5 of the Best Free Linux Caching Systems
In 1897 Vilfredo Pareto, an Italian economist,
identified that 80% of the wealth was owned by 20% of the population in
country. The observation that wealth was distributed in that way led Dr
Juran, a management consultant, to (mis)label this phenomenon as the
Pareto principle (commonly known as the 80-20 rule). Dr Juran applied
this principle outside the field of economics.
When applied to commerce, the Pareto principle means that
about 20% of your efforts generates 80% of the results. Or think of it
in terms of a small number of clients making up the majority of your
business, or a small number of blog articles generating the most
traffic. Learning to focus on that 20% is the key to effective time
management. This phenomenon equally applies to computer system caching.
In computing terms, a cache is a collection of temporary data
that will be required to be accessed in the future, and can be
retrieved extremely quickly. The data stored within a cache
may be a simple reproduction of information held elsewhere or it may
have been the results of a previous computation. Where data stored in
the cache is
requested, this is known as a cache hit. The advantage of a
cache hit is that the request will be served considerably faster. The
flipside, a cache miss, occurs when information has to be recalculated
or retrieved from its
original location, consuming more system resources and slower
access. If 20% of data is accessed 80% of the time, and a system can be
utilised which reduces the cost and time of obtaining that 20%,
system performance will dramatically improve. Fine tuning a system to
improve the cache hit rate speeds up overall system performance.
Caches are employed in a variety of different ways. For
we see caches being used to store items in memory, to disk, and to a
database. Caches are also frequently used to service DNS requests, as
well as distributed caching where caches are used to to spread across
different networked hosts.
We have already highlighted notable open source web caches in
our article entitled 6
of the Best Free Linux Web Caches. The purpose of this
article is to identify open source software which caches data
in other situations.
To provide an insight into the open source software that is
available, we have compiled a list of 5 of our favorite caching
systems. Hopefully, there will be something of interest here
for anyone who deploys applications that require predictable,
random access to data with high sustained throughput.
So, let's explore the 5 caching systems at hand.
For each application we have compiled its own portal page, a full
description with an in-depth analysis of its features, together with
links to relevant resources and reviews.
||High-performance distributed memory object
key-value database with network interface
||Distributed key-value database management system
based pure Java in-process cache
||Distributed caching system written in Java
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Last Updated Monday, May 26 2014 @ 11:33 AM EDT