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From PC Break/Fix to CloudMASTER®
https://www.linkedin.com/in/stevendonovan It was late 2011 and Steven Donovan was comfortable working at SHI International Corporation, a growing information technology firm, as a personal computer break/fix technician. His company had been…
Is Data Classification a Bridge Too Far?
Today data has replaced money as the global currency for trade. “McKinsey estimates that about 75 percent of the value added by data flows on the Internet accrues to “traditional”…
Vendor Neutral Training: Proven Protection Against Cloud Horror Stories
Cloud computing is now entering adolescence. With all the early adopters now swimming in the cloud pool with that “I told you so” smug, fast followers are just barely beating…
Cognitive Business: When Cloud and Cognitive Computing Merge
Cloud computing has taken over the business world! With almost maniacal focus, single proprietors and Board Directors of the world’s largest conglomerates see this new model as a “must do”.…
Government Cloud Achilles Heel: The Network
Cloud computing is rewriting the books on information technology (IT) but inter-cloud networking remains a key operational issue. Layering inherently global cloud services on top of a globally fractured networking…
System Integration Morphs To Cloud Service Integration
Cloud Service Brokerage is changing from an industry footnote toward becoming a major system integration play. This role has now become a crucial component of a cloud computing transition because…
Networking the Cloud for IoT – Pt 3 Cloud Network Systems Engineering
Dwight Bues & Kevin Jackson (This is Part 3 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design. Networking the Cloud for IoT –…
Networking the Cloud for IoT – Pt. 2 Stressing the Cloud
Dwight Bues & Kevin Jackson This is Part 2 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design. Part…
Networking the Cloud for IoT – Pt. 1: IoT and the Government
Dwight Bues & Kevin Jackson This is Part 1 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design:…
Parallel Processing and Unstructured Data Transforms Storage
(This post originally appeared on Direct2Dell, The Official Dell Corporate Blog) Enterprise storage is trending away from traditional, enterprise managed network-attached storage (NAS) and storage area networks (SAN) towards a…
Edge computing provides compute, storage, and networking resources close to devices generating traffic. Its benefits are based on an ability to provide new services capable of meeting stringent operational requirements by minimizing both data latency and the need for bandwidth. Based on Google trend data, searches for the term has also grown substantially over the past five years.
Recognizing that web searches are not (yet) the arbiter of all things real, it does indicate a rapid growth of interest in the term. Observations of the information technology industry show a similar trend among application developers, particularly those working in manufacturing, gaming, AR/VR, and automotive. Their work seems focused on the exploration of quite a few significant business opportunities arising from the introduction of edge computing and 5G. Communication service providers are also mimicking the interest by evolving their centralized NFV infrastructure to distributed cloud infrastructure to build out edge clouds handling telecom applications and third-party applications.
While all this activity does support the potential of edge computing and 5G, essential questions remain regarding the potential versus the reality of edge computing. This query was the focus of an Ericsson Digital webinar presentation by João Monteiro Soares, Strategic Solution Manager, Distributed Cloud Ericsson and Alan Evans, Senior Director of Innovation Strategy at Edge Gravity.
These two industry experts focused on four key areas:
- The value of edge computing to 5G networks;
- Service provider business growth;
- Industry early adopter use cases; and
- Profitable service provider business strategies.
Ericsson projects that this segment will draw 25% of a US$14B-US$129B 5G revenue opportunity anchors their edge computing profitability argument.
Realized numbers depend on specific industry solutions and the rate of user adoption. They argued that telecommunications providers are key players in getting the solutions in place through the investment decisions they make today on testing and validation of relevant technologies, concrete business cases, and business model feasibility. Experiments should be executed to determine the:
- architectural positioning of industry dependent workloads;
- extendibility of centralized national architectures to regional and local access sites;
- deployment of NFVI centralized clouds throughout the network and to the edge;
- pros and cons of centralized services from a distributed cloud; and
- end-to-end service provider execution environment.
All of these functions require network transformation and a concerted collaboration effort around building broader, industry vertical ecosystems. All of these activities represent significant departures from the traditional telecommunications sales approach based on capital expenditure and acquisition of industry vertical appliances.
Early adopters of edge computing have discovered that the more lucrative path is towards the provisioning of industry vertical tailored on-demand services that are tempered by various maturing technologies and regulatory environments. This future state supports the operational expenditure of funds by telco customers for the consumption of virtual resources. From an infrastructure perspective, the goal should be establishing a virtualized mobile core in a true cloud-native manner. Customization, network slicing, and infrastructure platform services will all combine to enable service providers to deliver solutions across all multiple verticals, leading ones of which include:
- Gaming and entertainment;
- AR/VR Mixed Reality;
- Critical IoT;
- Smart Manufacturing; and
- Smart Automotive
To monetize future business models, service providers need to innovate towards the delivery of new services. This journey argues for a platform that is also open to innovation by third parties on top of the foundational network. Service aggregation and revenue sharing are also critical components of these new business models. Telco service provider strategies should encompass both a global industry ecosystem positional view and a local service focus on enhanced regional bandwidth and latency reduction. Technology development remains essential, but it needs to take a back seat to strategic business development activities. This challenging path requires real cultural change that counters the historic technology focus and embraces industry vertical competence and values extended vertical industry ecosystems.
Seventy to eighty percent of the required technology seems to be in place. The remaining technological requirements are determined through industry vertical use case testing across live 5G network environment. I came away from the webinar fully convinced that edge computing is indeed a real opportunity. Revenue and profit realization, however, requires joint development of industry-focused ecosystems by business application developers and telecommunications providers. They must establish joint strategies and specific use case roadmaps today or risk being left behind by their competition. The upcoming SDN World Congress promises to be a crucible for the development and testing of profitable edge computing business models. I can’t wait to find out more about how the most innovative service providers use Ericsson solutions to establish their leadership in this brave new world.
Cloud Computing
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Cybersecurity
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