Conference Information

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

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Submission Date:
2020-04-06 Extended
Notification Date:
2020-04-27
Conference Date:
2020-07-20
Location:
Beijing, China
Years:
1
Viewed: 13096   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

35.8 / 100
Ranked #5,611 of 5,682 conferences · Top 99%

#727 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
19
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-18

Call For Papers

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
Last updated by Dou Sun on

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