DISA Workshop

Workshop on Intelligent Computing Empowered Data Intensive Services Application (DISA)

Service-oriented architecture (SOA) is a widely accepted and engaged paradigm for the realization of business processes that incorporate several distributed, loosely coupled partners. Today, Web services and the Business Process Execution Language for Web Services (BPEL4WS, BPEL for short) are the established technologies to implement such a service-oriented architecture. Generally, we define the notion of a data-intensive services based application as a collection of related structured activities or tasks (services) that produce a specific result; huge data sets have to be exchanged between several loosely coupled services in such a data-intensive application. In this case, the AI Empowered DISA has been applied in massive data successfully, such as data mining and analysis from mobile device data, population migration and virus contacts discovery form social media.

DISA focuses on the challenges imposed by data-intensive services based applications, and on the different state-of-the-art solutions proposed to overcome emerging challenges. The aim of DISA is to encourage academic researchers and industry practitioners to present and discuss all methods and technologies related to research and experiences in a broad spectrum of data-intensive services based applications.

Workshop Papers will be published in a dedicated section of the Chinacom Conference Proceedings.

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, EI Engineering Index (Compendex and Inspec databases), DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.

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The topics of the workshop include but not limited to:

1) Data intensive services representation

  • Modeling of data intensive services
  • Reference models for data intensive services
  • Semantic models for data intensive services
  • Logistics Ontology for data intensive services
  • Integrating data intensive services models with Web service models
  • Repositories and dictionaries for data intensive services
  • Data intensive service data integration

2) Data intensive services based application building, management and coordination

  • Data intensive service design and engineering
  • Data intensive service composition, orchestration and choreography
  • Data intensive service runtime management and monitoring
  • Services for managing decentralized data intensive services
  • Data intensive service quality aspects and their management
  • Negotiation protocols for data intensive services
  • Market-based coordination of data intensive services, i.e., auctions, exchanges
  • Modeling, simulation and optimization of data intensive services
  • Verification of data intensive services
  • Transactional safeguarding of data intensive services
  • Service-oriented architectures for the setup and enactment of data intensive services
  • Mashups and data intensive services
  • Agents for the lifecycle management of data intensive services
  • Performance aspects of data intensive application

3) SLA Management

  • Languages for describing SLAs for data intensive services along and across value chains
  • Semantic annotation of SLA for data intensive services
  • SLA negotiation for data intensive services
  • SLA monitoring for data intensive services
  • Integrating data intensive services into SLA management infrastructures

4) Case studies and demos

  • Industry-specific case studies on service-oriented computing
  • Innovative research prototypes and demonstrators
  • Empirical research on service-oriented computing

Workshop Chairs

Prof. Ying Li, Professor, Zhejiang University, China
Prof. Honghao Gao, Shanghai University, China

Workshop Track Deadlines

Submission deadline
11 October 2021
Notification deadline
25 October 2021
Camera-ready deadline
8 November 2021