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Combined Report of Mobile Edge and Network Slicing Optimizes Networks, Apps, and Services, 2018-2023



NEWLINE, The November 12, 2018 / PRNewswire / –

The "5G Optimization: Mobile Edge Computing and Network Slicing 2018 – 2023" report has added to ResearchAndMarkets.com & s offer.

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This research evaluates the telecommunications and IT ecosystem to support MEC including communication and computer infrastructure providers, managed service dealers, carriers and OTT providers. Our MEC analysis includes a focus on strategies and offers a company that is related to current and expected market needs in the future.

The report also provides a quantitative analysis of the Computers Edge Mobile market, including segmentation by industry, the world's region, the application and services. It also provides forecasts for MEC based streaming data and real-time data analyzes.

One of the most important aspects of 5G is the ability to make the best use of the network as well as applications and services. The use cases for apps and services that are enabled in the future 5G are diverse and diverse in terms of focus, the vertical focus of the industry, and requirements. Equally, each scenario will have its own requirements and associated network configuration needs.

5G network slicing provides a way in which each of these different uses cases can have its own part of the QoS configuration often and associated assignable.

An essential element of 5G networks, Mobile Edge Computers (MEC) facilitates the optimization of fifth generation network resources, including communications concentration and computer capability where it needs most. Without MEC, 5G would continue to rely on sunlight into a central cloud storage and computing facility, reducing significantly the positive effect of reducing the 5G enabled moisture.

In other words, MEC enables users and devices to store / access much more data by direct access to the Internet rather than relying on transport through the core of cell networks.

This research also evaluates enabling technologies and market prospects for 5G Network slicing. The report provides a breakdown of market opportunities including Configuring Management, Performance Management, Service Level Agreements, and more. The report also includes 5G Network Scanning by specific use cases such as Smart Manufacturing, which includes True Monitoring, Supply Chain Management, Asset Management, Time-time Monitoring, and Network Monitoring.

In addition, it provides large parts assessment such as 5G Network Slicing in consumer, enterprise, and industrial IoT. The report includes global forecasts for each area covered as well as regional estimates for 5G Network Slicing by Segment, RF Band, Application and Vertical Industry by 2023.

Target Audience:

  • Mobile Network Operators
  • API management companies
  • SDN and virtualization vendors
  • Service providers managed by Telecom
  • Providers wireless / mobile infrastructure
  • Software, Application and Content Providers
  • RAN, Cloud Computing, and MEC Research and Development establishments
  • Cloud Cloud and Cloudlet Infrastructure and service providers

Key Issues Provided:

Marketing of Mobile Edge Computers 2018 – 2023

1.0 Executive Summary
1.1 The Global Market on Multi Use Computers
1.2 Regional Markets for Multi-Use Edge Computing

2.0 Introduction
2.1 Understanding Multi-Use Edge Computers
2.1.1 Edge Computers in ICT Context
2.1.2 Proximity Computing: The Edge in a Physical and Solar Context
2.1.3 Edge Accounts Against Other Computational Methods
2.1.4 Multi-Edge Edge Computers
2.2 Important Features of MEC
2.2.1 Processing in the Edge
2.2.2 Low Latency
2.2.3 Shared Based
2.2.4 Location and Analysis
2.3 MEC benefits
2.3.1 Business Benefits
2.3.2 Technical Benefits
2.3.3 Advantages of Mobile Network Operators
2.3.4 Key Element of the Transporter Heterogenous Network Strategy

3.0 MEC Technology, Platforms, and Architecture
3.1 MEC Platform Building Building Block
3.1.1 MEC Infrastructure
3.1.2 MEC Application Platforms
3.1.3 MEC Management Framework
3.2 The Cloud Value Edge Cloud Chain
3.3 MEC Building Blocks Technology
3.3.1 Radio Network Information Service
3.3.2 Function of Traffic Breakdown
3.3.3 MEC interfaces
3.3.4 Managing Configurations
3.3.5 Managing the Life of the Life Cycle
3.3.6 VM Operations and Control
3.3.7 Virtualization and Hardware Infrastructure Management
3.3.8 Core Network Elements
3.3.9 Open Standards
3.4 MEC Technology Enablers
3.4.1 Mobile Computing to Compute Mobile Companies
3.4.2 Cloudlet-based Mobile Computer Computing
3.4.3 Cloudlet i Cloud
3.4.4 PacketCloud Open Platform for Cloudlets
3.4.5 Enterprise Company Architecture
3.4.6 Solutions Cloudlet
3.4.7 Cloudlet Storage Frameworks
3.5 Considerations Using MEC
3.5.1 MEC Action Challenges
3.5.2 MEC Operational Challenges

4.0 MEC Market Drivers and Opportunities
4.1 Cloud Convergence Restrictions
4.2 IT and Telecommunications Network Convergence
4.3 Evolution of Foundation Station
4.4 Cell Combination
4.5 Virtualization in the Cloud
4.6 Ability to continually Improve Administrators
4.7 Data Center for Network Interaction
4.8 Open and Flexible App and Service Ecosystem
4.9 Fifth Generation (5G) Wireless
4.10 Edge Cloud and Data Transferability
4.11 Computers of Britain Estimated
4.12 Introducing Increasing Faster Content
4.13 The Benefits of Using Small Cells MEC
4.14 Demand for General Mobile Data
4.15 Low Latency Applications
4.16 MEC integration with Cloud RAN
4.17 MEC is Improving Real Time Data and Analysis
4.17.1 Why Data in the Edge?
4.17.2 Convergence of Distributed Club and Major Data

5.0 Ecosystem MEC
5.1 The General Edge Computer Ecosystem
5.2 MEC Ecosystem Players
5.2.1 ETSI MEC ISG
5.2.2 Software and ASPs
5.2.3 OTT Service and Content Providers
5.2.4 Network Infrastructure and Equipment Providers
5.2.5 Mobile Network Operators
5.3 Individual Company Analysis
5.3.1 ADLINK Technology Inc.
5.3.2 Advantech
5.3.3 Akamai Technologies
5.3.4 Communication Allot
5.3.5 Advanced Micro Devices
5.3.6 Brocade Communications Systems
5.3.7 Cavium Networks
5.3.8 Ceragon Networks
5.3.9 Cisco Systems
5.3.10 Fujitsu Technology Solutions
5.3.11 Hewlett Packard Enterprise
5.3.12 Huawei Technologies Co. Ltd
5.3.13 IBM Corporation
5.3.14 Integrated Device Technology
5.3.15 Intel Corporation
5.3.16 InterDigital Inc.
5.3.17 Juniper Networks
5.3.18 NEC Corporation
5.3.19 Nokia Corporation
5.3.20 PeerApp Ltd
5.3.21 Quortus
5.3.22 Redhat, Inc.
5.3.23 Saguna Networks
5.3.24 Samsung Electronics Co., Ltd.
5.3.25 Sony Corporation
5.3.26 Wireless SpiderCloud
5.3.27 Vasona Networks
5.3.28 Xilinx, Inc.
5.3.29 Yaana Ltd.
5.3.30 ZTE Corporation

6.0 MEC Application and Service Strategies
6.1 Mobile Cloud Optimization
6.1.1 Mobile Network Operator Strategies
6.1.2 Service Strategies and Consumer Demands
6.2 Aware of Services Context
6.2.1 Trade
6.2.2 Education
6.2.3 Gaming
6.2.4 Healthcare
6.2.5 Location Services
6.2.6 Public Safety
6.2.7 Associated Vehicles
6.2.8 Wearables
6.3 Data Services and Analyzes
6.3.1 Realized Real Time Data Derives from the King
6.3.2 Local Anonymous and Non-Real Timeless Data for Third Party Use
6.3.3 Increase the Demand for Data as a Service (DaaS) in the MEC Environment

7.0 Mobile Edge Computer Forecasts 2019 – 2025
7.1 Computers Edge Computers Mobile by Components
7.1.1 Computers Edge Mobile Market Market Cloud by Category
7.1.2 Mobile Edge Computer Equipment Market by Category ($ Millions)
7.1.3 Mobile Edge Computer Platform Market by Category ($ Millions)
7.1.4 Computer Edge Mobile Software and API Market in Vertical Segment ($ Millions)
7.1.5 Mobile Edge Computers As a Service Market by Type
7.2 Prospects from the Consumer Number of Mobile Edge Computers through the Support Network
7.3 Marketing of Mobile Edge Computers by the Use of Use Technology
7.3.1 Mobile Edge Computer Markets by Type Analytics
7.4 Mobile Edge Computers Marketing through Applications
7.5 Mobile Edge Computers Marketing by End Users
7.6 Marketing of Edge Mobile Computer Computers by Industry
7.7 Geographical Markets on Mobile Edge Computers
7.7.1 North America
7.7.2 Europe
7.7.3 APAC

8.0 Appendix One: Real Time Data Analyzes Revenue
8.1 Analysis and Global Streaming Analysis Revenue
8.2 Recruiting Global Real Time Data Analysis through App, Software and Services
8.3 Analytical Accounts Global Real Time Data in Verticals Industry
8.3.1 Recruiting Real Time Data Analysis in Retailing
8.3.2 Real Estate Analysis & Real Time Data in Telecom and IT
8.3.3 Real Estate Analysis & Real Time Data in Energy and Utility
8.3.4 Real Estate Analysis & Real Time Data in Government
8.3.5 Real Revenue Time Data Analysis in Healthcare and Life Science
8.3.6 Real Estate Analysis & Real Time Data Manufacturing
8.3.7 Analysis of Real Time Data and Real Estate in Transport and Logistics
8.3.8 Recruiting Real Time Data Analyzes in Banking and Finance
8.3.9 Real Estate Analysis & Real Time Data in Smart Cities
8.3.10 Real Revenue Real Time Data Analyzes
8.3.11 Real Time Revenue Data in Education Analyzes
8.3.12 Recruiting Real Time Data Analyzes in Outsourcing Services
8.4 Real Revenue Time Data Analyzes by the Leading Vendors Platform
8.4.1 Global Investment in the Industry Data Sector

9.0 Appendix Two: 5G Technology and Outlook Outlook
9.1 Market Definition of 5G
9.2 Evolution of Mobile Communications Standards (1G to 5G)
9.3 Introduction to 5G Technology
9.4 Spectrum Options and 5G Use
9.5 What can offer 5G Technology?
9.5.1 The 5G Network will Facilitate Faster and Lesser Services
9.6 Key Benefits and 5G Growth Drivers
9.7 Challenges for 5G
9.7.1 Constant Growth Requirements in Technology and Service Features
9.7.2 Moderation Challenges
9.7.3 Network Challenges
9.7.4 Mobile Device Challenges
9.7.5 Application Challenges
Map 9.8 5G
9.8.1 5G requirements
9.8.2 Subsystem Wireless 5G
9.8.3 Networking Networking and Networking Networks
9.8.4 Convergence connectivity
9.9 5G Case Use
9.9.1 5G in M2M and IoT
9.9.2 5G in Robotics
9.9.3 5G in Virtual Reality and Free
9.9.4 5G in the Home Internet
9.9.5 5G at the Wireless Office
9.9.6 Other Use Cases
9.9.6.1 High Speed ​​Train
9.9.6.2 Correct Computing
9.9.6.3 Hot Non-Station Spaces
9.9.6.4 3D Connectivity: Aircraft
9.9.6.5 Natural Disaster
9.9.6.6 Public Protection
9.9.6.7 Aware Context Service
9.10 Business Opportunities

Network Shock in 5G Networks 2018 – 2023

1 Executive Summary

2 Introduction
2.1 Network Shocking
2.2 Enabling Technologies
2.2.1 Defined Software Networks (SDN)
2.2.2 Network Function Interactive (NFV)
2.2.3 SDN and NFV Synergies for 5G Service Classes

Analysis and Market Prospects Slicing Network 3 5G
3.1 Global Market Forecast 2018 – 2023
3.1.1 Total 5G Network Slicing Market
3.1.2 5G Network Slicing Market by Segment
3.1.2.1 Slicing Network Technology Market 5G
3.1.2.2 5G Network Slicing Components Network RF
3.1.2.3 5G Network Sliding Service Market
3.1.2.3.1 5G Slicing Professional Professional Market
3.1.2.3.2 Slicing Network Network Management Service 5G
3.1.2.3.3 5G Clients QoE Market Market Slicing Network
3.1.2.3.4 5G Network Slicing Management Service
3.1.2.3.5 5G Network Slicing Networks Life Service Management Market
3.1.2.3.6 5G Network Scanning Configuration Management Market
3.1.2.3.7 Network 5G Scanning Performance Management Market
3.1.2.3.8 SLA Slicing 5G Network Client Service Client
3.1.2.3.9 Slicing Network 5G Network Display Service Market
3.1.3 Market Slicing Network by RF Spectrum Bands
3.1.4 5G Network Slicing Application Market
3.1.4.1 IoT Application Network Market Users 5G Network Slicing
3.1.4.2 Enterprise Slicing Network / IoT Industrial Industrial Industrial 5G
3.1.4.2.1 Smart Slicing 5G Network Manufacturing Application Market
3.1.5 5G Network Slicing Market by Vertical Industry
3.2 Regional Market Forecast 2018 – 2023

4 Conclusions and Recommendations

For more information about this report go to https://www.researchandmarkets.com/research/gn4jj7/combination?w=5

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