Towards Reliable Intelligent Transportation Systems for e-Government View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Woonsuk Suh , Kyungmee Chang , Eunseok Lee

ABSTRACT

The Intelligent Transportation Systems (ITS) is a state-of-the-art system, which maximizes mobility, safety, and usefulness through combining existing transport systems with information, communication, computer, and control technologies. Many governments have been building the ITS based on their own National ITS Architectures. The core functions of the ITS are collection, management, and provision of real time transport information, and it can be deployed based on the Common Object Request Broker Architecture (CORBA) of the Object Management Group (OMG) efficiently because it consists of many interconnected heterogeneous systems. Fault Tolerant CORBA (FT-CORBA) supports real time requirement of transport information stably through redundancy by replication of server objects. However, object replication, management, and related protocols of FT-CORBA require extra system CPU and memory resources, and can degrade the system performance both locally and as a whole. This paper proposes an improved architecture to reduce usage of CPU and memory and enhance reliability and ultimately predictability of FT-CORBA based ITS by generating and managing object replicas adaptively during system operation with an agent. The proposed architecture is expected to be applicable to other FT-CORBA based systems. More... »

PAGES

299-314

References to SciGraph publications

  • 1997. Is It an agent, or just a program?: A taxonomy for autonomous agents in INTELLIGENT AGENTS III AGENT THEORIES, ARCHITECTURES, AND LANGUAGES
  • 2000. Applying Patterns to Improve the Performance of Fault Tolerant CORBA in HIGH PERFORMANCE COMPUTING — HIPC 2000
  • 2004-10. Towards Real-Time Fault-Tolerant CORBA Middleware in CLUSTER COMPUTING
  • Book

    TITLE

    Electronic Government and the Information Systems Perspective

    ISBN

    978-3-642-22960-2
    978-3-642-22961-9

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-22961-9_24

    DOI

    http://dx.doi.org/10.1007/978-3-642-22961-9_24

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1012903989


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