Latency (engineering)

About: Latency (engineering) is a research topic. Over the lifetime, 7278 publications have been published within this topic receiving 115409 citations. The topic is also known as: lag.

Equalized network latency for multi-player gaming

Abstract: A method is provided for equalizing latency among a group of connections that are being used by the same latency-sensitive application, such as for multi-player network gaming. Delay is added to the packet flow in each connection as necessary at the provider edge router connecting the application server to the network. An NMS connected to the provider edge router continuously monitors the round-trip delay of each connection, determines the additional delay of each connection required to equalize the delays, and informs the provider edge router. The provider edge router buffers traffic on each connection for the respective duration as indicated by the NMS. The NMS may also reroute some of the connections over higher latency resources to reduce the amount of buffering required, which provides the additional advantage of using what might otherwise be less used or economically less valued resources.

Quasi synchronous transmission in cellular networks

Abstract: Aspects of the invention include a root node of a wireless communication infrastructure that buffers data packets for transmission by base stations over an air interface. The root node determines a time delay for transmission of a data packet from the root node to each base station, a maximum time delay of those time delays, and a timing latency based upon the maximum time delay. The root node transmits the timing latency to the base stations. In response, each base station initiates transmission of data packets received by the root node after expiration of the timing latency. Alternatively, the root node, instead of the base stations, may buffer the data packets, and transmit them so that they arrive at the base stations at substantially the same time.

Falcon: a highly flexible open-source software for closed-loop neuroscience.

Abstract: Objective Closed-loop experiments provide unique insights into brain dynamics and function To facilitate a wide range of closed-loop experiments, we created an open-source software platform that enables high-performance real-time processing of streaming experimental data Approach We wrote Falcon, a C++ multi-threaded software in which the user can load and execute an arbitrary processing graph Each node of a Falcon graph is mapped to a single thread and nodes communicate with each other through thread-safe buffers The framework allows for easy implementation of new processing nodes and data types Falcon was tested both on a 32-core and a 4-core workstation Streaming data was read from either a commercial acquisition system (Neuralynx) or the open-source Open Ephys hardware, while closed-loop TTL pulses were generated with a USB module for digital output We characterized the round-trip latency of our Falcon-based closed-loop system, as well as the specific latency contribution of the software architecture, by testing processing graphs with up to 32 parallel pipelines and eight serial stages We finally deployed Falcon in a task of real-time detection of population bursts recorded live from the hippocampus of a freely moving rat Main results On Neuralynx hardware, round-trip latency was well below 1 ms and stable for at least 1 h, while on Open Ephys hardware latencies were below 15 ms The latency contribution of the software was below 05 ms Round-trip and software latencies were similar on both 32- and 4-core workstations Falcon was used successfully to detect population bursts online with ~40 ms average latency Significance Falcon is a novel open-source software for closed-loop neuroscience It has sub-millisecond intrinsic latency and gives the experimenter direct control of CPU resources We envisage Falcon to be a useful tool to the neuroscientific community for implementing a wide variety of closed-loop experiments, including those requiring use of complex data structures and real-time execution of computationally intensive algorithms, such as population neural decoding/encoding from large cell assemblies

Method, a device and a system for executing an action at a predetermined time

Abstract: A method of executing an action at a predetermined time by a device is disclosed. The device has a latency time between initiation of the execution of the action and the actual execution of the action. The method includes advancing the initiation of the execution of the action by the latency time. A device in which the method is implemented and a system including the device are also disclosed.