End-to-end delays
Computing the exact worst-case End-to-end delays in a Spacewire network using Timed Automata
... Due to the space requirements (an important one is the radiation tolerance), routers have to store a minimal amount of ...data. To ensure this ability, SpaceWire uses wormhole routing: packets are ...
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Worst-case end-to-end delays evaluation for SpaceWire networks
... as delays are concerned, the delivery of a packet p is equivalent to the following two-phase ...routed to its destination through intermediary switches and creates a ”virtual circuit” between the ...
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Using Network Calculus to compute end-to-end delays in SpaceWire networks
... (up to 200 Mbps) to carry both types of traffic at the same ...order to reduce memory size (radiation-hardened memory is very expensive), SpaceWire uses wormhole routing to transmit the data ...
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Modeling a spacewire architecture using timed automata to compute worst-case end-to-end delays
... switching to connect several equipments. Due to the space requirements (specially the radiation tolerance), a minimal amount of data can be stored in the ...routers. To ensure this, SpaceWire uses ...
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Modeling a spacewire architecture using timed automata to compute worst-case end-to-end delays
... switching to connect several equipments. Due to the space requirements (specially the radiation tolerance), a minimal amount of data can be stored in the ...routers. To ensure this, SpaceWire uses ...
5
Predicting Bus End-Trip Delays Using Different Machine Learning Algorithms to Model Planning Effectiveness
... modeling end-trip arrival time for each bus trip based only on offline input available to public transport ...intend to predict the exact delays, but rather to classify ...The ...
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On the Trade-off Between Spectrum Efficiency with Dedicated Access and Short End-to-End Transmission Delays with Random Access in DVB-RCS2
... is to assess the achievable performance with the different access methods when several TCP sessions are simultaneously opened on the satellite ...sessions to the second node, which represents the gateway, ...
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End-to-end delay analysis in an Integrated Modular Avionics architecture
... b) Transmission latency through the AFDX network: it is the difference between the data frame release time from the output of the source module and the re- ception time in the destination module. In an AFDX network, this ...
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A Non-intrusive Tool Chain to Optimize MPSoC End-to-end Systems
... etc.), to leverage the full capacity of these re-configurable ...required to perform ...] to propose a high-speed link between the emulated circuit and the host computer based on a registry bank, ...
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TurboMouse: End-to-end Latency Compensation in Indirect Interaction
... explored to reduce or compensate for end-to- end latency, either controlling the entire graphical rendering pipeline [8], building homemade hardware devices and han- dling systems [10] or ...
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An end-to-end spike-based image compression architecture
... possible to perfectly recover the initial ...interspike delays that can participate to reconstruction of the input ...interspike delays, one can “listen” to the neural firing response ...
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Dealing with AADL End-to-end Flow Latency with UML MARTE
... Figure 3. Flow extracted from an AADL model. There are three kinds of ports in AADL: data, event and event-data. Data ports are for data transmissions without queuing. Connections between data ports are either immediate ...
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Dealing with AADL end-to-end Flow Latency with UML Marte.
... Figure 3. Flow extracted from an AADL model. There are three kinds of ports: data, event and event-data. Data ports are for data transmissions without queuing. Connections between data ports are either immediate or ...
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CoMe4ACloud: An End-to-End Framework for Autonomic Cloud Systems
... interesting to follow this 820 work in the ...metamodels to describe resour- ces, applications, adaptation policies, ...proposed to fulfill some requirements for quality-of-service and resource ma- ...
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End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
... strategies to accelerate it in our ...price to pay is that they rely on convexity, and they require storing into memory the full training ...augmentation. To partially leverage these fast algorithms ...
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Response Selection for End-to-End Retrieval-Based Dialogue Systems
... encoder to encode both the whole context and the candidate response and project them into the same space in contrast to what ( Lowe et ...similar to the ...tem to systems of the same category ...
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Towards End-to-End spoken intent recognition in smart home
... sequence to support the intent ...is to set a device and the slots action and device provide information about which entities are concerned with the voice ...
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End-to-End 6DoF Pose Estimation From Monocular RGB Images
... an end-to-end network 6D-VNet for 6DoF pose estimation of vehicles from monocular RGB ...rotations. To the best of our knowledge, the incorporation of translation regression into the network ...
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Architecting end-to-end convergence of Web and Telco services
... known to have some security holes which are currently being addressed by the standardization ...need to be addressed as brokers are unique entry points for the converged flows and an appropriate load ...
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End-to-end named entity and semantic concept extraction from speech
... text to be processed [1]. Rule-based NER systems are usually built to process written language and are not robust to ASR ...ployed to process ASR ones, even if that can be partially com- ...
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