Remove Data Remove IoT Remove Latency
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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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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Both serve distinct purposes, from managing message queues to ingesting large data volumes.

Latency 147
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. This convergence promises not only to streamline operations but also to unlock new levels of automation, data insight, and responsiveness.

IoT 52
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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

Edge computing has transformed how businesses and industries process and manage data. By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Data interception during transit. Redundancy and inefficiency in data aggregation.

IoT 52
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Act locally, connect globally with IoT and edge computing

All Things Distributed

These places might have important data that could help us better understand earth and its history, as well as life on other planets. The answer to this question is actually on your phone, your smartwatch, and billions of other places on earth—it's the Internet of Things (IoT).

IoT 120
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Edge Data Platforms, Real-Time Services, and Modern Data Trends

DZone

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. This article will explore what edge data platforms and real-time services are, why they are important, and how they can be used.

IoT 130
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

When an application is triggered, it can cause latency as the application starts. Connecting IoT devices (for example, AWS IoT Device Management ). Data usage, request handling, and processing time accumulate. This creates latency when they need to restart. The platform builds the trigger to initiate the app.