Explore Microsoft's innovative approach to query optimization in production environments, addressing challenges with general-purpose optimization and introducing specialized cloud-based optimizers. Learn about the implementation details, experiments conducted, and the solution proposed. Discover how

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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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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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This document discusses gain analysis results for coordinated AP transmissions in the IEEE Enterprise R3 network, focusing on tail latency gain for aperiodic traffic. Simulation setups, topology details, and results for different coordination schemes (C-TDMA, C-RTWT, and combined) are provided, show

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Optimization in process engineering involves obtaining the best possible solution for a given process by minimizing or maximizing a specific performance criterion while considering various constraints. This process is crucial for achieving improved yields, reducing pollutants, energy consumption, an

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This document explores the relationship between IEEE 802.11 and Time Sensitive Networking (TSN), defining TSN in the context of 802.11 and highlighting the importance of TSN for improving packet delivery, reducing latency, and enhancing network reliability. Various features like Multi-AP, preemption

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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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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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Delve into the world of IEEE 802.11 wireless networks as this document explores solutions for multi-AP coordination for R-TWT, focusing on improving tail latency, jitter, and medium protection. Enhancements in R-TWT operation, coordination scenarios, and solutions for multi-AP deployments are discus

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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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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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IEEE 802.11be introduces features to support Time-Sensitive Networking (TSN) capabilities by enhancing throughput, traffic delivery paths, scheduling flexibility, and latency reduction. The standard addresses the stringent latency requirements of real-time applications, medium access protection, mul

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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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The proposal discusses an enhanced mode of operation for single radio non-AP MLDs to enable multi-link operation, improving throughput and reducing latency. It addresses challenges in busy network environments, aiming to achieve low latency benefits similar to concurrent dual radio setups. The propo

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The document discusses strategies to minimize roaming handoff time in IEEE 802.11 networks, focusing on enhancing user experience for latency-sensitive applications like video conferencing and online meetings. Emphasizing the importance of low latency in areas such as AR/VR and voice-over-Wi-Fi appl

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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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This document presents a proposal for Spectrum Sensing Based Deferral (SSBD) to improve channel access in wireless networks. SSBD incorporates spectrum sensing with transmission deferral in a time-bound manner to enhance performance, reliability, and latency control. The proposed solution safeguards

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The UHR group aims to enhance latency performance for mobile clients by introducing a non-collocated AP MLD framework. This framework allows seamless transfer of client context between physical APs, improving roaming efficiency and supporting high numbers of links for non-AP MLDs. The proposed solut

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Delve into the world of time-sensitive networking (TSN) as it offers bounded low-latency solutions for various applications. Discover TSN components, tools, and protocols such as frame replication, path control, per-stream filtering, time synchronization, and more. Gain insights from Jnos Farkas's p

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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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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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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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Explore the world of optimization through convex and general problems, understanding the concepts, constraints, and the difference between convex and non-convex optimization. Discover the significance of local and global optima in solving complex optimization challenges.

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This presentation delves into the innovative reimagining of GPU memory hierarchy to accommodate multiple applications concurrently. It explores the challenges of GPU sharing with address translation, high-latency page walks, and inefficient caching, offering insights into a translation-aware memory

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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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A Latency Test measures the delay in data transmission between your device and a server, often referred to as the round-trip time (RTT). This test is crucial for understanding how quickly your network responds to requests, affecting activities such a

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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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This document discusses the implementation of multi-band discovery assistance for IEEE 802.11ay networks to improve robustness and reduce latency in consumer devices. It focuses on reducing overhead latency, enabling TDD channel access, and utilizing multi-band signaling for various network operatio

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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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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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This research addresses the vulnerabilities of onion routing to timing attacks and proposes solutions to prevent active timing attacks, focusing on low-latency anonymous communication systems. Various problems related to timing attacks in onion routing are analyzed, including the role of adversaries

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Achieving low latency communication is crucial when link quality deteriorates. This presentation by Qi Wang et al. from Apple Inc. introduces the concept of establishing a Backup Link to swiftly switch LL communication to a better link, enhancing data transmission efficiency in scenarios where the p

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Machine learning often requires real-time, accurate, and robust predictions under heavy query loads. However, many existing frameworks are more focused on model training than deployment. Clipper is an online prediction system with a modular architecture that addresses concerns such as latency, throu

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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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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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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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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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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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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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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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