A Real-Time Ethernet Network at Home

F.T.Y. Hanssen; P.H. Hartel; T. Hattink; P.G. Jansen; J. Wijnberg; J. Scholten

A Real-Time Ethernet Network at Home

F.T.Y. Hanssen, P.H. Hartel, T. Hattink, P.G. Jansen, J. Wijnberg, J. Scholten

Research output: Contribution to conference › Paper › peer-review

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Abstract

This paper shows the current state of our research into a home network which provides both real-time and non-real-time capabilities for one coherent, distributed architecture. It is based on a new type of real-time token protocol that uses scheduling to achieve optimal token-routing in the network. Depending on the scheduling algorithm, bandwidth utilisations of 100% are possible. Token management, to prevent token-loss or multiple tokens, is essential to support a dynamic, plug-and-play configuration. Our network will support inexpensive, small appliances as well as more expensive, large appliances. Small appliances, like sensors, would contain low-cost, embedded processors with limited computing power, which can handle lightweight network protocols. All other operations can be delegated to other appliances that have sufficient resources. This provides a basis for transparency, as it separates controlling and controlled object.

Original language	English
Number of pages	4
Publication status	Published - Jun 2002
Event	14th EUROMICRO International Conference on Real-Time Systems 2002 - Vienna, Austria Duration: 19 Jun 2002 → 21 Jun 2002 Conference number: 14

Conference

Conference	14th EUROMICRO International Conference on Real-Time Systems 2002
Country	Austria
City	Vienna
Period	19/06/02 → 21/06/02

Keywords

CAES-PS: Pervasive Systems

Access to Document

Hanssen2002real-time
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abstract = "This paper shows the current state of our research into a home network which provides both real-time and non-real-time capabilities for one coherent, distributed architecture. It is based on a new type of real-time token protocol that uses scheduling to achieve optimal token-routing in the network. Depending on the scheduling algorithm, bandwidth utilisations of 100% are possible. Token management, to prevent token-loss or multiple tokens, is essential to support a dynamic, plug-and-play configuration. Our network will support inexpensive, small appliances as well as more expensive, large appliances. Small appliances, like sensors, would contain low-cost, embedded processors with limited computing power, which can handle lightweight network protocols. All other operations can be delegated to other appliances that have sufficient resources. This provides a basis for transparency, as it separates controlling and controlled object.",

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AU - Hanssen, F.T.Y.

AU - Hartel, P.H.

AU - Hattink, T.

AU - Jansen, P.G.

AU - Wijnberg, J.

AU - Scholten, J.

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N2 - This paper shows the current state of our research into a home network which provides both real-time and non-real-time capabilities for one coherent, distributed architecture. It is based on a new type of real-time token protocol that uses scheduling to achieve optimal token-routing in the network. Depending on the scheduling algorithm, bandwidth utilisations of 100% are possible. Token management, to prevent token-loss or multiple tokens, is essential to support a dynamic, plug-and-play configuration. Our network will support inexpensive, small appliances as well as more expensive, large appliances. Small appliances, like sensors, would contain low-cost, embedded processors with limited computing power, which can handle lightweight network protocols. All other operations can be delegated to other appliances that have sufficient resources. This provides a basis for transparency, as it separates controlling and controlled object.

AB - This paper shows the current state of our research into a home network which provides both real-time and non-real-time capabilities for one coherent, distributed architecture. It is based on a new type of real-time token protocol that uses scheduling to achieve optimal token-routing in the network. Depending on the scheduling algorithm, bandwidth utilisations of 100% are possible. Token management, to prevent token-loss or multiple tokens, is essential to support a dynamic, plug-and-play configuration. Our network will support inexpensive, small appliances as well as more expensive, large appliances. Small appliances, like sensors, would contain low-cost, embedded processors with limited computing power, which can handle lightweight network protocols. All other operations can be delegated to other appliances that have sufficient resources. This provides a basis for transparency, as it separates controlling and controlled object.

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