2443 | |
| International Journal on Artificial Intelligence Tools | 1.000 | World Scientific | 0218-2130 | |
| c | International Journal of Pattern Recognition and Artificial Intelligence | 0.900 | World Scientific | 0218-0014 |