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Experience with PACS in an ATM/Ethernet switched network environment
Summary
Legacy local area networks (LANs) struggle with large picture archiving and communication systems (PACS). Switching technologies, like ATM/Ethernet, offer a solution for improved bandwidth and network performance in PACS environments.
Area of Science:
- Computer Science
- Networking
- Medical Informatics
Background:
- Traditional shared media LANs are insufficient for large-scale Picture Archiving and Communication Systems (PACS).
- PACS environments exhibit asymmetric network load, requiring higher bandwidth for servers than clients.
- Scalability is a key challenge, as network throughput must not degrade with increasing PACS nodes.
Purpose of the Study:
- To evaluate the suitability of advanced network architectures for large-scale PACS.
- To address the limitations of legacy LAN technologies in supporting growing PACS demands.
- To propose a cost-effective migration strategy for integrating new networking technologies into existing PACS infrastructure.
Main Methods:
- Analysis of network load characteristics in client-server PACS architectures.
- Investigation of switching technologies, specifically Asynchronous Transfer Mode (ATM) and Ethernet switching.
- Examination of the LAN Emulation (LANE) specification for integrating ATM and legacy Ethernet systems.
Main Results:
- Switching technologies, particularly ATM, provide necessary bandwidth and support for virtual networking in PACS.
- A combined ATM/Ethernet switching environment offers an incremental migration path, leveraging ATM's benefits while preserving existing infrastructure.
- Ethernet switching significantly improves performance over shared media Ethernet.
Conclusions:
- A combined ATM/Ethernet switching architecture is well-suited for large-scale PACS, balancing performance and cost-effectiveness.
- The LANE specification enables seamless coexistence of ATM and legacy Ethernet systems.
- This network architecture facilitates an efficient upgrade path for PACS networks, meeting scalability and performance requirements.