System News
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Articles for the keywords: storage pools
02 Feb 2015 Data Lakes [40742]
Datamation, February 2nd, 2015

"We've had data storage pools for years. Now we have data lakes. Other than drowning in marketing hype, what does the term 'data lake' actually mean?

This is a loaded question with definitions of data lakes are all over the map. At its core, a data lake is a large storage repository that stores multiple data types in their native formats, and creates data constructs to present to analytical and business intelligence (BI) tools.

Data lakes are usually built on commodity hardware for massive scalability; for this reason they are often cloud-based, although there is no requirement that they be so other than a SaaS offering. To put it another way, a data lake stores multi-source data as analytics-ready objects. Typical data types include application data, files, sensor data, customer-generated data, or Internet-attached devices..."
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26 Jan 2015 Sequential Resilvering [40581]
By Roch Bourbonnais

Roch writes, "In the initial days of ZFS some pointed out that ZFS resilvering was metadata driven and was therefore super fast : after all we only had to resilver data that was in-use compared to traditional storage that has to resilver entire disk even if there is no actual data stored. And indeed on newly created pools ZFS was super fast for resilvering.

But of course storage pools rarely stay empty. So what happened when pools grew to store large quantities of data ? Well we basically had to resilver most blocks present on a failed disk. So the advantage of only resilvering what is actually present is not much of a advantage, in real life, for ZFS..."
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21 Jan 2015 (ZFS) Sequential Resilvering [40468]
By Roch Bourbonnais

Roch writes, "In the initial days of ZFS some pointed out that ZFS resilvering was metadata driven and was therefore super fast : after all we only had to resilver data that was in-use compared to traditional storage that has to resilver entire disk even if there is no actual data stored. And indeed on newly created pools ZFS was super fast for resilvering.

But of course storage pools rarely stay empty. So what happened when pools grew to store large quantities of data? Well we basically had to resilver most blocks present on a failed disk. So the advantage of only resilvering what is actually present is not much of a advantage, in real life, for ZFS..."
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22 Dec 2014 Evolution of All-Flash Array Architectures [40103]
Wikibon, December 20th, 2014

"In 2009, Wikibon projected that flash would be the lower cost alternative for active data. Figure 1 shows Wikibon's technology projection for pure capacity data. It shows that flash (the blue line) will become a lower cost media than disk (the red line) for almost all storage between 2015 and 2016, as scale-out storage technologies enable higher levels of data sharing, and lower storage costs.

The keys to achieving the lower costs of flash are:

  • Consumer demand for flash that will continue to drive down flash costs;
  • New scale-out flash array architectures that allow physical data to be shared across many applications without performance impacts;
  • New data center deployment philosophies that allow data to be shared across the enterprise rather than stove-piped in storage pools dedicated to particular types of applications.

This research discusses the key trends in flash and disk technologies in detail and the potential impact of new application design philosophies..."
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19 Aug 2013 Why is Software Defined Storage a Battle Worthy Weapon in the War Against Data Deluge? [32646]
Information Week, August 15th, 2013

"Software Defined Storage pools hardware storage resources and allows them to be programmatically defined in software, which allows storage services to be provisioned and consumed based on policies and deployed on a wide range of hardware..."
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