In today's highly competitive business landscape, testing and optimization are crucial for companies that want to maximize growth and profitability. Here's an in-depth look at why testing and optimization should be core parts of your business strategy.

2 views • 3 slides

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

2 views • 27 slides

The AnglE model introduces angle optimization to address common challenges like vanishing gradients and underutilization of supervised negatives in Large Language Models (LLMs). By enhancing the gradient and optimization processes, this novel approach improves text embedding learning effectiveness.

9 views • 33 slides

Explore the optimization of online game traffic for enhanced user experience by addressing current issues like lags and disconnections in Speed Dreams 2. Learn about modifying the network architecture, implementing interest management, data compression, and evaluation metrics for a stable gaming env

8 views • 7 slides

5G NR technology emphasizes enhanced QoS for XR traffic, including AR, VR, and Cloud Gaming. This research delves into handling QoS for XR/CG traffic at various layers, proposing QoS control mechanisms at the application and MAC layers, along with an evaluation of these approaches using a simulator.

6 views • 14 slides

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

5 views • 18 slides

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

10 views • 52 slides

Explore the utilization of an open-source Dispatch Optimization Tool (DOT) for sustainable, flexible, and cost-effective last-mile distribution in Zambia. The tool aims to reduce costs, optimize delivery routes dynamically, and enhance efficiency in supply chain management. Learn about the benefits,

1 views • 18 slides

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,

1 views • 88 slides

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

0 views • 13 slides

The document discusses technical issues related to the SCS (Spatial Channel Sharing) operation in the IEEE 802.11be standard. It highlights inconsistencies in the standard regarding parameterized QoS requirements, mixing of traffic streams with different QoS needs, and challenges in prioritizing SCS

0 views • 15 slides

Cloud gaming services like AIS, TSCAI, and TSC Assistance Container play a crucial role in providing quality of service (QoS) to millions of users globally. The need for time synchronization in 5G networks, especially for industrial applications like AR/VR, is highlighted. Trusted AF entities can di

0 views • 4 slides

Remote Direct Memory Access (RDMA) benefits, RoCEv2 packet format, resilient RoCE feature progression, optimizing network performance with QoS, and RoCE congestion control convergence analysis are discussed in this proposal. RoCE technology offers low latency, high throughput, and efficient CPU usag

0 views • 19 slides

Explore the complexities of multiple objective linear programming, decision-making with multiple objectives, goal programming, and evolutionary multi-objective optimization. Discover the trade-offs and conflicts between various objectives in optimization problems.

5 views • 84 slides

The construction industry operates in a dynamic environment with time, money, and resource constraints. This chapter focuses on resource management, optimization methods, and applications in construction. It covers the definition of resources, types of resources, and the importance of optimization i

2 views • 15 slides

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

0 views • 12 slides

The National Communications Authority in Ghana conducted a QoS trial testing exercise on mobile financial services to assess compliance with QoS targets and consumer protection readiness. The test methodology involved using the SIGOS Integrated Test Environment system for billing verification on mob

5 views • 12 slides

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

0 views • 11 slides

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.

0 views • 24 slides

This document explores the potential improvements in Quality of Service (QoS) for Ultra High Rate (UHR) Wi-Fi networks, focusing on the benefits of timing information sharing for traffic urgency assessment. It discusses areas such as increased reliability, lower latencies, improved manageability, an

0 views • 11 slides

Explore the basic components of optimization problems, such as objective functions, constraints, and global vs. local optima. Learn about single vs. multiple objective functions and constrained vs. unconstrained optimization problems. Dive into the statement of optimization problems and the concept

0 views • 96 slides

The document discusses the importance of layered Quality of Service (QoS) and multi-layer transmission in meeting the high throughput and real-time requirements of metaverse applications over WLAN. It emphasizes the need for enhanced throughput, reliability, reduced latency, and improved power effic

0 views • 11 slides

This presentation by Dorothy Stanley from HP Enterprise delves into the utilization of IEEE Std. 802.11-2020 standards focusing on the IEEE Std. 802 overview and architecture. It covers topics such as the use of LLC, MAC address formats, QoS mechanisms, MSDU formats, and various MAC services and pro

0 views • 10 slides

Workshop in Ouagadougou focused on benchmarking QoS evaluation of multimedia networks, highlighting the importance of QoS, priority of contractual matters, inadequacy of E-803 for African region, and the role of regulators in customer rights. Suggestions included additional contractual parameters to

1 views • 18 slides

Explore the significance of Quality of Service (QoS) and Quality of Experience (QoE) monitoring in broadband internet networks, as discussed at a workshop in Maputo, Mozambique. Learn about Omnitele's approach to measuring end-user QoS and QoE, aiming to maximize customer experience and minimize net

0 views • 38 slides

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

1 views • 47 slides

This study delves into the challenge of predicting Quality of Service (QoS) for runtime service adaptation in service-based applications. It explores collaborative filtering and adaptive matrix factorization techniques for accurate QoS prediction, aiming towards enhancing service resilience and redu

0 views • 29 slides

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

0 views • 33 slides

This paper presents the WSP framework, a network coordinate-based approach for predicting response times in web services. It explores the motivation behind web service composition, quality-of-service evaluation, and the challenges of QoS prediction. The WSP framework enables the selection of web ser

0 views • 30 slides

This overview covers the journey and development of ITU-T G.1028, focusing on end-to-end quality of service (QoS) for Voice over LTE (VoLTE) on 4G networks. It details the background, key milestones, essential elements of VoLTE services, optional mechanisms considered, QoS classifications, and call

0 views • 14 slides

Consumers and regulators are driving the need for established Quality of Service (QoS) and Quality of Experience (QoE) standards in broadcasting services. Stakeholders in Nairobi discussed the importance of ensuring signal quality, video/audio performance, and transmission metrics to meet subscriber

0 views • 12 slides

Explore the concepts of QoE and QoS for IPTV services, including user requirements, important definitions, QoE dimensions, compression artifacts, and components affecting channel zapping time. Learn about clean audio, VoD trick modes, triple play services, and more in this informative collection.

0 views • 13 slides

Network Fundamentals Lecture 21 delves into Quality of Service (QoS) in networking, addressing the importance of prioritizing certain types of traffic based on factors like application performance, traffic importance, and service levels. The lecture explores the challenges of sharing resources among

0 views • 29 slides

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

0 views • 15 slides

This research presents a hybrid optimization heuristic approach for efficient instruction scheduling in programmable accelerator codesign. It discusses Google's TPU architecture, problem-solving strategies, and computation graph mapping, routing, and timing optimizations. The technique overview high

0 views • 33 slides

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

0 views • 23 slides

Bayesian optimization is being used at LCLS to tune the Free Electron Laser (FEL) pulse energy efficiently. The current approach involves a tradeoff between human optimization and numerical optimization methods, with Gaussian processes providing a probabilistic model for tuning strategies. Prior mea

0 views • 16 slides

The evolution of metalearning in the machine learning community is traced from the initial workshop in 1998 to recent developments in hyper-parameter optimization. Challenges in classifier selection and the validity of hyper-parameter optimization claims are discussed, urging the exploration of spec

0 views • 32 slides

Presentation focusing on quality of service monitoring and enforcement in mobile networks from a regulatory viewpoint. Covers purposes of QoS regulations, requirements for regulators, auditing methods, and QoS parameters for mobile services.

0 views • 14 slides

Discussing the connection between Artificial Intelligence (AI)/Machine Learning (ML) and Wireless LAN networks, this document explores how AI/ML can improve IEEE 802.11 features, enhance Wi-Fi performance through optimized data sharing, and enable network slicing for diverse application requirements

0 views • 11 slides