Traffic and trend analysis of local and wide area networks for a distributed PACS implementation

Robert J. Gac, Doug Harding, John Weiser, Anna K. Chacko, Martin Radvany, John Romlein

Research output: Contribution to journalConference article

Abstract

Inductive Modeling Techniques (IMT) in a stand alone, distributed Picture Archiving and Communication System (PACS) or telemedicine environment can be utilized to monitor SNMP (Simple Network Management Protocol) enabled devices such as network switches, servers or workstations. A comprehensive approach using IMT is presented across the stages of the PACS lifecycle: Pre-PACS, Implementation, and Clinical Use. At each stage of the cycle, the results of IMT can be utilized to assist in assessing and forecasting future system loading. This loading represents a clinical trend analysis equating to the clinical workflow and delivery of services. Specific attention is directed to an understanding and thorough depiction of IMT methodology, focusing on the use of SNMP, the Management Information Base (MIB), and the data stream output that is mapped and placed in an object-oriented database and made available for web-based, real time, in-depth viewing and/or analysis. A thorough description of these outputs is presented, spotlighting potential report applications such as system failures; existing system, CPU, workstation, server and LAN/WAN link utilization; packet rates; application isolation; notification of system alarms; fault isolation; high/low bandwidth users; and data transfer rates. These types of data are increasingly required for programming LAN/WAN upgrades as digital imaging and PACS are implemented.

Original languageEnglish (US)
Pages (from-to)447-457
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3980
StatePublished - Jan 1 2000
EventMedical Imaging 2000 - PACS Design and Evaluation: Engineering and Clinical Issues - San Diego, CA, USA
Duration: Feb 15 2000Feb 17 2000

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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