市場調查報告書

霧運算:CSP (通訊服務供應商) 的機會與課題

Fog Computing: Opportunities & Challenges for CSPs

出版商 Heavy Reading 商品編碼 408572
出版日期 內容資訊 英文 25 Pages
商品交期: 最快1-2個工作天內
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霧運算:CSP (通訊服務供應商) 的機會與課題 Fog Computing: Opportunities & Challenges for CSPs
出版日期: 2016年12月13日內容資訊: 英文 25 Pages
簡介

霧運算(又名霧聯網)是電信運營商和技術供應商的最新潛在破壞者。霧運算的願景看好,不但將取代虛擬化和雲端運算,甚至可嚐試將待機時間縮短到零。但要實現這個願景,就必須解決與核心/行動·網路的兼顧等堆積如山的課題。

本報告提供霧運算 (Fog Computing)概要和今後的普及預測,提供其與各種網路和IoT的關聯性等相關分析,再考察通訊服務供應商可從該領域所得的市場機會,及為此應該解決的課題。

第1章 摘要整理

第2章 與霧運算核心網路

  • 「歡迎來到零候機時間 (latency) 的世界」
  • 分散式·預見型政策和分析的登場
  • 開放原始碼和微服務的影響度
  • 雲端的匯流 (集中化)

第3章 霧運算與行動網路

  • 市場概況:現實
  • 市場概況:希望的預測
  • 行動網路的資產
  • 設備:資源的手機

第4章 霧運算和資料中心

第5章 IoT (物聯網):霧運算的催化劑

  • 去除M2M (機器間通訊)的糾結
  • IoT和「邊際」
  • 虛擬邊際
  • Cloudlets (Cloudlets,小規模雲端) 和霧運算
  • IoT的生態系統左右OpenFog Consortium
  • 霧運算可實現IoT
  • 企業網路的管理
  • CSP (通訊服務供應商)引進霧運算來作為附加價值服務的市場機會
  • IoT會否成為霧運算的催化劑,還是會將之推往不同的方向?

第6章 霧運算安全:第四領域的登場

利用條件

目錄

The certainty of change -- along with the uncertainty that change brings -- is now painfully common for communications service providers (CSPs). While CSPs and the networks and services they deliver are at the heart of the global economy, the now-constant barrage of technology innovations, business disruptions, and regulatory shifts has put CSPs under enormous pressure that shows no sign of easing.

Fog computing (a.k.a. fog networking) is the latest potential disruptor for CSPs and their technology suppliers. The term itself raises the specter of fear, uncertainty, and doubt that CSPs have faced since the dawn of this century. If virtualization and the cloud weren't murky enough concepts, fog comes rolling in to add to the degree of difficulty for developing and implementing long-term business and technology plans.

Despite its vaguely menacing name, the underlying concept of fog computing is fairly clear. Very simply put, fog computing pushes the concept of virtualization out to the very edges of the network, with the goal of getting network latency as close to zero as possible. In this context, fog is a logical extension of the network virtualization that is taking place deeper inside the network.

Mobile edge computing (MEC) can be viewed as one aspect of the fog model, specific to mobile networks. The MEC architecture uses virtualization to push applications and processing tasks closer to the user, potentially as far as the base station -- which not only greatly reduces the distance from the network to the end user, but also reduces backhaul requirements. ETSI is now working on standards for MEC, which is seen as essential to the successful deployment of 5G networks and services.

But fog computing's potential benefits can be extended to wireline networks, as well. The most obvious application for fog in the wireline network is the extension of cloud services out to the network edge, again with lower latency in mind. Extending the fog model to all types of networks will also be critical for applications that will run over different types of networks, such as Internet of Things (IoT) systems. And taken to its logical conclusion, fog will eventually extend to envelop the end devices themselves.

While the basic concept of fog computing is relatively straightforward, implementation and deployment issues are far from clear. One obvious reason is that fog is still in a fairly early stage of development. The OpenFog Consortium, an industry/university group, was launched in November 2015, and to this point its output consists of a handful of white papers. Another cause is the very real possibility that different implementations will require variations on the overall fog theme: Yes, fog computing involves pushing more functions out to the edge, but which functions are pushed and where they end up will vary.

This report presents Heavy Reading's current thinking on fog computing and its likely role in the development of next-generation networks and services. For this initial look at fog and its potential impact on CSP networks and services, we've focused on five basic aspects of fog deployment: the conventional core network, mobile networks, CSP data centers, IoT systems, and security. Subsequent reports will provide deeper dives into these areas and other aspects of fog computing and networking.

Fog Computing: Opportunities & Challenges for CSPs is organized as follows:

  • In Section 2, Senior Analyst Jim Hodges explores the implications fog computing has for the core network.
  • In Section 3, Senior Analyst Gabriel Brown examines the potential impact of fog computing on mobile networks.
  • Senior Analyst Roz Roseboro outlines the possible implications of fog computing in CSP data centers in Section 4.
  • In Section 5, Senior Analyst Steve Bell assesses the transformative possibilities of fog computing and IoT.
  • Chief Analyst Patrick Donegan discusses the security implications of fog computing in Section 6.

Table of Contents

1. EXECUTIVE SUMMARY

  • 1.1 Key Findings
  • 1.2 Report Outline

2. FOG COMPUTING & THE CORE NETWORK

  • 2.1 Welcome to the World of Zero Latency
  • 2.2 The Rise of Distributed Predictive Policy & Analytics
  • 2.3 The Impact of Open Source & Microservices
  • 2.4 Cloud Convergence

3. FOG COMPUTING & THE MOBILE NETWORK

  • 3.1 Market View - the Reality
  • 3.2 Market View - the Hype
  • 3.3 Mobile Network Assets
  • 3.4 Devices - Handsets as Fog Resource

4. FOG COMPUTING & THE DATA CENTER

5. IOT: THE CATALYST FOR FOG

  • 5.1 Disentangling M2M
  • 5.2 IoT & the Edge
  • 5.3 The Virtual Edge
  • 5.4 Cloudlets & Fog
  • 5.5 IoT Ecosystems Drive the OpenFog Consortium
  • 5.6 Fog Enables IoT
  • 5.7 Enterprise Network Management
  • 5.8 CSPs Embrace Fog as a Value-Added Opportunity
  • 5.9 Is IoT the Catalyst for Fog, or the Other Way Round?

6. FOG SECURITY: THE RISE OF THE FOURTH DOMAIN

TERMS OF USE

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