Reads as a bunch of gibberish.

On Mon, Apr 20, 2015 at 9:01 PM, evilwulfie <[email protected]> wrote:

>  wtf is this ?
>
>
> On 4/20/2015 8:01 PM, Wenwei Peng wrote:
>
> Title:       The core of the core of the big data solutions -- Map
> Author:      pengwenwei
> Email:
> Language:    c++
> Platform:    Windows, linux
> Technology:  Perfect hash algorithm
> Level:       Advanced
> Description: Map algorithm with high performance
> Section      MFC c++ map stl
> SubSection   c++ algorithm
> License:     (GPLv3)
>
>     Download demo project - 1070 Kb
>     Download source - 1070 Kb
>
> Introduction:
> For the c++ program, map is used everywhere.And bottleneck of program
> performance is often the performance of map.Especially in the case of large
> data,and the business association closely and unable to realize the data
> distribution and parallel processing condition.So the performance of map
> becomes the key technology.
>
> In the work experience with telecommunications industry and the
> information security industry, I was dealing with the big bottom
> data,especially the most complex information security industry data,all
> can’t do without map.
>
> For example, IP table, MAC table, telephone number list, domain name
> resolution table, ID number table query, the Trojan horse virus
> characteristic code of cloud killing etc..
>
> The map of STL library using binary chop, its has the worst
> performance.Google Hash map has the optimal performance and memory at
> present, but it has repeated collision probability.Now the big data rarely
> use a collision probability map,especially relating to fees, can’t be wrong.
>
> Now I put my algorithms out here,there are three kinds of map,after the
> build is Hash map.We can test the comparison,my algorithm has the zero
> probability of collision,but its performance is also better than the hash
> algorithm, even its ordinary performance has no much difference with Google.
>
> My algorithm is perfect hash algorithm,its key index and the principle of
> compression algorithm is out of the ordinary,the most important is a
> completely different structure,so the key index compression  is
> fundamentally different.The most direct benefit for program is that for the
> original map need ten servers for solutions but now I only need one server.
> Declare: the code can not be used for commercial purposes, if for
> commercial applications,you can contact me with QQ 75293192.
> Download:
> https://sourceforge.net/projects/pwwhashmap/files
>
> Applications:
> First,modern warfare can’t be without the mass of information query, if
> the query of enemy target information slows down a second, it could lead to
> the delaying fighter, leading to failure of the entire war. Information
> retrieval is inseparable from the map, if military products use pwwhashMap
> instead of the traditional map,you must be the winner.
>
> Scond,the performance of the router determines the surfing speed, just
> replace open source router code map for pwwHashMap, its speed can increase
> ten times.
> There are many tables to query and set in the router DHCP ptotocol,such as
> IP,Mac ,and all these are completed by map.But until now,all map are  using
> STL liabrary,its performance is very low,and using the Hash map has error
> probability,so it can only use multi router packet dispersion treatment.If
> using pwwHashMap, you can save at least ten sets of equipment.
>
> Third,Hadoop is recognized as the big data solutions at present,and its
> most fundamental thing is super heavy use of the map,instead of SQL and
> table.Hadoop assumes the huge amounts of data so that the data is
> completely unable to move, people must carry on the data analysis in the
> local.But as long as the open source Hadoop code of the map changes into
> pwwHashMap, the performance will increase hundredfold without any problems.
>
>
> Background to this article that may be useful such as an introduction to
> the basic ideas presented:
> http://blog.csdn.net/chixinmuzi/article/details/1727195
>
>
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