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Data Analytics in Edge Computing: Big Data and Data as a Service in Mobile Edge Computing

Data Analytics in Edge Computing: Big Data and Data as a Service in Mobile Edge Computing

  • January 2019
  • 348 pages
  • ID: 5727598


Table of Contents

Often used synonymously,MEC refers to Mobile Edge Computing or Multi Access Edge Computing with the former being more cellular network centric (LTE and 5G) and the latter terminology adopted by standards groups to generalize edge computing to reflect that it may be also be used by WiFi and other wireless access technologies.The distinction between Multi Access Edge Computing vs.Mobile Edge Computing for MEC largely ends with radio access and network type as almost every other aspect is the same including localizing computing (e.g.computation and storage closer to the end-user),network element virtualization,software and service-centric operations.

In cellular networks,edge computing via MEC is beneficial for LTE,but virtually essential for 5G.This is because Mobile Edge Computing facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most.Mind Commerce research findings indicate a strong relationship between edge computing and 5G.In fact,if it were not for MEC,5G would continue to rely upon back-haul to centralized cloud resource for storage and computing,diminishing much of the otherwise positive impact of latency reduction enabled by 5G.

DaaS is one part of the larger Everything as a Service (XaaS) cloud computing based services model,including the traditional three horizontals of SaaS (Software as a Service),PaaS (Platform as a Service),and IaaS (Infrastructure as a Service).It intersects with all three and derives value from a number of different horizontals and verticals.Mind Commerce sees considerable competition in the market,happening at a variety of different levels,with feature highly variable between vendors.This causes confusion for the enterprise and causes them to often choose two or more providers.Barriers to enterprise adoption of the DaaS model include include security concerns,reliability,regulation,vendor lock-in/interoperability,IT management overhead,and other costs.

This research evaluates the telecom and IT ecosystem in support of MEC including communications and computing infrastructure providers,managed services vendors,carriers and OTT providers.Our MEC analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs.It also provides quantitative analysis of the Mobile Edge Computing market including segmentation by industry vertical,region of the world,application and services.It also provides forecasts for MEC based streaming data and real-time data analytics.

This research also provides an in-depth assessment of the global Big Data market,including business case issues/analysis,application use cases,vendor landscape,value chain analysis,and a quantitative assessment of the industry with forecasting from 2018 to 2023.This report also evaluates the components of Big Data infrastructure and security framework.

This research also evaluates the technologies,companies,strategies,and solutions for DaaS.It assesses business opportunities for enterprise use of own data,others data,and combination of both.It also analyzes opportunities for enterprise to monetize their own data through various third-party DaaS offerings.It also evaluates opportunities for DaaS in major industry verticals as well as the future outlook for emerging data monetization.Forecasts include global and regional projections by Sector,Data Collection,Source,and Structure from 2018 to 2023.All direct 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.

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• Corporate and Institutional Investors
• Government and International Bodies
• Lawyers,Bankers,Libraries,Embassies
• Patent Offices and Technology Executives
• Venture Capitalists,Consultants and more
• Management Consulting and Advisory Firms

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