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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45
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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40
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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. For example, the most fundamental abstraction trade-off has always been latency versus throughput. General Purpose GPU programming. From CPU to GPU.

AWS 136
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

Testing is more complex and labor intensive for serverless architectures, with more scenarios to address and different types of dependencies (e.g., latency, startup, mocking, etc.) “Integration/testing is harder” ranked as the third biggest worry, noted by 30% of respondents. changing the integration landscape—at least for now.

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Re-Architecting the Video Gatekeeper

The Netflix TechBlog

This data-propagation latency was unacceptable?—?we The Tangible Result With the data propagation latency issue solved, we were able to re-implement the Gatekeeper system to eliminate all I/O boundaries. Traditional Hollow usage The problem with this total-source-of-truth iteration model is that it can take a long time.

Cache 183
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5 tips for architecting fast data applications

O'Reilly Software

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. The low-level streaming implementations of the mentioned engines require specialized knowledge in order to program new applications. Determine requirements first.