Introduction to Low Latency Data

To demonstrate the performance, an innovative transceiver signal processing chain is proposed that allows a reliable and low-latency data transmission.

A distributed database utilizing the wide-spread edge computing servers to provide low-latency data access with the serializability guarantee is highly desirable for emerging edge computing applications.

In this solution, vehicles employ unicast and aggregation to acquire data from the nearest VC member via one data retrieval process, so efficient-cost and low-latency data retrieval is achieved.

In this research, we will examine an ultra-low-power protocol related to low-latency data exchange and Deep Learning Neural Network (DLNN) using neuromorphic computing for addressing AI perception issues in autonomous driving.

However, it still lacks research of a scalable and low-latency data location service in the environment.

Reliable and low-latency data transfer to the cell edge users (CEUs) of 5G edge-network is a challenging problem.

In 2016, IceCube established a pipeline that uses low-latency data to rapidly respond to astrophysical events that were of interest to the multi-messenger observational community.

An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions.

This poster explores the design of such an API built on top of State Vector Sync (SVS), one of the NDN Sync protocols, along with a low-latency data fetching option.

The caching feature of ICN can provide users with low-latency data services.

With the rapid development of 5th generation (5G) communications, 5G-enabled Internet of Things (IoT) will provide high-speed and low-latency data transmissions as well as better communication coverage.

The rapid growth of hyperscale data centers has led to an increased demand for high-speed and low-latency data connectivity solution upgrades, which are power-efficient and minimal cost.

We evaluate the performance of DeepBAN, and the results show that it can achieve energy-efficient, reliable, and low-latency data transmission in dynamic WBANs, which can improve the system energy efficiency by 15% compared with the stochastic scheduling scheme.

This approach has many technological appeals as it can enable ultra-low-latency data transfer and ultra-low power electronics.

Computer systems utilizing byte-addressable Non-Volatile Memory ( NVM ) as memory/storage can provide low-latency data persistence.

To achieve this, low-cost network deployment and low-latency data transfer are the key technologies.

Dramatic reductions in the minimum losses achieved in a HCF are driving forward their application in low-latency data transmission and ultra-high-power delivery, and maximizing their performance is of increasing interest.

In today's era of Internet of Things (IoT), where massive amounts of data are produced by IoT and other devices, edge computing has emerged as a prominent paradigm for low-latency data processing.

The Timely Dataflow distributed system supports expressive cyclic dataflows for which it offers low-latency dataand pipeline-parallel stream processing.