Testing the feasibility of synchronous bandwidth allocation for time-critical communication in FDDI networks

2002 ◽  
Author(s):  
Sijing Zhang ◽  
Tee-Hiang Cheng ◽  
K.R. Subramanian ◽  
Liren Zhang ◽  
Chee Heng Tan
Keyword(s):  
Bandwidth Allocation ◽  
Fddi Networks ◽  
Synchronous Bandwidth Allocation ◽  
Time Critical

OR.NET RT: how service-oriented medical device architecture meets real-time communication

2018 ◽  
Vol 63 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Jonas H. Pfeiffer ◽  
Martin Kasparick ◽  
Benjamin Strathen ◽  
Christian Dietz ◽  
Max E. Dingler ◽  
...  
Keyword(s):  
Real Time ◽  
Medical Device ◽  
Medical Devices ◽  
Bandwidth Allocation ◽  
Service Oriented Architecture ◽  
Sensor Data ◽  
Critical Data ◽  
Communication Scheme ◽  
Service Oriented ◽  
Time Critical

Abstract Today’s landscape of medical devices is dominated by stand-alone systems and proprietary interfaces lacking cross-vendor interoperability. This complicates or even impedes the innovation of novel, intelligent assistance systems relying on the collaboration of medical devices. Emerging approaches use the service-oriented architecture (SOA) paradigm based on Internet protocol (IP) to enable communication between medical devices. While this works well for scenarios with no or only soft timing constraints, the underlying best-effort communication scheme is insufficient for time critical data. Real-time (RT) networks are able to reliably guarantee fixed latency boundaries, for example, by using time division multiple access (TDMA) communication patterns. However, deterministic RT networks come with their own limitations such as tedious, inflexible configuration and a more restricted bandwidth allocation. In this contribution we overcome the drawbacks of both approaches by describing and implementing mechanisms that allow the two networks to interact. We introduce the first implementation of a medical device network that offers hard RT guarantees for control and sensor data and integrates into SOA networks. Based on two application examples we show how the flexibility of SOA networks and the reliability of RT networks can be combined to achieve an open network infrastructure for medical devices in the operating room (OR).

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