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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 195
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Harmonizing Space, Time, and Semantics: Navigating the Complexity of Geo-Distributed IoT Databases

DZone

In the era of the Internet of Things ( IoT) , the continuous influx of spatial and temporal data from interconnected devices has given rise to a vast and intricate landscape, demanding a sophisticated approach to database management.

IoT 278
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Automation Testing: an Essential Strategy for IoT Application Testing

DZone

According to Forbes , " the global IoT market can grow from $157B in 2016 to $457B by 2020, attaining a Compound Annual Growth Rate (CAGR) of 28.5 Adoption of IoT (Internet of Things) is increasing across various industries, in government sectors, and in consumers’ day-to-day life.

IoT 220
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Act locally, connect globally with IoT and edge computing

All Things Distributed

But they usually have little to no internet connection, making the challenge of exploring environments inhospitable for humans seem even more impossible. 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 126
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Energy Efficient Distributed Systems

DZone

As distributed systems play a critical role in various domains such as cloud computing , Internet of Things ( IoT ), and data centers, optimizing energy consumption has significant implications for reducing operational costs and mitigating the environmental impact.

Energy 169
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AnyLog: a grand unification of the Internet of things

The Morning Paper

AnyLog: a grand unification of the Internet of Things , Abadi et al., Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. CIDR’20. It just happens to be an initial use case that fits well with the AnyLog model.

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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible. The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge.

Azure 130