Introduction to Low Latency Data
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To demonstrate the performance, an innovative transceiver signal processing chain is proposed that allows a reliable and low-latency data transmission.
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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.
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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.
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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.
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However, it still lacks research of a scalable and low-latency data location service in the environment.
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Reliable and low-latency data transfer to the cell edge users (CEUs) of 5G edge-network is a challenging problem.
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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.
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An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions.
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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.
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The caching feature of ICN can provide users with low-latency data services.
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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.
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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.
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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.
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This approach has many technological appeals as it can enable ultra-low-latency data transfer and ultra-low power electronics.
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Computer systems utilizing byte-addressable
Non-Volatile Memory
(
NVM
) as memory/storage can provide low-latency data persistence.
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To achieve this, low-cost network deployment and low-latency data transfer are the key technologies.
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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.
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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.
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The Timely Dataflow distributed system supports expressive cyclic dataflows for which it offers low-latency dataand pipeline-parallel stream processing.
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Millimeter- wave, which is one of the key enablers of 5G, is promising to provide multi-gigabit ultra-high data rate and millisecond-level ultra-low latency data transmission.
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0 applications require low latency data processing and reliable communication models to enable efficient operation of production lines, fast response to failures and quickly adapt the manufacturing process to changing environmental conditions.
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Additionally, ultra low latency data analysis can be used to drive a fast feedback control system to adjust the experiment in real time, including decisions on data acquisition conditions, detector parameter adjustments and source operation modifications.
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Deduplication has been successfully used to help with the latter requirement but it is often at odds with low latency data access.
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Most of the OPSM discovery methods are batch mining techniques and not suitable for low latency data query.
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Poet uses modified Reservation-based Single Write Multiple Reader (R-SWMR) optical bus for long distance communication and low latency data communication.
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An imperative to the success of such situational awareness systems is the ability to reliably deliver high throughput low latency data from these airborne platforms.
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Therefore, low latency data transmission and processing requirement are presented.
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In this paper, we propose a user centric bandwidth allocation scheme for low latency data transmission in ultra dense vehicular networks.
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Future 5G mobile fronthaul (MFH) network will require high bandwidth and ultralow latency data transmission.
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