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Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

This proximity reduces latency and enables real-time decision-making. This shift will enable more autonomous and dynamic systems, reducing human intervention and enhancing efficiency. IIoT systems can use edge devices to ensure that sensitive operational data remains secure on-premises, thereby protecting critical infrastructure.

IoT 52
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Balancing Low Latency, High Availability, and Cloud Choice

VoltDB

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. Low usage or over-engineered legacy systems Until the arrival of cloud hosting, nobody knew how to size anything properly, or they did know but never got a chance to. Why are they refusing?

Latency 52
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Most Common RabbitMQ Use Cases

Scalegrid

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. This non-blocking nature improves the system’s responsiveness and efficiency.

Ecommerce 130
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Latency vs. Throughput: Navigating the Digital Highway

VoltDB

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.

Latency 52
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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What Is RabbitMQ: Key Features and Uses

Scalegrid

This makes it suitable for various industries and applications, including IoT, finance, and e-commerce. Additionally, the low coupling between sender and receiver applications allows for greater flexibility and scalability in the system. Key Takeaways RabbitMQ is a versatile message broker that supports AMQP, MQTT, and other protocols.

IoT 130