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Wednesday, 20 October 2021 23:59

Vertiv research defines standard models for deploying edge infrastructure

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Vertiv, a global provider of critical digital infrastructure and continuity solutions, today released research identifying edge infrastructure models to help organisations move toward a more standardised approach to edge computing deployments, improving costs and deployment times.

Vertiv's report, Edge Archetypes 2.0: Deployment-Ready Edge Infrastructure Models, builds on the edge archetypes research and taxonomy Vertiv introduced to the industry in 2018. The new research further categorises edge sites based on factors including location and external environment, number of racks, power requirements and availability, site tenancy, passive infrastructure, edge infrastructure provider, and number of sites to be deployed.

Device Edge: The compute is at the end-device itself, either built into the device or in a standalone form that is directly attached to the device, such as AR/VR devices or smart traffic lights.

Micro Edge: A small, standalone solution that can range in size from one or two servers up to four racks. It can be deployed at the enterprise’s own site or could be deployed at a telco site, with common cases including real-time inventory management and network closets in educational facilities.

Distributed Edge Data Centre: This could be within an on-premise data centre (either a pre-existing enterprise data centre or network room or a new standalone facility). It also could be a small, distributed data centre or colocation facility located on the telco network or at a regional site. Distributed Edge Data Centres are currently common in manufacturing, telecommunications, healthcare and smart city applications.

Regional Edge Data Centre: A data centre facility located outside core data centre hubs. As this is typically a facility that is purpose-built to host compute infrastructure, it shares many features of hyper scale data centres e.g. is conditioned and controlled, has high security and high reliability. This model is common for retail applications and serves as an intermediary data processing site.

The introduction of edge archetypes three years ago advanced the understanding of the edge. It was the first formal attempt – using information gathered across the industry – to group edge applications in a way that would help organisations avoid reinventing the wheel with every edge deployment. Since then, other organisations and industry bodies have been working in parallel – and often with Vertiv as a collaborator – to create standard processes and technologies to advance the understanding and effectiveness of the edge. These latest edge infrastructure models represent the logical next step.

“As the edge matures and edge sites proliferate and become more sophisticated, creating edge infrastructure models is a necessary step toward standardised equipment and design that can increase efficiency and reduce costs and deployment timelines,” said Martin Olsen, global vice president, edge strategy and transformation for Vertiv. “Edge sites will continue to require some customisation to meet users’ specific needs, but these models streamline many fundamental choices and introduce some much-needed repeatability into edge environments. This research is especially useful for specifiers, such as channel partners, and IT management professionals.”

The research, developed with the support of analyst firm STL Partners, makes clear that edge sites will require refinements based on factors that may include environment, use case, legacy equipment, security and maintenance, enterprise data centre operations, and communications capabilities. These adjustments are possible within the framework of the edge infrastructure models, however, and do not diminish the benefits of standardisation the models provide.

“By adopting the four infrastructure models, edge players across the ecosystem can derive an array of benefits, including accelerating go-to-market and expediting the deployment of sites,” said Dalia Adib, director, consulting and edge computing practice lead, STL Partners. “The edge market is experiencing growth and this can only be bolstered by introducing some level of standardisation to the language we use for describing the edge.”

The report also examines the edge infrastructure requirements of some key verticals, including manufacturing, retail, and telecommunications, and assesses their preferred edge infrastructure models. In addition to identifying edge infrastructure models, the report provides recommendations for enterprises and solution providers deploying edge infrastructure.

“We’re at the forefront of 5G in Australia and New Zealand and with latency sensitivity at play, the data generated needs a processing home at the edge. For telcos, this means they’re increasingly placing their bets on edge sites under the unique position of being both a customer of edge computing and a provider of edge facilities,” said Robert Linsdell, Managing Director at Vertiv Australia and New Zealand. “With the right edge infrastructure model deployed, we can achieve greater levels of resilience and autonomy for the end-user, and this consideration is particularly pertinent for telcos serving those in regional localities. As we expedite the digital economy, regional communities will come to expect the low-latency, high-bandwidth technology capabilities made available to city dwellers.”

Vertiv also developed an online tool to help customers, channel partners and others who plan, select and deploy edge sites to determine the appropriate infrastructure model for their applications. The report and tool are available at Vertiv.com/EdgeArchetypes-Asia.


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David M Williams

David has been computing since 1984 where he instantly gravitated to the family Commodore 64. He completed a Bachelor of Computer Science degree from 1990 to 1992, commencing full-time employment as a systems analyst at the end of that year. David subsequently worked as a UNIX Systems Manager, Asia-Pacific technical specialist for an international software company, Business Analyst, IT Manager, and other roles. David has been the Chief Information Officer for national public companies since 2007, delivering IT knowledge and business acumen, seeking to transform the industries within which he works. David is also involved in the user group community, the Australian Computer Society technical advisory boards, and education.

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