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市場調查報告書

寬頻應用及服務最佳化:行動網路邊界運算 (MEC) 及霧運算

Broadband Application and Service Optimization: Mobile Edge Computing (MEC) and Fog Computing

出版商 Mind Commerce 商品編碼 357116
出版日期 內容資訊 英文 40 Pages
商品交期: 最快1-2個工作天內
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寬頻應用及服務最佳化:行動網路邊界運算 (MEC) 及霧運算 Broadband Application and Service Optimization: Mobile Edge Computing (MEC) and Fog Computing
出版日期: 2016年05月02日 內容資訊: 英文 40 Pages
簡介

本報告提供行動/行動電話及邊際雲端環境的分散式運算相關的技術、解決方案相關評價,對應用行動/無線及IoT邊界運算的未來預測,以及分散運算,即時分析,及資料管理等之安全等課題的重要架構、服務分析,為您概述為以下內容。

第1章 摘要整理

第2章 簡介

第3章 行動網路邊界運算 (MEC)

  • MEC平台架構、結構要素
    • MEC基礎設施
    • MEC應用程式平台
    • MEC經營管理組成架構
  • 邊際雲端的MEC價值鏈
  • MEC技術、結構要素
    • 無線網路資訊服務
    • 流量卸載功能
    • 介面
    • 結構管理
    • 應用生命週期管理
    • VM營運、管理
    • 硬體設備虛擬化、基礎架構管理系統
    • 核心網路要素
    • 開放式規格功能
  • MEC技術推動者
    • 從行動計算到行動雲端運算
    • Cloudlets為基礎的行動雲端運算
    • 從Cloudlets到雲端
    • Cloudlets的封包雲端的開放式平台
    • 企業雲端的架構
    • AKAMAI Cloudlets解決方案
    • OpenICloudlets儲存組成架構
  • MEC發展範圍

第4章 霧運算

  • 最尖端的IoT運算:霧運算
  • 霧運算、資料管理
  • 霧運算,IoT,及巨量資料分析
  • 霧運算及IoTmedieshon
  • 霧運算及IoT虛擬-現實物體控制
  • 霧運算的安全

第5章 無線、行動應用程式及服務

  • 行動雲端的最佳化
    • 無線電信業者策略
    • 行動雲端服務的促進要素、終端用戶需求
  • 情境感知行動雲服務
    • 行動雲端貿易
    • 行動雲端教育
    • 行動雲端遊戲
    • 行動雲端醫療保健
    • 行動定位服務
    • 行動公共安全性
    • 行動車輛服務
    • 行動穿戴式服務
  • IoT應用支撐的邊界運算
  • 利用案例
    • H2H
    • H2M及M2H
    • M2M
  • MEC強化的即時巨量資料、分析
    • 為何資料最尖端?
    • 分散式雲端,IoT,及巨量資料的匯流

第6章 結論、建議

圖表

目錄

Overview:

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.

Report Benefits:

  • Identify key technologies
  • Understand edge computing
  • Identify edge computing use cases
  • Identify key edge computing issues
  • Understand MEC vs. Fog Computing
  • Understand MEC cellular integration

Table of Contents

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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