#edge computing

[fallen1vamp]

the vibe I bring to the uni functions

[carlphoto2]

[sivaniverse]

So I was trying my hand at making simple explanation videos.

I made my first one today. It is about edge computing explained in simple terms in a minute.

Do check out this video if you have a minute.

And don't forget to let me know what you think.

[mohammed44c]

Edge Computing, Real-Time Data Processing, and Intelligent Automation

In the dynamic landscape of the power industry, staying ahead of the curve requires a fusion of cutting-edge technologies and strategic operations. With over four years of experience in the field, our journey has been marked by innovation, efficiency, and resilience. In this article, we explore how the convergence of edge computing, real-time data processing, predictive fault diagnosis, and intelligent automation is revolutionizing the energy sector.

Edge Computing: A Powerhouse at the Edge

Edge computing is the bedrock upon which modern utility IT operations are built. By processing data closer to the source, we've reduced latency and increased responsiveness. This real-time capability has enabled us to make critical decisions swiftly, optimizing grid operations and minimizing downtime. The result? A more reliable and efficient energy distribution system.

Real-Time Data Processing: Harnessing the Flow

The ability to handle vast volumes of real-time data has unlocked new possibilities for the power industry. We've implemented advanced data analytics to monitor and control grid assets proactively. Predictive fault diagnosis and anomaly detection algorithms have become our allies in preventing potential failures, thus averting costly disruptions.

Predictive Fault Diagnosis: Proactive Maintenance

Predictive fault diagnosis is a game-changer in the energy industry. By leveraging historical data and machine learning models, we've gained the capability to predict equipment failures before they occur. This predictive maintenance approach has not only extended the lifespan of critical assets but has also significantly reduced operational costs.

Robotic Process Automation (RPA): Streamlining Operations

RPA has automated routine tasks, freeing up human resources for more complex problem-solving. In the power sector, this has led to improved efficiency in billing, customer service, and administrative functions. It's allowed us to allocate resources strategically and ensure a seamless experience for customers.

Intelligent Automation (IA): Powering the Future

Intelligent Automation (IA) goes beyond RPA, integrating AI and machine learning to make autonomous decisions. IA systems continuously learn from data, optimizing grid operations in real-time. It's a crucial component in our journey toward a smart grid, where energy generation, distribution, and consumption are finely tuned to meet demand efficiently.

In conclusion, the synergy of edge computing, real-time data processing, predictive fault diagnosis, RPA, and IA has transformed the power industry. We are no longer just energy providers; we are orchestrators of a reliable, efficient, and sustainable energy ecosystem. As we look to the future, our commitment to innovation remains unwavering, ensuring that the lights stay on and the power flows seamlessly for generations to come.

[horrorstories654]

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[itrunsdoom]

An edge computing service? Yeah, it runs Doom.

More from the “Just for Fun” files: An engineer at Fastly, an Edge Computing service, documents crowbarring Doom into Fastly’s Compute@Edge service, which, it turns out, was very unsuited to such a thing. 

In order to get the common code running on Compute@Edge, I had to refactor the traditional game loop that DOOM employed. A typical game will initialize and then run in an endless loop, doing an input->simulation->output tick over and over at the desired frequency, taking inputs from the local input devices such as a keyboard, mouse, or controller, and outputting video and audio. On Compute@Edge, however, a process like this will eventually be evicted by the platform, since the intent is for the instance to start up, do some work, and then return to the caller. I thus removed the loop entirely and changed the instance to only run a single frame of the game.

Workarounds ensure!

Thanks Linguica for bringing this to my attention!

[clarifaiinc]

What is edge computing | Clarifai

Edge computing is the way of taking the data close to the user to reduce latency. edge computing is the concept of using mobile devices or edge devices closer to the destination in which the urgent data needs to get to, for example, remote locations.

[windenergymarket]

Strategic Network Modernization: How the U.S. Military Embedded System Market Secures Tactical C4ISR Capabilities

The U.S. Military Embedded System Market recorded a sale of USD 600 million in 2024 and is estimated to reach a value of USD 1,746 million by 2033 with a CAGR of 12.2% during the forecast period. This steady upward growth trajectory highlights a major engineering shift in how modern military command networks manage localized data surges during complex multi-domain operations. Traditional communications infrastructure relied on sending raw battlefield data streams back to centralized regional headquarters, creating severe bandwidth bottlenecks and dangerous signal transmission delays. By deploying ruggedized, high-performance computing platforms directly into armored vehicles and mobile command posts, field units can filter and analyze intelligence data locally. This advanced data processing capability ensures continuous tactical communication even when primary network connections are actively jammed by adversaries.

A major focus of this technological evolution involves using advanced electronic warfare and software-defined radio architectures to achieve complete dominance over local radio frequencies. Modern battlefields are heavily congested with competing signals, requiring communication systems to constantly adapt their frequencies to prevent interference and interception. Embedded computing modules process complex signal processing algorithms at extreme speeds, allowing military radios to shift frequencies thousands of times per second seamlessly. This fluid signal agility prevents enemy monitoring units from locating tactical command posts based on their radio emissions, protecting critical field assets from targeted strikes. The integration of high-speed digital signal processors into tactical radios represents a massive leap forward for front-line network security.

Furthermore, the rapid expansion of autonomous unmanned surface vessels and robotic ground vehicles is creating unprecedented demand for resilient edge-computing hardware. Historically, these remote robotic platforms required continuous high-bandwidth satellite connections to transmit sensor data back to human operators, making them highly vulnerable to remote connection dropouts. High-capacity embedded computing blocks provide these robotic platforms with localized artificial intelligence capabilities, allowing them to navigate difficult terrain and identify obstacles independently. These rugged processing blocks are sealed inside heavy, waterproof enclosures built to withstand intense physical vibrations, extreme temperatures, and saltwater exposure. This structural reliability expands the operational footprint of robotic scout units while keeping their dependency on vulnerable satellite networks very low.

the U.S. Military Embedded System Market reveals rapid commercial penetration across expanding naval radar modernization programs and airborne surveillance fleets. Naval defense systems require immense processing power to track hundreds of potential aerial threats simultaneously, making traditional legacy computing systems highly obsolete. Special equipment developers are installing modular processing arrays that feature liquid-cooled cold plates and high-speed data buses to handle complex radar algorithms effortlessly. International defense partnerships prefer these standardized, high-performance designs because they maximize data sharing capabilities and simplify joint training exercises. This strategic alignment of hardware engineering and military logistics ensures steady long-term growth for naval defense operations.

Looking forward, the long-term expansion of this high-tech defense sector will rely on continuous improvements in radiation-hardened components and advanced multi-chip packaging technologies. Engineering teams are developing compact silicon-on-insulator processors that offer maximum resistance to high-energy cosmic rays and electromagnetic pulses encountered at high altitudes. These advanced systems are housed inside impact-resistant enclosures designed to protect sensitive electronics during high-speed rocket launches and aircraft carrier landings. High-speed optical data links are also being built into the circuit boards, ensuring these vital computing hubs transmit data at light speed without generating electromagnetic interference. The combination of advanced materials science, thermal engineering, and strict data security ensures embedded computing remains a cornerstone of modern defense strategy.