The challenge that is being faced is to create the platforms to support such volumes of data as the main factor in the development of infrastructure for smart cities in Latin America.
By Gustavo Perez
Santiago de Chile.- The term “new normal” has often been thrown around in post-pandemic settings, but what does it mean when we talk about infrastructure? We could summarize it in several elements: interactive devices and actions, the necessary interoperability, resilient connectivity and power, and a seamless customer experience in a secure environment.
As digitization increases, vast amounts of data will be collected, analyzed and stored. According to Forbes, the world produces more than 2.5 trillion bytes of data every day. The challenge we face is creating the platforms to support such volumes of data. In the case of smart cities, these platforms will help manage the collection and processing of data from multiple sources to provide information on topics of interest such as weather conditions, events, parking and transportation, both for analysis and analysis. for decision making.
The implementation challenges for these platforms in Latin America are considerable. It is the second most urbanized region on the planet, which could reach an urbanization of up to 90% by 2050. According to the Inter-American Development Bank (IDB), the urbanization process in Latin America has accelerated and is occurring disorderly manner, which poses greater challenges in terms of mobility, urban planning and public services.
Despite the clutter, our cities have started to move towards smart initiatives, focused on public transportation, smart buildings, communications networks, Wi-Fi, and mobility. Some cities such as Santiago, Mexico City, Bogotá, Buenos Aires, Curitiba, Medellín and Montevideo already have projects of this nature.
For these initiatives to be successful, both citizens and governments need to trust the infrastructure behind them. There are two key factors in fostering this trust: reliability and latency. 5G and edge computing will be important contributors to achieving the low latency needed to connect various dedicated networks of mobile devices, sensors, automobiles, appliances, and data centers. A mix of physical facilities and the cloud will create the right ecosystem for smart infrastructure.
The right edge infrastructure is one of the first steps in reaching the level of computing power and low latency that smart cities demand.
In order to make the right infrastructure decisions, Vertiv has developed a framework with specific edge infrastructure models to help organizations make practical decisions:
Device Edge: Compute is on the end device. It is embedded in the device, for example, an intelligent video camera with AI capabilities, or it is a “companion edge”, for example, a computer connected to an automated guided vehicle. Microedge – A small, stand-alone solution that ranges in size (from one or two servers to four racks). It is usually installed on a company’s own site. Distributed Edge Data Centers: A small data center of less than 20 racks located at enterprise sites, telecommunications facilities, or regional sites. Regional Edge Data Center: A data center facility located outside the network hubs of the Core data centers. Shares many of the characteristics of hyperscale data centers.
Smart cities have the potential to harness technology to benefit the way we work, travel, connect and do business, but we need to choose the right edge infrastructure and make important decisions about how best to use our smart infrastructure and where to invest. .
Stakeholders working on the creation of a smart city environment in Latin America, such as governments, telecommunications and companies, do well to ask themselves: what is the right edge infrastructure model for my needs and how can I create one? infrastructure that supports the required latency and reliability?
The answer to this question will mark the way to the future.
Gustavo Pérez is Sales Director for Named Accounts at Vertiv Latin America.