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An Architecture Framework for Orchestrating Context-Aware IT Ecosystems: A Case Study for Quantitative Evaluation †.

Soojin Park1, Sungyong Park2, Young B Park3

  • 1Graduate School of Management of Technology, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea. psjdream@sogang.ac.kr.

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Summary
This summary is machine-generated.

This study introduces an IT ecosystem architecture framework. It enables autonomous systems to dynamically adapt configurations for sustainable service provision in changing environments, demonstrated via unmanned forest management.

Keywords:
IT ecosystemInternet of ThingsMAKE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) loopcyber physical systemsorchestrationself-adaptive systems

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Area of Science:

  • Computer Science
  • Systems Engineering
  • Information Technology

Background:

  • The proliferation of smart devices and the Internet of Things (IoT) have led to an expansion of Information Technology (IT) service areas.
  • Traditional single-system service provision is insufficient for complex, interconnected environments.
  • The IT ecosystem, a system of systems with autonomous components, has emerged to address these challenges.

Purpose of the Study:

  • To propose an architecture framework for IT ecosystems that supports dynamic configuration changes.
  • To ensure the autonomy of individual systems within the ecosystem.
  • To enable sustainable service provision by adapting to environmental context changes.

Main Methods:

  • Development of a novel architecture framework for IT ecosystems.
  • Integration of sensor data collection for situational context recognition.
  • Simulation of an IT ecosystem for unmanned forest management for feasibility evaluation.

Main Results:

  • The proposed framework facilitates dynamic configuration adjustments in response to environmental changes.
  • Autonomous adaptation of individual systems within the IT ecosystem is maintained.
  • Quantitative evaluation demonstrated the framework's capability for continuous and sustainable service delivery.

Conclusions:

  • The proposed architecture framework effectively supports dynamic configuration changes in IT ecosystems.
  • The framework ensures system autonomy while enabling adaptation to diverse environmental contexts.
  • This approach is crucial for maintaining sustainable IT services in complex, evolving environments.