The Experts below are selected from a list of 13221 Experts worldwide ranked by ideXlab platform
Danny Hughes - One of the best experts on this subject based on the ideXlab platform.
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zero wire a deterministic and low latency wireless bus through symbol synchronous transmission of optical signals
International Conference on Embedded Networked Sensor Systems, 2020Co-Authors: Jonathan Oostvogels, Fan Yang, Sam Michiels, Danny HughesAbstract:The performance dichotomy between wired and wireless networks for the Internet of Things primarily arises from the inherent complexity and inefficiency of networking abstractions such as routing, medium access control and store-and-Forward Packet switching. This paper aims to enable a new class of latency-sensitive applications by breaking all three of these abstractions to deliver a performance envelope that resembles that of a wired bus in terms of deterministic latency and throughput. The essence of this approach is a novel networking paradigm for optical wireless communication, referred to as a symbol-synchronous bus, wherein a mesh of nodes concurrently transmit LED-based signals. This paper realises the paradigm within a platform called Zero-Wire and evaluates it on a 25-node testbed under laboratory conditions. Key end-to-end performance measurements on this physical prototype include 19 kbps of contention-agnostic goodput, interface-level latency under 1 ms for two-byte frames across four hops, jitter on the order of 10s of μs, and a base reliability of 99%. These first results indicate a bright future for the under-explored area of optical wireless mesh networks in delivering ubiquitous connectivity through a simple and low-cost physical layer.
Winston K G Seah - One of the best experts on this subject based on the ideXlab platform.
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modelling software defined networking software and hardware switches
Journal of Network and Computer Applications, 2018Co-Authors: Deepak Singh, Yuancheng Lai, Yingdar Lin, Winston K G SeahAbstract:Abstract In Software-Defined Networking (SDN), a switch is a Forwarding device that moves data Packets in a network. A software switch handles Forwarding functions in software and thus cannot Forward Packet at line speed while a hardware switch leverages optimised Forwarding hardware to Forward Packets at line speed. However, there has been very little research in the literature to help network engineers understand the tradeoffs in choosing one over the other. In this paper, we develop a unified queueing model for characterizing the performance of hardware switches and software switches in SDN. The unified queueing model is an analytical tool for engineers to predict delay, Packet loss and throughput in their SDN deployments. Existing queueing models of SDN have focused on performance analysis of software switches, while our work presented herein is the first to present a unified analysis of hardware and software switches. Our proposed models exhibit errors below 5% compared to simulation. Between a hardware and software switch, the evaluation shows that a hardware switch achieves an average 80% lower delay and up to 100% lower Packet loss probability compared to a software switch. The more a hardware switch involves the controller for decisioning, the lower the gains in terms of Packet delays through the switch.
Jonathan Oostvogels - One of the best experts on this subject based on the ideXlab platform.
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zero wire a deterministic and low latency wireless bus through symbol synchronous transmission of optical signals
International Conference on Embedded Networked Sensor Systems, 2020Co-Authors: Jonathan Oostvogels, Fan Yang, Sam Michiels, Danny HughesAbstract:The performance dichotomy between wired and wireless networks for the Internet of Things primarily arises from the inherent complexity and inefficiency of networking abstractions such as routing, medium access control and store-and-Forward Packet switching. This paper aims to enable a new class of latency-sensitive applications by breaking all three of these abstractions to deliver a performance envelope that resembles that of a wired bus in terms of deterministic latency and throughput. The essence of this approach is a novel networking paradigm for optical wireless communication, referred to as a symbol-synchronous bus, wherein a mesh of nodes concurrently transmit LED-based signals. This paper realises the paradigm within a platform called Zero-Wire and evaluates it on a 25-node testbed under laboratory conditions. Key end-to-end performance measurements on this physical prototype include 19 kbps of contention-agnostic goodput, interface-level latency under 1 ms for two-byte frames across four hops, jitter on the order of 10s of μs, and a base reliability of 99%. These first results indicate a bright future for the under-explored area of optical wireless mesh networks in delivering ubiquitous connectivity through a simple and low-cost physical layer.
Deepak Singh - One of the best experts on this subject based on the ideXlab platform.
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modelling software defined networking software and hardware switches
Journal of Network and Computer Applications, 2018Co-Authors: Deepak Singh, Yuancheng Lai, Yingdar Lin, Winston K G SeahAbstract:Abstract In Software-Defined Networking (SDN), a switch is a Forwarding device that moves data Packets in a network. A software switch handles Forwarding functions in software and thus cannot Forward Packet at line speed while a hardware switch leverages optimised Forwarding hardware to Forward Packets at line speed. However, there has been very little research in the literature to help network engineers understand the tradeoffs in choosing one over the other. In this paper, we develop a unified queueing model for characterizing the performance of hardware switches and software switches in SDN. The unified queueing model is an analytical tool for engineers to predict delay, Packet loss and throughput in their SDN deployments. Existing queueing models of SDN have focused on performance analysis of software switches, while our work presented herein is the first to present a unified analysis of hardware and software switches. Our proposed models exhibit errors below 5% compared to simulation. Between a hardware and software switch, the evaluation shows that a hardware switch achieves an average 80% lower delay and up to 100% lower Packet loss probability compared to a software switch. The more a hardware switch involves the controller for decisioning, the lower the gains in terms of Packet delays through the switch.
Fan Yang - One of the best experts on this subject based on the ideXlab platform.
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zero wire a deterministic and low latency wireless bus through symbol synchronous transmission of optical signals
International Conference on Embedded Networked Sensor Systems, 2020Co-Authors: Jonathan Oostvogels, Fan Yang, Sam Michiels, Danny HughesAbstract:The performance dichotomy between wired and wireless networks for the Internet of Things primarily arises from the inherent complexity and inefficiency of networking abstractions such as routing, medium access control and store-and-Forward Packet switching. This paper aims to enable a new class of latency-sensitive applications by breaking all three of these abstractions to deliver a performance envelope that resembles that of a wired bus in terms of deterministic latency and throughput. The essence of this approach is a novel networking paradigm for optical wireless communication, referred to as a symbol-synchronous bus, wherein a mesh of nodes concurrently transmit LED-based signals. This paper realises the paradigm within a platform called Zero-Wire and evaluates it on a 25-node testbed under laboratory conditions. Key end-to-end performance measurements on this physical prototype include 19 kbps of contention-agnostic goodput, interface-level latency under 1 ms for two-byte frames across four hops, jitter on the order of 10s of μs, and a base reliability of 99%. These first results indicate a bright future for the under-explored area of optical wireless mesh networks in delivering ubiquitous connectivity through a simple and low-cost physical layer.