Enhancing QoS Facility for Low-Latency High-Throughput Performance in IEEE 802.11 Networks
This proposal addresses the shortcomings in traffic classification and handling of uplink/downlink traffic in current IEEE 802.11 specifications, particularly in relation to low-latency traffic. It also highlights issues with the current EDCA mode in managing congestion and proposes high-level solut
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Understanding Latency in Sentinel-1A Standard Products
The provided information delves into the latency definitions and averages related to ESA Sentinel-1A Standard Products. It covers the different product types, including Extra Wide (EW), Interferometric Wide (IW), and Wave (WV), detailing the average latencies at various stages in data processing. La
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Enhanced Scheduling Method for Low Latency Traffic in IEEE 802.11-24/0091r1
This document presents an enhanced scheduling method for handling low latency traffic in IEEE 802.11 networks. It focuses on supporting deterministic and event-based latency-sensitive traffic, addressing challenges in scheduling and resource allocation. The proposed method aims to improve the reliab
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Enhancing Low Latency Channel Access in Legacy IEEE 802.11 Networks
This document discusses the impact of introducing a Low Latency (LL) channel access mechanism in legacy IEEE 802.11 networks. It addresses the use of High Priority EDCA (HiP EDCA) mechanisms, proposing solutions for improving tail latency in both isolated BSS and multi-BSS scenarios. Additionally, i
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Two-Dimensional A-PPDU for Low Latency in UHR Networks
This document discusses the proposed two-dimensional (2D) A-PPDU as a solution for supporting low-latency applications in UHR networks. It delves into the details of 2D A-PPDU for downlink, focusing on the ability to insert PPDUs within a PPDU, aiming to reduce latency in UHR environments by enhanci
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Understanding Swarm Intelligence: Concepts and Applications
Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,
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DNN Inference Optimization Challenge Overview
The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc
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Improving Low-Latency Buffer Status Reporting in IEEE 802.11
Proposal for enhancing the Buffer Status Report (BSR) mechanism in IEEE 802.11 to include timing constraints for transmitting latency-sensitive traffic. Suggestions involve adding TSPEC-based signaling and efficient mechanisms for Enhanced Traffic APs to ascertain low-latency traffic status. The cur
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Understanding Discrete Optimization in Mathematical Modeling
Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and
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Generalization of Empirical Risk Minimization in Stochastic Convex Optimization by Vitaly Feldman
This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised
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Analyzing and Improving Latency in IEEE 802.11 Networks
The document discusses controlling latency in IEEE 802.11 networks to meet the demands of emerging applications that require not only high throughput but also low latency. It covers aspects such as latency analysis, potential improvements, latency vs. reliability trade-offs, and latency improvement
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Evaluation of Low-Latency Services in IEEE 802.11-23/1530r1
This document discusses the evaluation of supported low-latency services in the context of IEEE 802.11-23/1530r1, focusing on the reliability of WLAN, throughput, latency, and MPDU loss. It addresses the challenges in supporting new low-latency services such as AR/VR and industrial IoT, particularly
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Low Latency Requirements in Ultra-High Rate Communication
This document discusses the requirements and use cases of low latency in ultra-high rate communication scenarios, highlighting applications such as metaverse, cloud gaming, real-time video streaming, in-vehicle infotainment, and industrial PLC control. It also covers current methods to reduce latenc
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Enhancing Web Search Latency with DDS Prediction
This presentation delves into DDS Prediction, a technique designed to reduce extreme tail latency in web search engines by optimizing query execution times and parallelizing specific queries. It addresses the challenges of improving latency for all users and emphasizes the importance of achieving hi
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Understanding Sources of Tail Latency in Hardware, OS, and Applications
Delve into the impact of latency on revenue, with real-world examples from companies like Amazon and Google. Explore the complexities of achieving low tail latency in large-scale applications and the approach to analyzing and mitigating latency sources at hardware, OS, and application levels.
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Enhancing Channel Access for Latency-Sensitive Traffic in January 2022
In the documentation IEEE 802.11-21/0894r1, the focus is on improving channel access for latency-sensitive traffic through concepts like Restricted TWT (Target Wake Time). The proposal suggests methods to protect TWT Service Periods from non-TWT scheduled STAs, ensuring prioritized transmission of l
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Insights into Recent Progress on Sampling Problems in Convex Optimization
Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas
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Enhancing Efficiency and Latency Reduction in IEEE 802.11be Through Multi-Link Operation
Targeted at improving multi-link and low-latency capabilities in IEEE 802.11be, this document proposes a mode of operation utilizing multiple links to decrease latency effectively. By addressing channel access delay reduction and discussing the benefits of multi-link definitions, the document emphas
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Architecting DRAM Caches for Low Latency and High Bandwidth
Addressing fundamental latency trade-offs in designing DRAM caches involves considerations such as memory stacking for improved latency and bandwidth, organizing large caches at cache-line granularity to minimize wasted space, and optimizing cache designs to reduce access latency. Challenges include
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Managing DRAM Latency Divergence in Irregular GPGPU Applications
Addressing memory latency challenges in irregular GPGPU applications, this study explores techniques like warp-aware memory scheduling and GPU memory controller optimization to reduce DRAM latency divergence. The research delves into the impact of SIMD lanes, coalescers, and warp-aware scheduling on
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Impact of Latency on Player Performance in Cloud-based Games
Research conducted by Mark Claypool and David Finkel explores the effects of latency on player performance in cloud-based games. The study compares the impact of latency on both objective (performance) and subjective (quality) measures, highlighting how every 100ms increase in latency results in a 2
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Enhancing Low Latency in IEEE 802.11 Networks
Various mechanisms for low latency in IEEE 802.11 networks are discussed, including C-TDMA, C-RTWT, TXOP Preemption, and HiP-EDCA. This proposal aims to improve initial control frame exchanges to prioritize low latency traffic transmission. By modifying exchange rules and allowing STAs to signal the
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Approximation Algorithms for Stochastic Optimization: An Overview
This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta
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Low-Latency Inter-Datacenter State Machine Replication Using Clock-RSM
Clock-RSM introduces a low-latency approach to inter-datacenter state machine replication by utilizing loosely synchronized physical clocks. This method ensures strong consistency, fault tolerance, and fast failover in a geo-replication environment. By overlapping ordering and replication using phys
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Machine Learning Optimization for HTTP Latency Tuning on NGINX
Exploration of machine learning optimization algorithms for enhancing HTTP latency tuning on NGINX. The study investigates the use of ML tuning as a superior alternative to manual methods, focusing on operating system tuning, existing methods, and future autotuning work. Key areas covered include me
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Consideration on TSN Capabilities and XR Applications in Wi-Fi
This contribution evaluates XR applications in Wi-Fi, focusing on high throughput, low latency, and reliability. It discusses in-car XR entertainment/navigation as an entry-level TSN application and proposes integrating Wi-Fi technologies like 11be for improved performance. The document highlights t
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Achieving Bounded Latency in Data Centers: A Comprehensive Study
Data centers face challenges in providing consistent low latencies due to in-network interference and varying workloads. This study explores solutions to guarantee strong latency performance, mitigate latency variance, and minimize performance degradation for latency-sensitive applications. By analy
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Ultra-Reliable PHY Elements: Optimized Building Blocks for Low Latency and Efficiency
The document presents a deep dive into ultra-reliable PHY elements, focusing on achieving low latency, reduced collision, and energy efficiency. It proposes optimized universal building blocks to address these goals effectively, especially in scenarios where many devices may not receive transmission
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Stronger Semantics for Low-Latency Geo-Replicated Storage
Discusses the importance of strong consistency and low latency in geo-replicated storage systems for improving user experience and revenue. Various storage dimensions, sharding techniques, and consistency models like Causal+ are explored. The Eiger system is highlighted for ensuring low latency by k
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Understanding Latency Variation in Modern DRAM Chips
This research delves into the complexities of latency variation in modern DRAM chips, highlighting factors such as imperfect manufacturing processes and high standard latencies chosen to boost yield. The study aims to characterize latency variation, optimize DRAM performance, and develop mechanisms
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Latency Measurement in IEEE 802.11 for Low Latency Applications
IEEE 802.11-20/0484r0 discusses the importance of latency measurement for low latency applications in WLAN technologies. The document emphasizes the need for improved worst-case latency and jitter, addressing interference issues to ensure guaranteed latency for scheduled transmissions. Various contr
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Understanding Latency in JESD204B Links
Latency in a JESD204B link refers to the time it takes for a signal to travel from input to output, influenced by factors like system setup, device dependencies, clock propagation delays, and signal alignment. Definitions such as Sample-to-Serial Out (S2SO), Link Delay, and Link Latency are crucial
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Multi-AP Preemption for Low-Latency Traffic in IEEE 802.11 Networks
Discussion on the necessity of Multi-AP preemption for low-latency traffic in IEEE 802.11 networks. Addresses issues related to latency-sensitive traffic in overlapping basic service sets (OBSS). Proposes a general solution to enable OBSS APs to transmit urgent low-latency traffic without significan
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New Queue Mechanism for Real-Time Application Considerations in July 2019
In July 2019, considerations were made for a new queue mechanism for real-time applications. The focus was on improving worst-case latency and jitter for latency-critical traffic, such as in online mobile gaming and manufacturing control. The proposed design aims to link access delay directly to req
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Multi-AP Coordination for Low Latency Traffic Transmission
The document discusses the integration of multi-access point (AP) coordination to enhance the transmission of low-latency traffic in wireless networks. It addresses the challenges and introduces modes of operation capable of reducing latency and improving reliability for low-latency (LL) traffic tra
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Flower Pollination Algorithm: Nature-Inspired Optimization
Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o
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Coordinated Medium Access for Multi-AP Deployments in IEEE 802.11 Networks
The document discusses a solution to reduce latency, increase throughput, and improve reliability in networks with latency-sensitive traffic by introducing coordination between access points (APs). This involves leveraging mechanisms like Restricted TWT (rTWT) and Coordinated rTWT (C-rTWT) to facili
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PCIe Latency and Performance Test on LX2160A
This document discusses PCIe latency and performance testing using Lmbench and DPDK qdma_demo on LX2160A hardware. It covers test configurations, latency measurements, throughput analysis, and peer-to-peer communication details.
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Overlapped Indication for Event-Based Low Latency Traffic Support in IEEE 802.11
The document discusses the importance of reducing latency in Ultra High Rate (UHR) PAR and Event Based Low Latency (LL) traffic support in IEEE 802.11 networks. It introduces the concept of preemption to enhance LL traffic handling and proposes an overlapped LL indication frame to address challenges
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Machine Learning Applications for EBIS Beam Intensity and RHIC Luminosity Maximization
This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and
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