May 17, 2020

Is hyperconvergence a game changer for smart cities?

Industry 4.0
Eric Bassier
4 min
Eric Bassier, Senior Director, Product Marketing, at video storage and management specialist Quantum, discusses why hyperconvergence will become a key factor in transforming video surveillance across smart cities of the future.
Eric Bassier, Senior Director, Product Marketing, at video storage and management specialist Quantum, discusses why hyperconvergence will become a key f...

Eric Bassier, Senior Director, Product Marketing, at video storage and management specialist Quantum, discusses why hyperconvergence will become a key factor in transforming video surveillance across smart cities of the future.

The development of smart cities around the world is gathering pace, with the total value of the global smart city market projected to exceed US$1trn by 2020 and US$2.5trn by 2025, according to a PwC report. One important and dynamic aspect in this continued growth is how digital technologies are used and deployed to improve people’s quality of life, open up options for businesses, and make for a more efficient living environment. 

The Internet of Things (IoT) is of course central to the future smart cities vision. IoT enables multiple devices and sensors to be monitored and controlled remotely, as they communicate between one another over a shared network. The result is that buildings and cities are becoming both smarter and more connected – generating a huge amount of data in the process.

At the heart of this new network sits a video surveillance architecture that is becoming increasingly complex due to factors such as an increase in camera counts and resolutions and the adoption of data analytics. These trends are creating complications when it comes to managing modern video surveillance environments, and it’s quickly becoming clear that hyperconvergence will be key to meeting future requirements.

The power of hyperconverged infrastructures

Hyperconvergence is one of the biggest buzzwords in the IT industry. It refers to the concept of merging separate servers, networking, and storage systems into one single architecture, as opposed to the traditional ‘three-tier’ architecture that is still used by many security departments today.

In the traditional surveillance model, data is sent from the camera to the VMS recording server, then to the network switch, and finally to the storage device. As the data is sent over the network, each step adds network latency. However, the hyperconverged model brings the VMS management and recording servers onto the same server that controls the storage, thereby reducing latency by bypassing the need for an intermediate network switch.


This type of infrastructure also makes it easier to manage by significantly reducing technical complexity. Security and facilities workers only have to interact with one platform, instead of having to manage a combination of multiple servers, switches and storage devices. Fewer components requiring maintenance simplifies the architecture, in turn cutting business risk and helping to improve security.

Finally, the fact that the “compute” or server resources sit right next to the storage in hyperconverged infrastructure plays a key role in enabling data analytics. Security departments are now using a range of techniques to analyse surveillance data, such as object recognition and automatic number plate recognition (ANPR). As analytics runs faster on hyperconverged platforms, businesses can use these techniques to quickly discover potential vulnerabilities, optimise their operations and manage security in more sophisticated ways.  

New opportunities for AI and machine learning 

Hyperconvergence will also be central to enabling the transition of the role of CCTV footage beyond its traditional focus on security and loss prevention. Surveillance is now being used to help businesses gain new insights and identify new opportunities by extracting additional value from the data being collected.

Many of the applications now associated with video surveillance make use of compute-intensive analytics and AI-based processes, such as when searching for objects and trends by analysing a large number of video frames. Thanks to hyperconvergence, these operations can now be run on both a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit).

Because the compute resources are close to the storage, hyperconverged infrastructure enables intelligent analytics powered by AI and machine learning software. These architectures can also be more flexible about deploying either CPU and/or GPU resources to suit different needs. The combination of these factors means that, although still in the relatively early stages, the adoption of hyperconvergence could act as an inflection point for these next-generation technologies in the surveillance sector.

As the continuing development of smart cities sees more and more building control systems become digitally connected, security professionals can’t afford to ignore hyperconverged architectures. Not only can they make infrastructures more efficient and flexible, they can reduce a huge amount of the complexity associated with managing the rising amount of data being collected.

Most importantly, they can provide a way for organisations to refresh their security infrastructure and reposition video surveillance beyond its traditional position to deliver more value, more insight and realise the opportunities presented by the smart cities of the future.

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Jun 18, 2021

GfK and VMware: Innovating together on hybrid cloud

3 min
VMware has been walking GfK along its path through digital transformation to the cloud for over a decade.

GfK has been the global leader in data and analytics for more than 85 years, supplying its clients with optimised decision inputs.  

In its capacity as a strategic and technical partner, VMware has been walking GfK along its digital transformation path for over a decade. 

“We are a demanding and singularly dynamic customer, which is why a close partnership with VMware is integral to the success of everyone involved,” said Joerg Hesselink, Global Head of Infrastructure, GfK IT Services.

Four years ago, the Nuremberg-based researcher expanded its on-premises infrastructure by introducing VMware vRealize Automation. In doing so, it laid a solid foundation, resulting in a self-service hybrid-cloud environment.

By expanding on the basis of VMware Cloud on AWS and VMware Cloud Foundation with vRealize Cloud Management, GfK has given itself a secure infrastructure and reliable operations by efficiently operating processes, policies, people and tools in both private and public cloud environments.

One important step for GfK involved migrating from multiple cloud providers to just a single one. The team chose VMware.

“VMware is the market leader for on-premises virtualisation and hybrid-cloud solutions, so it was only logical to tackle the next project for the future together,” says Hesselink.

Migration to the VMware-based environment was integrated into existing hardware simply and smoothly in April 2020. Going forward, GfK’s new hybrid cloud model will establish a harmonised core system complete with VMware Cloud on AWS, VMware Cloud Foundation with vRealize Cloud Management and a volume rising from an initial 500 VMs to a total of 4,000 VMs. 

“We are modernising, protecting and scaling our applications with the world’s leading hybrid cloud solution: VMware Cloud on AWS, following VMware on Google Cloud Platform,” adds Hesselink.

The hybrid cloud-based infrastructure also empowers GfK to respond to new and future projects with astonishing agility: Resources can now be shifted quickly and easily from the private to the public cloud – without modifying the nature of interaction with the environment. 

The gfknewron project is a good example – the company’s latest AI-powered product is based exclusively on public cloud technology. The consistency guaranteed by VMware Cloud on AWS eases the burden on both regular staff and the IT team. Better still, since the teams are already familiar with the VMware environment, the learning curve for upskilling is short.

One very important factor for the GfK was that VMware Cloud on AWS constituted an investment in future-proof technology that will stay relevant.

“The new cloud-based infrastructure comprising VMware Cloud on AWS and VMware Cloud Foundation forges a successful link between on-premises and cloud-based solutions,” says Hesselink. “That in turn enables GfK to efficiently develop its own modern applications and solutions.

“In market research, everything is data-driven. So, we need the best technological basis to efficiently process large volumes of data and consistently distill them into logical insights that genuinely benefit the client. 

“We transform data and information into actionable knowledge that serves as a sustainable driver of business growth. VMware Cloud on AWS is an investment in a platform that helps us be well prepared for whatever the future may hold.”

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