In-Memory Computing Planet® Blogs and Events

Even though MemSQL is a distributed system, you can run a minimal version of MemSQL on your laptop in Docker. We tell you how in this blog post. The combination of free use of the software, and being able to run MemSQL on your laptop, can be extremely convenient for demos, software testing, developer productivity, and general fooling around. In this post we’ll quickly build a single-instance MemSQL cluster running on Docker Desktop, on a laptop computer, for free. You’ll need a machine with at least 8GB RAM and four CPUs. This is ideal for quickly provisioning a system to …

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Mergeable replicated data types – part II Kaki et al., OOPLSA ’19 Last time out we saw how Mergeable Replicated Data Types (MRDTs) use a bijection between the natural domain of a data type and relational sets to define merge semantics between two concurrently modified versions given their lowest common ancestor (LCA). Today we’re picking … Continue reading Mergeable replicated data types – Part II

“We find ourselves in a new era of patient-driven innovation, which drives far better design and fosters collaboration between stakeholders.” — Amy Tenderich. I have interviewed Amy Tenderich, journalist / blogger, well known patient advocate, and founder and editor of DiabetesMine. RVZ Q1. You are one of the leading advocates for the diabetic community. In 2007, you wrote an open letter to […]

Mergeable replicated data types Kaki et al., OOPSLA’19 This paper was published at OOPSLA, but perhaps it’s amongst the distributed systems community that I expect there to be the greatest interest. Mergeable Replicated Data Types (MRDTs) are in the same spirit as CRDTs but with the very interesting property that they compose. Furthermore, a principled … Continue reading Mergeable replicated data types – Part I

ScaleOut Software announces a preview of its forthcoming cloud service for streaming analytics using the real-time digital twin model. It’s called the ScaleOut DigitalTwin Streaming Service™, and it’s now available for a limited number of users to explore and provide feedback. Sign up to use the service here. A major challenge for stream-processing applications that […]

The post ScaleOut Software Unveils New Cloud Service for Streaming Analytics appeared first on ScaleOut Software.

ScaleOut Software announces a preview of its forthcoming cloud service for streaming analytics using the real-time digital twin model. It’s called the ScaleOut DigitalTwin Streaming Service™, and it’s now available for a limited number of users to explore and provide feedback. Sign up to use the service here. A major challenge for stream-processing applications that […]

The post ScaleOut Software Unveils New Cloud Service for Streaming Analytics appeared first on ScaleOut Software.

These days, you can get a 65” 4K Ultra High Definition, High Dynamic Range smart TV at your local superstore for under $1000 and stream vast libraries of premium movies and TV shows to it for under $20/month. Video compression technologies like H.264 and H.265 have been key to realizing this extraordinary result. Since the ...continue reading For Droid Eyes Only

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PlanAlyzer: assessing threats to the validity of online experiments Tosch et al., OOPSLA’19 It’s easy to make experimental design mistakes that invalidate your online controlled experiments. At an organisation like Facebook (who kindly supplied the corpus of experiments used in this study), the state of art is to have a pool of experts carefully review … Continue reading PlanAlyzer: assessing threats to the validity of online experiments

Communication service providers (CommSPs) are already saving money and generating revenue from network transformation investments. There is an expectation these benefits will continue to increase as NFV functions scale across the various elements of the infrastructure—enterprise, radio access network, wireless core, cable and cloud. New 5G and edge computing use cases promise to deliver new ...continue reading Improving Network Automation and Security with Artificial Intelligence

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Video content will become richer and more data-intensive as it evolves from HD to 4K to 360° and even 8K. Companies are moving these visual workloads to the cloud and edge in order to keep up with capacity, growth and service demands. With the emergence of edge computing and cloudified, 5G networks, organizations have an ...continue reading Bringing Media Analytics into View

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Training an effective deep neural network is one thing, but deploying it in a way that keeps up with customer demand and is both performant and cost-efficient is hard. We’ve combined a heavily optimized software stack with deep learning-enabled hardware to fix that. There’s an exciting change in the mix of problems that machine learning ...continue reading Growing Pains: Scaling Deep Learning Inference

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Local-first software: you own your data, in spite of the cloud Kleppmann et al., Onward! ’19 Watch out! If you start reading this paper you could be lost for hours following all the interesting links and ideas, and end up even more dissatisfied than you already are with the state of software today. You might … Continue reading Local-first software: you own your data, in spite of the cloud

Looking back over the last 20 to 30 years of channel evolution, one of the things that amazes me is IT distributors’ ability to quickly respond to market trends and boldly step into totally new roles. How did this happen? In the early 2000s, distribution companies drove growth by buying their direct competitors. Then they ...continue reading Distribution 2020: New Roles, Blurred Lines!

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There’s a lot of talk about shifts in the ecosystem that are creating new partnership opportunities to deliver the innovative solutions our customers need. We’re witnessing an increasing number of collaborative projects that bring together unexpected partnerships to pull in the expertise needed to innovate. There’s no doubt that to be successful in today’s world, ...continue reading Convergence Coming Soon to a Project Near You

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