Tabla de Contenidos: “…Delete Optimizations -- Summary -- Chapter 9: Transactions -- Transaction Theory -- MongoDB Transactions -- Transaction Limits -- TransientTransactionErrors -- Transactions in the MongoDB Drivers -- The Performance Implications of TransientTransactionErrors -- Transaction Optimization -- Avoiding Transactions -- Ordering of Operations -- Partitioning Hot Documents -- Conclusion -- Chapter 10: Server Monitoring -- Host-Level Monitoring -- Network -- CPU -- Memory -- Disk IO -- MongoDB Server Monitoring -- Compass -- Free Monitoring -- Ops Manager -- MongoDB Atlas -- Third-Party Monitoring Tools -- Summary -- Part IV: Server Tuning -- Chapter 11: Memory Tuning -- MongoDB Memory Architecture -- Host Memory -- Measuring Memory -- WiredTiger Memory -- Cache Size -- Determining the Optimum Cache Size -- The Database Cache "Hit" Ratio -- Evictions -- Blocking Evictions -- Checkpoints -- WiredTiger Concurrency -- Reducing Application Memory Demand -- Document Design -- Indexing -- Transactions -- Summary -- Chapter 12: Disk IO -- IO Fundamentals -- Latency and Throughput -- Queuing -- Sequential and Random IO -- Disk Hardware -- Magnetic Disks (HDD) -- Solid State Drives -- SSD Storage Hierarchy -- Write Performance -- Write Endurance -- Garbage Collection and Wear Levelling -- SATA vs. …”

Tabla de Contenidos: “…Software Tools -- WiFi Analyzer -- Protocol Analyzer/Packet Capture -- Bandwidth Speed Tester -- Port Scanner -- iperf -- NetFlow Analyzers -- Trivial File Transfer Protocol (TFTP) Server -- Terminal Emulator -- IP Scanner -- Command Line Tool -- ping -- ipconfig/ifconfig/ip -- 00-FMindd 25 22/04/22 11:12 AM -- xxvi Mike Meyers' CompTIA Network+ Certification Passport -- Passport_2019 / Mike Meyers' CompTIA Network+" Certification Passport / Weissman / 896-3 / FM -- nslookup/dig -- traceroute/tracert -- arp -- netstat -- hostname -- route -- telnet -- tcpdump -- nmap -- Basic Network Platform Commands -- show interface -- show config -- show route -- REVIEW -- 53 QUESTIONS -- 53 ANSWERS -- Objective 54 Given a scenario, troubleshoot common wireless -- connectivity issues -- Specifications and Limitations -- Throughput -- Speed -- Distance -- Received Signal Strength Indication (RSSI) Signal Strength -- Effective Isotropic Radiated Power (EIRP)/Power Settings -- Considerations -- Antennas -- Channel Utilization -- AP Association Time -- Site Survey -- Common Issues -- Interference -- Antenna Cable Attenuation/Signal Loss -- RF Attenuation/Signal Loss -- Wrong SSID -- Incorrect Passphrase -- Encryption Protocol Mismatch -- Insufficient Wireless Coverage -- Captive Portal Issues -- Client Disassociation Issues -- REVIEW -- 54 QUESTIONS -- 54 ANSWERS -- 00-FMindd 26 22/04/22 11:12 AM -- Contents -- Passport_2019 / Mike Meyers' CompTIA Network+" Certification Passport / Weissman / 896-3 / FM -- Objective 55 Given a scenario, troubleshoot general -- networking issues -- Considerations -- Device Configuration Review -- Routing Tables -- Interface Status -- VLAN Assignment -- Network Performance Baselines -- Common Issues -- Collisions -- Broadcast Storm -- Duplicate MAC Address -- Duplicate IP Address -- Multicast Flooding -- Asymmetrical Routing -- Switching Loops -- Routing Loops -- Rogue DHCP Server -- DHCP Scope Exhaustion -- IP Setting Issues -- Missing Route -- Low Optical Link Budget -- Certificate Issues -- Hardware Failure -- Host-Based/Network-Based Firewall Settings -- Blocked Services, Ports, or Addresses -- Incorrect VLAN -- DNS Issues -- NTP Issues -- BYOD Challenges -- Licensed Feature Issues -- Network Performance Issues -- REVIEW -- 55 QUESTIONS -- 55 ANSWERS -- A About the Online Content -- System Requirements -- Your Total Seminars Training Hub Account -- Privacy Notice -- Single User License Terms and Conditions -- 00-FMindd 27 22/04/22 11:12 AM -- xxviii Mike Meyers' CompTIA Network+ Certification Passport -- Passport_2019 / Mike Meyers' CompTIA Network+" Certification Passport / Weissman / 896-3 / FM -- TotalTester Online -- Pre-Assessment Test -- Other Book Resources -- TotalSims for Network+ -- Mike's Video Training -- Mike's Cool Tools -- Technical Support -- Index…”

Tabla de Contenidos:

Tabla de Contenidos: “…. -- Auto-scaling Cosmos DB throughput -- Getting ready -- How to do it... -- There's more... -- Bulk inserting data into Cosmos DB -- How to do it... -- There's more... -- Chapter 9: Implementing Best Practices for Azure Functions -- Adding multiple messages to a queue using the IAsyncCollector function -- Getting ready -- How to do it... -- How it works... -- There's more... -- Implementing defensive applications using Azure Functions and queue triggers -- Getting ready -- How to do it... -- CreateQueueMessage - C# console application -- Developing the Azure Function - queue trigger -- Running tests using the console application -- How it works... -- There's more... -- Handling massive ingress using Event Hubs for IoT and other similar scenarios -- Getting ready -- How to do it... -- Creating an Azure Function event hub trigger -- Developing a console application that simulates IoT data -- Avoiding cold starts by warming the app at regular intervals -- Getting ready -- How to do it... -- Creating an HTTP trigger -- Creating a timer trigger -- There's more... -- See also -- Enabling authorization for function apps -- Getting ready -- How to do it... -- How it works... -- There's more... -- Controlling access to Azure Functions using function keys -- How to do it... -- Configuring the function key for each application -- Configuring one host key for all the functions in a single function app -- There's more... -- Securing Azure Functions using Azure Active Directory -- Getting ready -- How to do it…”

Tabla de Contenidos: “…Quantization with GPTQ and EXL2 -- Other quantization techniques -- Summary -- References -- Chapter 9: RAG Inference Pipeline -- Understanding the LLM twin's RAG inference pipeline -- Exploring the LLM twin's advanced RAG techniques -- Advanced RAG pre-retrieval optimizations: query expansion and self-querying -- Query expansion -- Self-querying -- Advanced RAG retrieval optimization: filtered vector search -- Advanced RAG post-retrieval optimization: reranking -- Implementing the LLM twin's RAG inference pipeline -- Implementing the retrieval module -- Bringing everything together into the RAG inference pipeline -- Summary -- References -- Chapter 10: Inference Pipeline Deployment -- Criteria for choosing deployment types -- Throughput and latency -- Data -- Understanding inference deployment types -- Online real-time inference -- Asynchronous inference -- Offline batch transform -- Monolithic versus microservices architecture in model serving -- Monolithic architecture -- Microservices architecture -- Choosing between monolithic and microservices architectures -- Exploring the LLM Twin's inference pipeline deployment strategy -- The training versus the inference pipeline -- Deploying the LLM Twin service -- Implementing the LLM microservice using AWS SageMaker -- What are Hugging Face's DLCs? …”

Tabla de Contenidos: “…-- Exam FC0-U71 Exam Objectives -- FC0-U71 Certification Exam Objective Map -- How to Contact the Publisher -- Part I Domain 1.0: IT Concepts and Terminology -- Chapter 1 Computing Basics: Objective 1.1: Explain the basics of computing -- Computer Actions -- Input -- Processing -- Output -- Storage -- Tying It All Together -- Chapter 2 Notational Systems: Objective 1.2: Identify notational systems -- Storing Data -- Binary Data -- Decimal Data -- Hexadecimal Data -- Octal Data -- Character Encoding -- Chapter 3 Units of Measure: Objective 1.3: Compare and contrast common units of measure -- Measuring Data Storage -- Bits and Bytes -- Measuring Data Throughput -- Multiples of bps -- Measuring Processor Speed -- Chapter 4 Troubleshooting: Objective 1.4: Explain the troubleshooting methodology -- Troubleshooting Methodology -- Identify the Problem -- Establish a Theory of Probable Cause -- Test the Theory to Determine the Cause -- Establish a Plan of Action to Resolve the Problem and Implement the Solution -- Verify Functionality and, if Applicable, Implement Preventive Measures -- Document Findings/Lessons Learned, Actions, and Outcomes -- Part II Domain 2.0: Infrastructure -- Chapter 5 Computing Devices: Objective 2.1: Explain common computing devices and their purposes -- Computing Device Types -- Desktop Computers -- Workstations -- Servers -- Mobile Devices -- Gaming Consoles -- Virtual and Augmented Reality Systems -- Internet of Things -- Home IoT Devices -- Workplace IoT Devices -- Chapter 6 Internal Computing Components: Objective 2.2: Explain the purpose of common internal computing components -- CPU -- CPU Performance -- Motherboard…”

Tabla de Contenidos: “…-- Chapter 15 Ten Ways to Boost Your Return on Investment -- Doing Your Homework -- Timing Your Entry -- Playing the Markets -- Identifying Low Hash Rate Alternative Cryptocurrencies -- Mining the Start of a Chain -- Starting Small -- Scaling Choices -- Finding Cheap Electricity -- Cooling Efficiently -- Scoring Hardware Deals -- Chapter 16 Ten Types of Cryptocurrency Resources -- Cryptocurrency Market Trackers -- Mining Profitability Estimation Tools -- Cryptocurrency Reddit Pages -- Blockchain Explorers -- Data Visualizations -- Cryptocurrency Data and Statistics -- Cryptocurrency Wikis -- Cryptocurrency White Papers -- The Satoshi Nakamoto Institute -- A Cypherpunk's Manifesto -- Bitcoin Guides and Walkthroughs -- Chapter 17 Ten Criticisms of Cryptocurrencies and Mining -- Energy Consumption -- Wasted Processing -- Scalability, Transaction Speed, and Throughput -- Coin Distribution Fairness -- Market Bubbles and Volatility -- Centralization -- Scams and Rip-offs -- Hardware Price Inflation and Scarcity -- Fire Hazards -- Neighbor Complaints -- Index -- EULA…”

Tabla de Contenidos: “…Comparison Between DsRem and a State-of-the-Art Technique in Throughput Maximization -- 6.2.4. Comparison Between DsRem and the State-of-the-Art Boosting Technique -- 6.3. …”

“…"Container terminals are constantly being challenged to adjust their throughput capacity to match fluctuating demand. Examining the optimization problems encountered in today's container terminals, Port Automation and Vehicle Scheduling, Advanced Algorithms for Scheduling Problems of AGVs, Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports. …”

Tabla de Contenidos: “…Scalability of DApps: Driving throughput of transactions per second -- 3.4. DApps: Development frameworks -- Truffle: Beginners DApp framework -- Hardhat DApp framework: An overview -- 4. …”

Tabla de Contenidos: “…Saga choreography pattern -- Saga orchestration pattern -- The Competing Consumers pattern -- Benefits of implementing the Competing Consumers pattern -- Circuit Breaker pattern -- Circuit Breaker states -- Anypoint MQ -- Message exchanges and queues -- Cross-region failover for Anypoint MQ standard queues -- Dead-letter queues -- The Circuit Breaker pattern with Anypoint MQ -- Event-driven architecture (EDA) -- Benefits of EDA -- Limitations of EDA -- API-led connectivity and EDA together -- Experience API -- Process API -- System API -- Application networks and composability -- Summary -- Chapter 8: Non-Functional Requirements Influence in Shaping the API Architecture -- Common non-functional requirements -- Meeting performance requirements in the platform -- Response time -- Throughput -- Error rates -- Availability -- Latency -- Scalability -- Resource allocation -- Performance testing -- Performance monitoring -- Load balancing -- Application caching -- API security -- Data security in motion or in transit -- Data security at rest -- Deployment strategies -- Rolling update deployment -- Blue-green deployment -- Canary deployment -- Summary -- Further reading -- Chapter 9: Hassle-free Deployment with Anypoint iPaaS (CloudHub 1.0) -- Technical requirements -- What is CloudHub 1.0? …”

Tabla de Contenidos: “…3.4.4 Example: Network Search -- 3.4.5 Example: Initial Network Access Procedure -- 3.4.6 The Uu Protocol Stack -- 3.5 The UMTS Terrestrial Radio Access Network (UTRAN) -- 3.5.1 Node-B, Iub Interface, NBAP and FP -- 3.5.2 The RNC, Iu, Iub and Iur Interfaces, RANAP and RNSAP -- 3.5.3 Adaptive Multirate (AMR) NB and WB Codecs for Voice Calls -- 3.5.4 Radio Resource Control (RRC) States -- 3.6 Core Network Mobility Management -- 3.7 Radio Network Mobility Management -- 3.7.1 Mobility Management in the Cell-DCH State -- 3.7.2 Mobility Management in Idle State -- 3.7.3 Mobility Management in Other States -- 3.8 UMTS CS and PS Call Establishment -- 3.9 UMTS Security -- 3.10 High-Speed Downlink Packet Access (HSDPA) and HSPA+ -- 3.10.1 HSDPA Channels -- 3.10.2 Shorter Delay Times and Hybrid ARQ (HARQ) -- 3.10.3 Node-B Scheduling -- 3.10.4 Adaptive Modulation and Coding, Transmission Rates and Multicarrier Operation -- 3.10.5 Establishment and Release of an HSDPA Connection -- 3.10.6 HSDPA Mobility Management -- 3.11 High-Speed Uplink Packet Access (HSUPA) -- 3.11.1 E-DCH Channel Structure -- 3.11.2 The E-DCH Protocol Stack and Functionality -- 3.11.3 E-DCH Scheduling -- 3.11.4 E-DCH Mobility -- 3.11.5 E-DCH-Capable Devices -- 3.12 Radio and Core Network Enhancements: CPC and One Tunnel -- 3.12.1 A New Uplink Control Channel Slot Format -- 3.12.2 CQI Reporting Reduction and DTX and DRX -- 3.12.3 HS-SCCH Discontinuous Reception -- 3.12.4 HS-SCCH-less Operation -- 3.12.5 Enhanced Cell-FACH and Cell/URA-PCH States -- 3.12.6 Radio Network Enhancement: One Tunnel -- 3.13 HSPA Performance in Practice -- 3.13.1 Throughput in Practice -- 3.13.2 Radio Resource State Management -- 3.13.3 Power Consumption -- 3.14 Automated Emergency Calls (eCall) from Vehicles -- 3.15 UMTS and CDMA2000 -- Questions -- References…”

Tabla de Contenidos: “…Maheswari, Mohankumar, and Banuroopa -- 2.1 5G - An Introduction -- 2.1.1 Industry Applications -- 2.1.2 Healthcare -- 2.1.3 Retail -- 2.1.4 Agriculture -- 2.1.5 Manufacturing -- 2.1.6 Logistics -- 2.1.7 Sustainability of 5G Networks -- 2.1.8 Implementation of 5G -- 2.1.9 Architecture of 5G Technology -- 2.2 5G and AI -- 2.2.1 Gaming and Virtual Reality -- 2.3 AI and 5G -- 2.3.1 Continuous Learning AI Model -- 2.4 Challenges and Roadmap -- 2.4.1 Technical Issues -- 2.4.2 Technology Roadmap -- 2.4.3 Deployment Roadmap -- 2.5 Mathematical Models -- 2.5.1 The Insights of Mathematical Modeling in 5G Networks -- 2.6 Conclusion -- References -- 3 Sustainable Paradigm for Computing the Security of Wireless Internet of Things: Blockchain Technology Sana Zeba, Mohammed Amjad, and Danish Raza Rizvi -- 3.1 Introduction -- 3.2 Research Background -- 3.2.1 The Internet of Things -- 3.2.1.1 Security Requirements in Wireless IoT -- 3.2.1.2 Layered Architecture of Wireless IoT -- 3.2.2 Blockchain Technology -- 3.2.2.1 Types of Blockchain -- 3.2.2.2 Integration of Blockchain with Wireless Internet of Things -- 3.3 Related Work -- 3.3.1 Security Issues in Wireless IoT System -- 3.3.2 Solutions of Wireless IoT Security Problem -- 3.4 Research Methodology -- 3.5 Comparison of Various Existing Solutions -- 3.6 Discussion of Research Questions -- 3.7 Future Scope of Blockchain in IoT -- 3.8 Conclusion -- References -- 4 Cognitive IoT Based Health Monitoring Scheme Using Non-Orthogonal MultipleAccess Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider, andShakil Ahmed -- 4.1 Introduction -- 4.2 Related Work -- 4.3 System Model and Implementation -- 4.3.1 Network Description -- 4.3.2 Sensing and Transmission Analysis -- 4.3.3 Pathloss Model -- 4.3.4 Mathematical Model Evaluation -- 4.3.4.1 Effectual Throughput -- 4.3.4.2 Interference Throughput -- 4.3.4.3 Energy Efficiency -- 4.3.4.4 Optimum Power -- 4.3.4.4.1 Optimum Power Derivation for HRC -- 4.2.3.4.2 Optimum Power Derivation for MRC -- 4.4 Simulation Results -- 4.5 Conclusion -- 4.A Appendices -- 4.A.1 Proof of Optimum Power Transmission for HRC Device at EffectualState (z = 0) -- 4.A.2 Proof of Optimum Power Transmission for HRC Device inInterference State (z = 1) -- 4.A.3 Proof of Optimum Power Transmission for MRC Device at EffectualState (z = 0) -- 4.A.4 Proof of Optimum Power Transmission for MRC Device inInterference State (z = 1) -- References -- 5 Overview of Resource Management for Wireless Adhoc Network Mehajabeen Fatima and Afreen Khueaheed -- 5.1 Introduction -- 5.1.1 Wired and Wireless Network Design Approach -- 5.1.2 History -- 5.1.3 Spectrum of Wireless Adhoc Network -- 5.1.4 Enabling and Networking Technologies -- 5.1.5 Taxonomy of Wireless Adhoc Network (WANET) -- 5.2 Mobile Adhoc Network (MANET) -- 5.2.1 Introduction to MANET -- 5.2.2 Common Characteristics of MANET -- 5.2.3 Advantages and Disadvantages -- 5.2.4 Applications of MANET -- 5.2.5 Major Issues of MANET -- 5.3 Vehicular Adhoc Network (VANET) -- 5.3.1 Introduction of VANET -- 5.3.2 Common Features of VANET -- 5.3.3 Pros, Cons, Applications -- 5.4 Wireless Mesh Network (WMN) -- 5.4.1 Preface of WMN -- 5.4.2 Common Traits of WMN -- 5.4.3 WMN Has Many Open Issues and Research Challenges -- 5.4.4 Performance Metrics -- 5.4.5 Advantages and Disadvantages -- 5.4.6 Prominent Areas and Challenges of WMN -- 5.5 Wireless Sensor Network (WSN) -- 5.5.1 Overview of WSN -- 5.5.2 Common Properties of WSN -- 5.5.3 Benefits, Harms, and Usage of WSN -- 5.6 Intelligent Management in WANET -- 5.6.1 Major Issues of WANET -- 5.6.2 Challenges of MAC Protocols -- 5.6.3 Routing Protocols -- 5.6.3.1 Challenges of Routing Protocols -- 5.6.3.1.1 Scalability -- 5.6.3.1.2 Quality of Service -- 5.6.3.1.3 Security -- 5.6.4 Energy and Battery Management -- 5.7 Future Research Directions -- 5.8 Conclusion -- References -- 6 Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques Chalapathiraju Kanumuri and C.H. …”

Tabla de Contenidos: “…Dynamic -- 3.2.8 Open Research Issues and Future Challenges -- 3.2.8.1 Architecture and Protocols -- 3.2.8.2 Reliability -- 3.2.8.3 Throughput -- 3.2.8.4 Lifetime -- 3.2.8.5 Data Collection and Routing Technology -- 3.2.8.6 Security and Privacy -- 3.2.8.7 Service Discovery -- 3.2.8.8 Context Awareness -- 3.3 Conclusion -- References -- Chapter 4: Emerging World of the Metaverse: An Indian Perspective -- 4.1 Introduction -- 4.2 Internet of Things and Virtual Reality -- 4.3 Emergence of the Metaverse -- 4.4 Network and Communication in the Metaverse -- 4.4.1 Building Smart Cities with the Metaverse -- 4.4.2 Industry 4.0 and Digital Twin -- 4.5 Socialization in the Metaverse -- 4.6 The Metaverse in India -- 4.7 Technological Limitations -- 4.8 Data Safety and Security -- 4.9 Dilemmas and Conundrum of the Metaverse -- 4.10 Future of the Metaverse -- 4.10.1 Metaverse for Business Ideas -- 4.10.2 Customer User Engagement -- 4.10.3 Legal Framework in the Metaverse -- 4.11 Conclusion -- References -- Chapter 5: Intelligent Optical Networks: Challenges, Opportunities, and Applications -- 5.1 Introduction…”

Tabla de Contenidos: “…3.2 Instruction, bandwidth, and latency bound kernels -- 3.3 Memory bandwidth -- 3.3.1 Theoretical peak bandwidth -- 3.3.2 Effective bandwidth -- 3.3.3 Actual data throughput vs. effective bandwidth -- 4 Synchronization -- 4.1 Synchronization of kernel execution and data transfers -- 4.1.1 Pageable versus pinned host memory -- 4.1.2 Streams -- 4.1.2.1 Creating streams -- 4.1.3 Asynchronous transfers via cudaMemcpyAsync() -- 4.1.4 Synchronization barriers -- 4.1.4.1 cudaDeviceSynchronize() -- 4.1.4.2 cudaStreamSynchronize() -- 4.1.4.3 cudaEventSynchronize() -- 4.1.4.4 Querying streams and events -- 4.1.5 Advanced stream topics -- 4.1.5.1 The default stream -- 4.1.5.2 Non-blocking streams -- 4.1.5.3 Stream priorities -- 4.2 Synchronization of kernel threads on the device -- 4.2.1 Shared memory -- 4.2.2 Synchronizing threads within a block -- 4.2.3 Warps, warp synchronization, and warp-level primitives -- 4.2.3.1 SHFL functions -- 4.2.4 Atomics -- 4.2.5 Memory fences -- 4.2.6 Cooperative groups -- 4.2.6.1 Grid synchronization -- 4.2.6.2 Thread block clusters -- 5 Optimization -- 5.1 Transfers between host and device -- 5.1.1 Pinned memory -- 5.2 Device memory -- 5.2.1 ECC (Error Correcting Code) -- 5.2.2 Global memory -- 5.2.2.1 Declaring global array arguments in kernels -- 5.2.2.2 Coalesced global memory access -- 5.2.3 Local memory -- 5.2.4 Constant memory -- 5.2.5 L1 and L2 caches -- 5.2.6 Shared memory -- 5.2.6.1 Configuring shared memory -- 5.2.6.2 Global memory coalescing through shared memory -- 5.2.6.3 Shared memory bank conflicts -- 5.2.7 Registers -- 5.2.7.1 Exchanging register data between threads in a warp -- 5.3 Execution configuration -- 5.3.1 Thread-level parallelism -- 5.3.2 Instruction-level parallelism -- 5.3.2.1 Asynchronous data transfers between global and shared memory -- 5.3.2.2 Instruction-level parallelism in CUF kernels…”

Tabla de Contenidos: “…-- Complex Systems are Nonlinear -- The Move beyond Complexity Theory-Complex Adaptive Systems (CASs) -- Boundaries -- Coherence -- The Edge of Chaos -- Self-Organization and Emergence -- Emergence and Innovation -- Self-Balancing Feedback Loops Maintain Stability -- Resilience and Rigidity -- A Complex Adaptive System Example-Company Normal -- Reference Examples for Complex Adaptive Systems -- Connections and Interactions in Nonlinear Systems -- CAS and the Demand Driven Operating Model -- Data Collection and Feedback Loops -- Demand Driven and Resiliency versus Rigidity -- Summary -- Conclusion -- Chapter 11: Smart Metrics -- Managing in a Pareto World Calls for New Thinking -- The Power of Pareto and Strategic Buffers -- Stock Buffers, Pareto Analysis, and Smart Metric Objectives -- The Purpose and Size of Each Strategic Stock Buffer Zone -- Strategic Stock Focused Improvements -- Flow Indexes -- Capacity Buffers, Pareto Analysis, and Smart Metric Objectives -- Our Reference Environment -- The System and Paretian View of Resource Capacity -- The Implications of the Sales and Operating Plan for Strategic Capacity Investment -- Cost, Volume, Profit Relevant Range Is Defined by the Scarce Capacity Resource -- Allocating Scarce Capacity to the Market Based on Strategic Contribution -- Prioritizing the Product Mix by Throughput Dollar Rate Changes the CVP Graph -- Calculating the Value of Finding More Lathe Capacity -- Relevant Information for Strategic Outsourcing -- The Case for Acquiring Internal Lathe Capacity -- A Summary of the Financial and Nonfinancial Factors of Outsourcing or Capital Investment -- The Third Alternative-Using Smart Metrics to Find Capacity -- Summary on Strategic Investments in Capacity and Stock -- The Scheduling Implications of Stock Buffers -- Stock Buffers' Role in Execution…”

Tabla de Contenidos: “…8.5 LTE Applications 149 -- References 155 -- 9 Voice Over LTE 157 -- 9.1 Introduction 157 -- 9.2 CS Fallback for Evolved Packet System 158 -- 9.3 SMS Over SGs 159 -- 9.4 Voice and Other CS Services than SMS 164 -- 9.5 Voice and SMS Over IP 169 -- 9.6 Summary 186 -- References 187 -- 10 Functionality of LTE/SAE 189 -- 10.1 Introduction 189 -- 10.2 States 189 -- 10.3 End-to-End Functionality 199 -- 10.4 LTE/SAE Roaming 200 -- 10.5 Charging 216 -- References 219 -- 11 LTE/SAE Security 221 -- 11.1 Introduction 221 -- 11.2 LTE Security Risk Identification 222 -- 11.3 LTE/SAE Service Security -- Case Example 234 -- 11.4 Authentication and Authorization 238 -- 11.5 Customer Data Safety 239 -- 11.6 Lawful Interception 239 -- References 242 -- 12 Planning and Deployment of SAE 243 -- 12.1 Introduction 243 -- 12.2 Network Evolution from 2G/3G PS Core to EPC 243 -- 12.3 Entering Commercial Phase: Support for Multi-Mode LTE/3G/2G Terminals with Pre-Release 8 SGSN 245 -- 12.4 SGSN/MME Evolution 248 -- 12.5 Case Example: Commercial SGSN/MME Offering 249 -- 12.6 Mobile Gateway Evolution 250 -- 12.7 Case Example: Commercial GGSN/S-GW/P-GW Offering 251 -- 12.8 EPC Network Deployment and Topology Considerations 252 -- 12.9 LTE Access Dimensioning 254 -- 13 Radio Network Planning 257 -- 13.1 Introduction 257 -- 13.2 Radio Network Planning Process 257 -- 13.3 Nominal Network Planning 260 -- 13.4 Capacity Planning 263 -- 13.5 Coverage Planning 264 -- 13.6 Self-Optimizing Network 271 -- Reference 272 -- 14 LTE/SAE Measurements 273 -- 14.1 Introduction 273 -- 14.2 General 273 -- 14.3 Principles of Radio Interface Measurements 273 -- 14.4 LTE Field Measurements 282 -- 14.5 Evolution Changes the Rules of Testing 289 -- 14.6 General Test Requirements and Methods for the LTE Air Interface 292 -- 14.7 Test Requirements in SAE 298 -- 14.8 Throughput Testing 300 -- 14.9 Self-Organizing Network Techniques for Test and Measurement 306 -- 14.10 Field Testing 309 -- References 323 -- 15 Recommendations 325.…”

Tabla de Contenidos: “…Preface xiii List of Abbreviations xvii 1 Introduction 1 1.1 Quick Overview of Wireless Standards 1 1.2 Historical Profile of Data Rates 4 1.3 IMT-Advanced Requirements 4 1.4 3GPP and LTE Standardization 5 1.5 LTE Requirements 5 1.6 Theoretical Strategies 6 1.7 LTE-Enabling Technologies 7 1.8 LTE Physical Layer (PHY) Modeling 9 1.9 LTE (Releases 8 and 9) 11 1.10 LTE-Advanced (Release 10) 11 1.11 MATLAB(R) and Wireless System Design 11 1.12 Organization of This Book 11 References 12 2 Overview of the LTE Physical Layer 13 2.1 Air Interface 13 2.2 Frequency Bands 14 2.3 Unicast and Multicast Services 14 2.4 Allocation of Bandwidth 16 2.5 Time Framing 17 2.6 Time Frequency Representation 17 2.7 OFDM Multicarrier Transmission 20 2.8 Single-Carrier Frequency Division Multiplexing 23 2.9 Resource Grid Content 24 2.10 Physical Channels 25 2.11 Physical Signals 31 2.12 Downlink Frame Structures 34 2.13 Uplink Frame Structures 35 2.14 MIMO 35 2.15 MIMO Modes 40 2.16 PHY Processing 41 2.17 Downlink Processing 41 2.18 Uplink Processing 43 2.19 Chapter Summary 45 References 46 3 MATLAB(R) for Communications System Design 47 3.1 System Development Workflow 47 3.2 Challenges and Capabilities 48 3.3 Focus 49 3.4 Approach 49 3.5 PHY Models in MATLAB 49 3.6 MATLAB 49 3.7 MATLAB Toolboxes 50 3.8 Simulink 51 3.9 Modeling and Simulation 52 3.10 Prototyping and Implementation 53 3.11 Introduction to System Objects 54 3.12 MATLAB Channel Coding Examples 60 3.13 Chapter Summary 68 References 69 4 Modulation and Coding 71 4.1 Modulation Schemes of LTE 72 4.2 Bit-Level Scrambling 79 4.3 Channel Coding 85 4.4 Turbo Coding 85 4.5 Early-Termination Mechanism 93 4.6 Rate Matching 99 4.7 Codeblock Segmentation 105 4.8 LTE Transport-Channel Processing 107 4.9 Chapter Summary 112 References 113 5 OFDM 115 5.1 Channel Modeling 115 Examples 117 5.2 Scope 121 5.3 Workflow 121 5.4 OFDM and Multipath Fading 122 5.5 OFDM and Channel-Response Estimation 123 5.6 Frequency-Domain Equalization 124 5.7 LTE Resource Grid 124 5.8 Configuring the Resource Grid 125 5.9 Generating Reference Signals 130 5.10 Resource Element Mapping 132 5.11 OFDM Signal Generation 136 5.12 Channel Modeling 137 5.13 OFDM Receiver 140 5.14 Resource Element Demapping 141 5.15 Channel Estimation 143 5.16 Equalizer Gain Computation 145 5.17 Visualizing the Channel 146 5.18 Downlink Transmission Mode 1 147 5.19 Chapter Summary 164 References 165 6 MIMO 167 6.1 Definition of MIMO 167 6.2 Motivation for MIMO 168 6.3 Types of MIMO 168 6.4 Scope of MIMO Coverage 170 6.5 MIMO Channels 170 Implementation 171 6.6 Common MIMO Features 178 6.7 Specific MIMO Features 197 6.8 Chapter Summary 260 References 262 7 Link Adaptation 263 7.1 System Model 264 7.2 Link Adaptation in LTE 265 7.3 MATLAB(R) Examples 266 7.4 Link Adaptations between Subframes 275 7.5 Adaptive Modulation 277 7.6 Adaptive Modulation and Coding Rate 283 7.7 Adaptive Precoding 287 7.8 Adaptive MIMO 291 7.9 Downlink Control Information 294 7.10 Chapter Summary 302 References 303 8 System-Level Specification 305 8.1 System Model 306 8.2 System Model in MATLAB 315 8.3 Quantitative Assessments 316 8.4 Throughput Analysis 325 8.5 System Model in Simulink 326 8.6 Qualitative Assessment 349 8.7 Chapter Summary 351 References 352 9 Simulation 353 9.1 Speeding Up Simulations in MATLAB 353 9.2 Workflow 354 9.3 Case Study: LTE PDCCH Processing 355 9.4 Baseline Algorithm 356 9.5 MATLAB Code Profiling 358 9.6 MATLAB Code Optimizations 360 9.7 Using Acceleration Features 383 9.8 Using a Simulink Model 387 9.9 GPU Processing 399 9.10 Case Study: Turbo Coders on GPU 406 9.11 Chapter Summary 419 10 Prototyping as C/C++ Code 421 10.1 Use Cases 422 10.2 Motivations 422 10.3 Requirements 422 10.4 MATLAB Code Considerations 423 10.5 How to Generate Code 423 10.6 Structure of the Generated C Code 429 10.7 Supported MATLAB Subset 432 10.8 Complex Numbers and Native C Types 436 10.9 Support for System Toolboxes 438 10.10 Support for Fixed-Point Data 444 10.11 Support for Variable-Sized Data 447 10.12 Integration with Existing C/C++ Code 458 10.13 Chapter Summary 471 References 471 11 Summary 473 11.1 Modeling 473 11.2 Simulation 476 11.3 Directions for Future Work 477 11.4 Concluding Remarks 480 Index 483.…”

Tabla de Contenidos: “…-- 5.2 Collecting data in Azure -- 5.3 Create an Event Hubs namespace -- 5.3.1 Using Azure PowerShell -- 5.3.2 Throughput units -- 5.3.3 Event Hub geo-disaster recovery -- 5.3.4 Failover with geo-disaster recovery -- 5.4 Creating an Event Hub -- 5.4.1 Using Azure portal -- 5.4.2 Using Azure PowerShell -- 5.4.3 Shared access policy -- 5.5 Event Hub partitions -- 5.5.1 Multiple consumers -- 5.5.2 Why specify a partition? …”

Tabla de Contenidos: “…Response Times and Throughput -- 5.4.2. Degree of Success in Question Generation -- 5.4.3. …”