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Dutch Enterprises and The Cloud

All Things Distributed

In addition to its goal of reducing energy costs, Shell needed to be more agile in deploying IT services and planning for user demand. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. Royal Dutch Shell – is one of the world’s largest companies.

Cloud 129
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product. Rich Pettit is one of the best programmers I ever met.

Tuning 52
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Progress Delayed Is Progress Denied

Alex Russell

Real-time network protocols for enabling videoconferencing, desktop sharing, and game streaming applications. Modern, asynchronous network APIs that dramatically improve performance in some situations. Provides support for "unread counts", e.g. for email and chat programs. is access to hardware devices.

Media 145
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Platform Adjacency Theory

Alex Russell

3] Oh, and it should be imperatively programmed with Lisp-in-C's-clothing. Recall that browsers arose atop platforms that universally provided a host of services by the late 90's: system fonts (to support layout programs, including WYSIWYG editing). multi-tasking & concurrent programming. high-color image raster.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

A bigger problem with query is that when it matches many results, a large amount of data may need to be returned over the network to the requesting client for processing, as illustrated below. This can quickly saturate the network (and bog down the client). We have seen this computing model’s utility in countless applications.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

A bigger problem with query is that when it matches many results, a large amount of data may need to be returned over the network to the requesting client for processing, as illustrated below. This can quickly saturate the network (and bog down the client). We have seen this computing model’s utility in countless applications.

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The Winds of Architecture Changes at the USENIX ATC 2019

ACM Sigarch

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. Intel Quick Assist Technology (QAT) was the focus of the QZFS paper which used this new hardware device to speed up file system compression.