ブロードバンドアプリケーション及びサービス最適化:モバイルエッジコンピューティング(MEC)及びFogコンピューティング

◆英語タイトル:Broadband Application and Service Optimization: Mobile Edge Computing (MEC) and Fog Computing
◆商品コード:MIND60613
◆発行会社(調査会社):Mind Commerce
◆発行日:2016年5月
◆ページ数:40
◆レポート言語:英語
◆レポート形式:PDF
◆納品方法:Eメール
◆調査対象地域:グローバル
◆産業分野:通信・IT
◆販売価格オプション(消費税別)
Single User(1名利用)USD1,995 ⇒換算¥227,430見積依頼/購入/質問フォーム
Team License(~5名利用)USD2,995 ⇒換算¥341,430見積依頼/購入/質問フォーム
Company-wide License(全社内共有可)USD4,995 ⇒換算¥569,430見積依頼/購入/質問フォーム
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【レポートの概要】

Mobile Edge Computing (MEC) is a concept developed by ETSI (European Telecommunications Standards Institute) that aims to bring computational power into Mobile RAN (radio access network) to promote virtualization of software at the radio edge. MEC enables the edge of the network to run in an isolated environment from the rest of the network and creates access to local resources and data.
Fog Computing is a distributed computing infrastructure in which some application services are controlled at the network edge in a smart device and some application services are controlled in a remote data center (e.g. a centralized Cloud). In a Fog Computing environment, a considerable amount of processing may occur in a data hub on a smart mobile device or on the edge of the network in a smart router or other gateway device. This distributed approach is rising in popularity due to the Internet of Things (IoT) and the immense amount of data that sensors generate.

This research evaluates the technologies and solutions involved with distributed computing in a mobile/cellular and edge Cloud environment. The report assesses the future of edge computing for mobile/wireless and IoT. The report analyzes important architecture and service support issues such as security in distributed computing, real-time analytics, data management, and more. 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.

【レポートの目次】

1.0 EXECUTIVE SUMMARY
2.0 INTRODUCTION
2.1 EDGE COMPUTING
2.2 EDGE COMPUTING VS. CLUSTER COMPUTING
2.3 MOBILE EDGE COMPUTING (MEC)
2.4 FOG COMPUTING
2.5 CLOUD COMPUTING VS. FOG COMPUTING
2.6 MEC VS. FOG COMPUTING
2.7 MOBILE CLOUD COMPUTING (MCC)
2.8 MCC AND CLOUDLETS
3.0 MOBILE EDGE COMPUTING (MEC)
3.1 MEC PLATFORM ARCHITECTURE AND BUILDING BLOCKS
3.1.1 MEC INFRASTRUCTURE
3.1.2 MEC APPLICATION PLATFORM
3.1.3 MEC MANAGEMENT FRAMEWORK
3.2 MEC VALUE CHAIN FOR EDGE CLOUD
3.3 MEC TECHNOLOGY AND BUILDING BLOCKS
3.3.1 RADIO NETWORK INFORMATION SERVICE
3.3.2 TRAFFIC OFFLOAD FUNCTION
3.3.3 INTERFACE
3.3.4 CONFIGURATION MANAGEMENT
3.3.5 APPLICATION LIFECYCLE MANAGEMENT
3.3.6 VM OPERATIONS AND MANAGEMENT
3.3.7 HARDWARE VIRTUALIZATION AND INFRASTRUCTURE MANAGEMENT SYSTEM
3.3.8 CORE NETWORK ELEMENTS
3.3.9 OPEN STANDARD FUNCTION
3.4 MEC TECHNOLOGY ENABLER
3.4.1 MOBILE COMPUTING TO MOBILE CLOUD COMPUTING
3.4.2 CLOUDLETS BASED MOBILE CLOUD COMPUTING
3.4.3 CLOUDLET TO CLOUD
3.4.4 PACKETCLOUD OPEN PLATFORM FOR CLOUDLET
3.4.5 ENTERPRISE CLOUD ARCHITECTURE
3.4.6 AKAMAI CLOUDLET SOLUTION
3.4.7 OPENI CLOUDLET STORAGE FRAMEWORK
3.5 MEC DEPLOYMENT SCOPE
4.0 FOG COMPUTING
4.1 IOT COMPUTING AT THE EDGE: FOG COMPUTING
4.2 FOG COMPUTING AND DATA MANAGEMENT
4.3 FOG COMPUTING, IOT, AND BIG DATA ANALYTICS
4.4 FOG COMPUTING AND IOT MEDIATION
4.5 FOG COMPUTING AND IOT VIRTUAL-TO-REAL OBJECT CONTROL
4.6 SECURITY IN FOG COMPUTING
5.0 WIRELESS AND MOBILE APPLICATIONS AND SERVICES
5.1 OPTIMIZING THE MOBILE CLOUD
5.1.1 WIRELESS CARRIER STRATEGIES
5.1.2 MOBILE CLOUD SERVICE DRIVERS AND END-USER DEMAND
5.2 CONTEXT-AWARE MOBILE CLOUD SERVICES
5.2.1 MOBILE CLOUD COMMERCE
5.2.2 MOBILE CLOUD EDUCATION
5.2.3 MOBILE CLOUD GAMING
5.2.4 MOBILE CLOUD HEALTHCARE
5.2.5 MOBILE LOCATION SERVICES
5.2.6 MOBILE PUBLIC SAFETY
5.2.7 MOBILE VEHICLE SERVICES
5.2.8 MOBILE WEARABLE SERVICES
5.3 EDGE COMPUTING SUPPORTED IOT APPLICATIONS
5.4 USE CASES
5.4.1 HUMAN TO HUMAN
5.4.2 HUMAN TO MACHINE AND MACHINE TO HUMAN
5.4.3 MACHINE TO MACHINE
5.5 MEC ENHANCES REAL-TIME BIG DATA AND ANALYTICS
5.5.1 WHY DATA AT THE “EDGE”?
5.5.2 CONVERGENCE OF DISTRIBUTED CLOUD, IOT, AND BIG DATA
6.0 CONCLUSIONS AND RECOMMENDATIONS

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: Cloud Edge Computing Architecture
Figure 8: Data Management in Fog Computing
Figure 9: Big Data Analytics and IoT
Figure 10: IoT Mediation and Data Management
Figure 11: Smart Objects in Physical Environment
Figure 12: Security in Fog Computing
Figure 13: The Cloud, APIs, and Third-party Applications


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