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Mobile Edge Computing (MEC): Technology, Solutions, and Future of Wireless Apps and Content

Mobile Edge Computing (MEC): Technology, Solutions, and Future of Wireless Apps and Content

Mobile Edge Computing (MEC) represents cloud-computing capabilities and an IT service environment at the edge of the mobile network. The edge of the network includes base station infrastructure and data centers close to the radio network, which can extract network context from Radio Access Network (RAN) and process in a distributed manner.

MEC brings virtualized applications much closer to mobile users ensuring network flexibility, economy and scalability for improved user experience. It facilitates a service environment that allows seamless access experience and responsiveness for content, services, and applications. It provides mobile network operators with an opportunity to play a greater role in an emerging ecosystem as they can add value through optimized apps and content.

MEC promises to bridge the gap between
IT and wireless communications

Supported by leading organizations such as ETSI ISG, IBM, Intel, Nokia Network, Huawei, NTT DoCoMo, Saguna, and Vodafone, MEC will be applied in a wide array of areas including content delivery, DNS caching, RAN optimization, offloading, IoT connectivity, distributed video, critical communications, and urban security. MEC is also anticipated to create a new ecosystem that will positively impact various vertical markets.

This research evaluates MEC technology, architecture and building clocks, ecosystem, market drivers, applications, solutions, and deployment challenges. The report also analyzes MEC industry initiatives, leading companies, and solutions. It also includes a market assessment and forecast to 2025. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Mobile Network Operators
API management companies
SDN and virtualization vendors
Telecom managed service providers
Wireless/mobile infrastructure providers
Software, Application, and Content Providers
RAN, Cloud Computing, and MEC R&D organizations
Cloud and Cloudlet infrastructure and service providers

Companies in Report:

ADLINK
Advantech
EE
ETSI
Huawei
IBM
Integrated Device Technology (IDT)
Intel
Juniper Network
Nokia Network
NTT DoCoMo
Parallel Wireless
PeerApp
Saguna
Small Cell Forum
SpiderCloud Wireless
Vasona Network
Vodafone

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 Introduction
1.1 What Is Mobile Edge Computing (Mec)?
1.2 Characteristics Of Mec
1.2.1 Processing At The Edge
1.2.2 Low Latency Network
1.2.3 Context Based Service
1.2.4 Location Service And Analytics
1.3 Benefits Of Mec
1.3.1 Business Benefits
1.3.2 Technical Benefits
1.3.3 Mno Specific Benefit
2.0 Mec Platform Architecture And Technology
2.1 Mec Platform Architecture And Building Blocks
2.1.1 Mec Infrastructure
2.1.2 Mec Application Platform
2.1.3 Mec Management Framework
2.2 Mec Value Chain For Edge Cloud
2.3 Mec Technology And Building Blocks
2.3.1 Radio Network Information Service
2.3.2 Traffic Offload Function
2.3.3 Interface
2.3.4 Configuration Management
2.3.5 Application Lifecycle Management
2.3.6 Vm Operations And Management
2.3.7 Hardware Virtualization And Infrastructure Management System
2.3.8 Core Network Elements
2.3.9 Open Standard Function
2.4 Mec Technology Enabler
2.4.1 Mobile Computing To Mobile Cloud Computing
2.4.2 Cloudlets Based Mobile Cloud Computing
2.4.3 Cloudlet To Cloud
2.4.4 Packetcloud Open Platform For Cloudlet
2.4.5 Enterprise Cloud Architecture
2.4.6 Akamai Cloudlet Solution
2.4.7 Openi Cloudlet Storage Framework
2.5 Mec Deployment Scope
3.0 Mec Ecosystem And Market Players
3.1 Mec Network Ecosystem
3.2 Mec Network Structure And Environment
3.3 Mec Ecosystem Players
3.3.1 Software & Asps
3.3.2 Ott Service And Content Providers
3.3.3 Network Infrastructure And Equipment Providers
3.3.4 Mobile Network Operators (Mnos)
4.0 Mec Market Drivers
4.1 Limitation Of Cloud Convergence
4.2 It And Telecom Network Convergence
4.3 Base Station Evolution
4.4 Cell Aggregation Point
4.5 Virtualization And Cloud
4.6 High Volume Servers
4.7 Data Center To Network
4.8 Application And Service Ecosystem
4.9 5g Network
4.10 Edge Cloud And Data Transferability
4.11 Proximate Cloud Computing
4.12 Faster Content Delivery
4.13 Mec For Small Cells
4.14 Mobile Data Demand
4.15 Fog Computing And Low Latency
4.16 C-ran And Cloud Ran
5.0 Mec Application Areas
5.1 Location Tracking
5.2 Mobile Content Delivery
5.3 Content Rerouting
5.4 Video Analytics
5.5 Content Optimization
5.6 Dns Caching
5.7 Performance Optimization
5.8 Multiple Mesh Clustering
5.9 Augmentation
5.10 Proximity Connectivity
5.11 Enterprise Connectivity
5.12 Offloading
5.13 Internet Of Things
5.14 Critical Communication And Urban Security
6.0 Mec Deployment Challenges
6.1 Limited Computing And Storage Resources
6.2 Variable Throughput
6.3 Low Physical Security
6.4 Limited Investment
6.5 Integration On Network Level
6.6 Portability
6.7 Application Security
6.8 Performance
6.9 Operation
6.10 Legal Factors
6.11 Pricing And Billing
7.0 Mobile Edge Computing (Mec) Market Projection Through 2025
7.1 Mec Impact Vertical Market Projection
7.1.1 Mobile Cloud Content & Application
7.1.2 Mobile Cloud And Big Data Analytics
7.1.3 Mobile Cloud Security Solution
7.1.4 Mobile Micro Data Center Solution
7.1.5 Mobile Augmented Reality Application
7.1.6 Mobile Location Based Service & Solution
7.1.7 Mobile Cloud Database & Solution
7.1.8 Mobile Cloud Server & Solution
7.1.9 Mobile Infrastructure & Equipment
7.1.10 Iot Connectivity And Solutions
7.2 Mec Network Adoption Projection Through 2020
8.0 Mec Industry Initiative And Solution Providers
8.1 Etsi Isg Initiative And Partners
8.2 Small Cell Forum
8.3 Saguna
8.4 Huawei
8.5 Nokia Network
8.6 Intel
8.7 Juniper Network
8.8 Peerapp
8.9 Ibm
8.10 Parallel Wireless
8.11 Integrated Device Technology (Idt)
8.12 Spidercloud Wireless
8.13 Advantech
8.14 Vasona Network
8.15 Adlink
8.16 Ee
9.0 Conclusions And Recommendations
9.1 Recommended Deployment Scenario
9.2 Key Takeaway For Mobile Operators And Overall Industry
Figures
Figure 1: MEC Platform Architecture and Building Blocks
Figure 2: MEC Value Chain Diagram for Edge Cloud
Figure 3: Extreme Outdoor Server: MEC Platform Example
Figure 4: Mobile Cloud Computing and Cloudlet Mobile Cloud Computing
Figure 5: Cloudlet Based PacketCloud Framework
Figure 6: Cloudlet Based Enterprise Cloud Architecture
Figure 7: Mobile Edge Computing (MEC) Network Diagram
Figure 8 MEC Network Structure and Environment
Figure 9: MEC Market Drivers
Figure 10: Fog Computing Structure
Figure 11: Mobile Network Migration Pattern: from C-RAN to MEC
Figure 12: Location Tracking Model on MEC Network
Figure 13: Content Rerouting Structure
Figure 14: MEC Video Analytics based on Intelligent System
Figure 15: MEC Content Optimization Diagram
Figure 16: MEC Content and DNS Caching Diagram
Figure 17: MEC Application Aware Performance Optimization
Figure 18: MEC Mesh Clustering Diagram
Figure 19: MEC Augmented Reality Based Content Delivery
Figure 20: MEC Proximity Connectivity for Vehicle
Figure 21: MEC Enterprise Connectivity Framework
Figure 22: IoT Gateway Service on MEC Server
Figure 23: Saguna MEC Test Results
Figure 24: MEC Server Deployment Scenarios
Tables
Table 1: MEC Forecast by Market Verticals 2020 – 2025

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