The Enterprise Computing Conference (EDOC 2013)

Organization: Athabasca University

Venue: simon fraser university harbour centre s

Location: Vancouver, British Columbia, Canada

Event Date/Time: Sep 09, 2013 End Date/Time: Sep 13, 2013
Abstract Submission Date: Mar 22, 2013
Paper Submission Date: Mar 29, 2013
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The IEEE EDOC Conference is the key annual event in enterprise computing. EDOC conferences address the full range of models, methodologies, and engineering technologies contributing to intra- and inter-enterprise distributed/cloud application systems. EDOC 2013 will be the 17th event in the series of conferences. Since 1997, EDOC has brought together leading computer science researchers, IT decision makers, enterprise architects, solution designers and practitioners to discuss enterprise computing challenges, models and solutions from the perspectives of academia, industry and government. The IEEE EDOC Conference emphasizes a holistic view of enterprise applications engineering and management, fostering integrated approaches that can address and relate processes, people and technology. Openness and distributed computing, based on services, components and objects are important themes. IEEE EDOC 2013 welcomes high quality scientific submissions as well as papers on enterprise computing industry experiences. This year, the main theme will be on the impacts of services and cloud to enterprise architecture. Expert panel discussions and keynotes will address hot topics and issues in the domain.


515 West Hastings Street


Athabasca University
Simon Fraser University

Additional Information


The IEEE EDOC conference seeks high-quality contributions addressing the domains, life-cycle issues, and realization technologies involved in building, deploying and operating enterprise computing systems. Suggested areas include, but are not limited to:

Enterprise Architecture and Enterprise Application Architecture

  • Enterprise architecture frameworks
  • Enterprise architecture analysis, assessment and prediction
  • Cloud computing and the evolution of enterprise architectures
  • Enterprise ontologies

Model-based Approaches

  • Model-driven architectures and model-driven software development
  • Modeling based on domain specific languages (DSL)
  • Approaches based on reference architectures
  • Collaborative development and cooperative engineering issues

Service-Oriented Architectures (SOA) and Enterprise Service Architectures (ESA)

  • Service engineering and evolution of related specifications
  • Semantics-based service engineering
  • Service composition, orchestration and choreography
  • Enterprise service bus
  • Complex event processing and event-driven architectures

Governance in Service-oriented Architectures

  • Service policies, contract definition and enforcement
  • Security/privacy policy definition and description languages
  • Security/privacy policy interoperability

Business Process Management (BPM)

  • Business process modeling, verification, configuration and implementation
  • Process-aware information systems (PAIS), Human-centric PAIS, Social BPM
  • Managing business process variability, adaptation and evolution in PAIS
  • Distributed and cross-organizational business processes
  • Data-intensive processes
  • Cloud impact on BPM, business processes in the cloud
  • Emerging BPM paradigms (e.g., adaptive case management, data-driven processes)

Business Analytics

  • Modeling and predictive analytics for enterprise computing
  • Data-driven enterprise strategy
  • Collaboration enterprise analytic platforms
  • Business process intelligence (e.g., process mining, process performance management)
  • Continuous, online analytics for big data in the enterprise

Business Rules

  • Business rule languages and engines
  • Relation between business rules and business processes
  • Business rules and service computing
  • Business rules and compliance management, business process compliance

Information Integration and Interoperability

  • Business object modeling methodologies and approaches
  • Taxonomies, ontologies and business knowledge integration
  • Master data management, data mining and (real-time) data warehousing
  • Flexible information models and systems (e.g., object-driven processes)

Networked Enterprise Solutions

  • Enterprise interoperability, collaboration and its architecture
  • Virtual organizations, including multi-agent system support
  • Cross-enterprise collaboration in a world of cloud, social and big data
  • Digital ecosystems
  • Trust management

Enterprise Applications Deployment and Governance

  • Performance and operational risk prediction and measurement
  • Quality of service (QoS) and cost of service (CoS)
  • Management and maintenance of enterprise computing systems
  • Information assurance
  • Human and social organizational factors in enterprise computing

Emerging Trends in Distributed Enterprise Applications

  • Social information and innovation networks, social media impact on the enterprise
  • People-centric collaboration systems, people-centric services
  • Private and public cloud computing Infrastructures
  • Idea management and crowdsourcing
  • Enterprise 2.0, Web 2.0 and beyond
  • Mobile enterprise services
  • Industry specific solutions (e.g. for aerospace, automotive, finance, logistics, medicine and telecommunications)
  • Research and public sector collaboration (e.g. in e-health, e-government, e-science)