Conference Information
AISA 2020: IEEE SERVICES Workshop on Artificial Intelligence and Services Adaption
https://conferences.computer.org/services/2020/workshops/aisa2020.htmlSubmission Date: |
2020-04-06 Extended |
Notification Date: |
2020-04-27 |
Conference Date: |
2020-07-20 |
Location: |
Beijing, China |
Years: |
1 |
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Call For Papers
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
Last updated by Dou Sun in 2020-02-23
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