How Chicago Data Centers Are Embracing Edge Computing

Over recent years, edge computing has become increasingly widely regarded as an essential component of modern hybrid IT systems. With that in mind, here is a straightforward guide to how Chicago data centers are embracing edge computing.

What is edge computing?

Edge computing is the practice of storing and/or processing data near where it is generated and/or used. This is typically at the periphery (or “edge”) of a network rather than in a centralized data center.

Ways to implement edge computing

Here are the five main options for implementing edge computing.

On-premises edge devices

These are local computing resources deployed at the physical site where data is generated, such as IoT gateways, routers, or micro data centers. They process data close to the source, reducing latency and bandwidth usage.

Mobile and embedded edge

Devices such as smartphones, drones, or embedded systems process data directly on the device. This approach supports mobility and real-time data processing in scenarios like augmented reality or field diagnostics. It also improves privacy by limiting data transmission to external servers.

Edge servers or micro data centers

These are small-scale data centers placed near end users or IoT devices. They provide more computing power than embedded devices and are used in applications requiring substantial processing without sending data to the cloud. Examples include content delivery networks or smart retail systems.

Cloud edge (cloudlets)

Cloud providers offer edge computing infrastructure located close to users. These “cloudlets” allow for offloading processing from devices while still maintaining low latency. It’s ideal for scalable applications such as streaming services, online gaming, or AI inference workloads.

Fog computing

This model extends cloud capabilities to the edge by using a layered architecture. It distributes data processing across multiple nodes between the cloud and edge devices, supporting complex and distributed IoT systems like smart cities or utility grids.

How edge computing enhances data centers

Here is an overview of the five main ways that edge computing enhances data centers.

Reduced latency

By processing data closer to the source, edge computing reduces the time it takes for data to travel to and from the data center. This is crucial for real-time applications such as video analytics, industrial automation, and autonomous systems that require immediate responses.

Bandwidth optimization

Edge computing minimizes the need to transmit large volumes of raw data to centralized data centers. Instead, only relevant or summarized data is sent, reducing network congestion and lowering operational costs, especially for data-intensive services like IoT sensor networks or surveillance systems.

Improved reliability and resilience

With edge nodes capable of operating independently, systems can continue functioning even if the central data center experiences downtime or connectivity issues. This enhances overall system reliability and is vital for critical infrastructure and remote deployments.

Scalability and load distribution

Edge computing distributes processing tasks across multiple locations, easing the load on central data centers. This distributed model supports better scalability, allowing data centers to manage growing data demands without overprovisioning core resources.

Enhanced security and compliance

By processing and filtering sensitive data locally, edge computing minimizes or even eliminates the window of opportunity for data to be attacked in transit. It also keeps the data within the same legal jurisdiction. Using edge computing, therefore, enhances security and may help businesses meet compliance and legal obligations.

Why edge computing is essential for businesses in Chicago

Edge computing delivers numerous significant benefits to businesses in Chicago. Here are just five of the main ones.

Fast decision-making for fast-paced industries

Chicago is home to many industries that aim (or need) to make data-based decisions as quickly as possible. For example, traders in the Chicago Mercantile Exchange (CME) depend on ultra-low latency for high-frequency trading. Edge computing enables local data processing near trading floors, reducing delay and enhancing competitive performance.

Support for smart infrastructure

As Chicago expands its smart city initiatives—including intelligent traffic systems, connected utilities, and public safety monitoring—edge computing enables faster data processing and responsiveness, improving public services and creating opportunities for tech-focused businesses.

Resilience in harsh weather conditions

Although Chicago has a low risk of climate disasters, it can have very severe weather conditions. In particular, it is notorious for cold and snowy winters. Edge computing enhances operational continuity by ensuring local systems can operate even if central data centers or network connections are temporarily disrupted.

Cost savings

Many of Chicago’s businesses need to manage large volumes of data quickly. This includes financial services firms, manufacturing firms, and logistics firms (particularly the ones serving O’Hare International Airport). Edge computing reduces the need to send raw data to remote data centers. It therefore reduces the cost of data transmission.

Easier compliance

Edge computing allows sensitive data to be processed and filtered locally. This facilitates compliance with industry-level compliance programs as well as state and federal privacy laws.