Close to the Edge: No Data Center Needed Computing

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Written by Douglas Eadline

Published: 22 May 2019

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Introduction

Welcome to a new series on ClusterMonkey! While the news and articles have been a bit sparse lately, it is not because the head monkey has been idle. Indeed, there is so much to write about and so little time. Another issue we ran into was how to present all the recent projects that may seem rather disparate with an easy-to-understand overriding theme. Welcome to edge computing.

Defining edge computing has become tricky because it now has a marketing buzz associated with it. Thus, like many over-hyped technology topics, it may take on several forms and have some core aspects that allow it to be treated as a "thing."

In this series, the definition of edge is going to be as specific as possible. In general, edge computing is that which does not take place in the data center or the cloud (hint: the cloud is a data center). Such a definition is too broad, however, since computing is everywhere (from cell phones to actual desktop workstations). A more precise definition of edge computing can be written as:

Data center level computing that happens outside of the physical data center or cloud.

That definition seems to eliminate many smaller forms of computing but still is a little gray in terms of "data center level computing." This category of computing usually operates 24/7 and provides a significantly higher level of performance and storage than mass-marketed personal systems.

Big Data In Little Spaces: Hadoop And Spark At The Edge

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Written by Administrator

Published: 25 April 2019

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Ever wonder what Edge computing is all about? Data happens and information takes work. Estimates are that by 2020, 1.7 megabytes of new data will be created every second for every person in the world. That is a lot of raw data.

Two questions come to mind. What are we going to do with it and where we going to keep it. Big Data is often described by the three Vs – Volume, Velocity, and Variability – and note not all three need apply. What is missing is the letter “U” which stands for Usability. A Data Scientist will first ask, how much of my data is usable? Data usability can take several forms and include things like quality (is it noisy, incomplete, accurate) and pertinence (is there any extraneous information that will not make a difference to my analysis). There is also the issue of timeliness. Is there a “use by” date for the analysis or might the data be needed in the future for some as of yet unknown reason. The usability component is hugely important and often determines the size of any scalable analytics solution. Usable data is not the same as raw data.

Get the full article at The Next Platform. You may recognize the author.

Massive Storage Systems and Technology Conference

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Written by Number Six

Published: 26 April 2019

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Massive Storage Systems and Technology Conference (MSST) Announces Distinguished Keynoters and 5-Day Agenda of Notable Speakers At-scale storage in the age of AI and next gen storage to dominate 35th annual conference agenda.

Santa Clara, California, April 8, 2019 – The Massive Storage Systems and Technology Conference (MSST) today announced keynote speakers Margo Seltzer and Mark Kryder, along with a five-day agenda of invited and peer research talks and tutorials, May 20-24 in Santa Clara, California. Now on its 35th conference, MSST is the premiere large-scale storage conference that focuses on current challenges and future trends in distributed storage system technologies, drawing a diverse group of system designers and implementers, storage architects, researchers, and vendors from both industry and academia.

Breathe Easy: The Red Hat Acquisition by IBM Was Always a Goal

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Written by Douglas Eadline

Published: 29 October 2018

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Over the weekend it was announced IBM was buying Red Hat. A lot of gasps in the community. Personally, I'm not surprised and some other strategic moves may follow. My guess is Canonical's phone is ringing today. I sometimes think these acquisitions are forty percent about the technology/people and sixty percent about keeping it out of the hands of competitors. In this case, I believe it is about renting remote servers, sorry, cloud computing.