A Latvian and english Linux tiny operating system. used by golf & dvd lovers
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Enterprise systems started many years ago with a server farm in a data center, Some are dialup modem bbs system such as AOL and MSN. Banks are enterprise systems with millions of customers in secured transactions connected on the internet through telephone company trunklines.
Then there are large businesses keeping books of their accounting system in data centers. They are connected by Ethernet switching hubs. These are the data centers being extended on the internet through PBS systems to telephone trunklines. Many SAAS data centers are trying to attract customers of private cloud to public cloud data centers. It costs less, mostly $6-10/mo per user and their software does schedules for users to do tasks and keep records. Its similar to the old Novel Wordperfect servers, then later internet email servers; it does not do the whole job for each user.
Today, data centers are built by telephone companies or cableTV plants, where users are their locked in customers. It has a built in market with substantial assets to build an economy for a city or a country. Economy or money changes hands will be controlled by application software in each data center and accross the world with many data centers. Today data centers are measured by total assets in their banks transferring back and forth.The application software is like yellow pages to identify vendors of products and services, but also may have classified ads, or catalogs for users to order delivery. Internet business is still small compared to stores(distribution centers), where customer can have look and feel which is more pleasant experience before making decisions. Try it then buy it.
Obviously, enterprise system can not be satisfied by SAAS apps alone.
All data centers must have customers to be contacted for business, which made enterprise systems a market of virtual stores or real service centers for the next scheduled service.
In America, the data centers are consolidating to save money. The original private cloud concept and software applications are not reaching the potential customers. So, it remain a book keeping data center. Now Microsoft is adding email to work with public cloud. Have you ever found a search engine that can target an email address listing? You can search phonebooks perhaps and target telemarketing. The reality of google click money is zilch on the topline revenue colimn.
The data centers of America will have to change a lot more from Cisco switching hubs to WiFi telephone company trunk lines to do internet telemarketing for revenue increase. Or accommodate many customers to visit efficient online store for USPS delivery service for products.
Legacy data centers did not understand cloud computing, because private data centers did not have potential customers. Database only have past customers in their book keeping system.
Cloud computing is a data center that has paid customers that does the work themselves to create an economy. The concept of potential customers do all the work is the built up of productivity in business to cut back middle management to handle transactions. Small, medium and large business all can have a website for potential customers to write their own transactions to do business and get delivery of products or services.
Productivity in business today is how taxes support democratic countries. Currently businesses are paying 41% of their income from revenue. Revenue is the economy, US is $13.1 trillion. Income is 5 % of business revenue, but greatly improved by productivity using information technology. Then there are personal income to support the rest of taxation needed to run government. Today because of productivity personal income has savings deposited in banks.
In communistic countries, there are no deficit spending. the government owns everything, prints money to hire workers, then pay them wages. the wages are returned to the government when goods and services from the government id sold to the workers. Money is just circulated each week.
Communistic countries are in a way, the old one factory town concept in democratic countries. Workers pay back to the factory when they buy goods and rent houses to live in from factory owned stores and dormitories.
Enterprise data system in a data center; the hardware and software keep books on the economy of each user in the system. Hopefully, the system runs well balances income and spending.
In the beginning of computer design, we have to calculate numbers. Today, we just search a math table to get the results on running an equation. So, the computer compares, and transfers the data. The cpu can be just Risc, sends data fast. ARM has only 30,000 transistors per core. Cisc 8 bit cpu has 65000 transistors, plus 65000 transistors for FPU. So, ARM cpu is great for enterprise system monitors. Cheap too, and still can download all the webpages of data for any business transactions(hdmi protocols only).
When we look at the tablet design for daily life, it can handle all the work loads in any enterprise system for individuals' information technology. Using nand flash memory to replace drams and disk operating system is cost effective.
While Intel and Microsoft are making webpages larger, They are others making webpage 800x400 to fit the screens of tablets or netbooks. If you have seen BofA mobile online banking, there will be plenty of advertizing space with luxurious 800x400 pixels. Elegance came with thinner line width of color borders populated with reduced pixel thumbnails(Twitter Drupal).
Data center are just workgroup network operating systems.
We have to change network operating system from desktop pages to browser webpages, by packet converter automatically. Change an ethernet file to a wifi packet.
Packet converter servers are cheap and software very short.
With virtual wifi network coming onstream to access data centers and webpages, new ftp download software has resend feature. ftp can be combined with download manager and download accelerator. Check AEGIS protocol and tools which offer ftp utility?
A simple drupal on lamp system qualifies to be enterprise system. After you setup the first server, your ext3/ext4 file system hdd may get used up. Apache http server always had a memory size restriction to prevent memory overflow. But lack a packet converter to redirect to a new drupal server to store new data; so that switch over is seamless.
Its never a good ideal to backup to a larger hdd. Its easier to setup a second server, and redirect any write to hdd on the second server. This is how you built up a data center. Many servers got backup, but many servers are lock not to be written on their hdd again. Packet converters are used to redirect to the new servers with plenty of hdd space. And you may even have more disk space on new servers ready to receive data for storage, upon changes on your packet converter.
On this Unofficial Austrumi website run on punbb hosting data center, each time you post, the new data is redirected to a server currently in use. Other servers merely download webpage data as a link(distributed data center which can be centralized or regional).
Enterprise systems are now trying out sharing protocols from desktop workgroup workspace to public webpages. The difference in workspace on desktop and workspace on browser is merely the content of a etherbet packet or a posix packet frame relay.
This content differences can merge into one by packet converter servers. Running desktop content into webpage content by converted packets of different formats.
This technique is the simplest and quickest for desktop programmers to put into new webpage format to give it the continuity of workflow whether on desktop apps or browser reading webpages from desktop apps converted from a server.
There is no private or public clouds. It is only the continuity of content on desktop apps(ethernet packets) or webpages(in posix packet frame relays) by packet converters.
Data centers are still basically workgroup network system. Its not even private clouds, and extremely expensive to wire to any one user.
To convert to public cloud, you have security issues,and webpages instead of workgroup work space pages from apps. In Unix operating system, the packet converter is very easy to design into relay rack cabinets. Touch screens are also available from car radio DVD and TV hdmi screens for pull out application.
Once these new packet converters are offered, data centers will be running both private cloud and public cloud converting on the fly of any work space data presentation.
The old data centers are madeof workgroup operating system, then use switching hubs to distribute ethernet packets. Gigabit is quite fast, but the layers of switching hubs has propagation delays(atm wait state).
Today for cloud computing, switching hubs are replaced by ondemand servers, which acted as a proxy server that can filter some functionality and provide some security as well.
Ondemand server can be flexible to even be used as a task management server. Which means that it can also be used for wifi traffic control.
Ondemand server is the single identity requirement of the future. It is associated with ip address, password and encryption. That webpage with a million links will be gone. That webpage with missing DNS server will be gone.
The ondemand server for each user is the front end of the data center. this technology had been worked over the years by cableTV plants serving each subscriber to deliver an exclusive service for a singe identity.
Once ondemand servers are installed in data centers, your data is secure. Identity theft is difficult because ondemand server uses exclusive packet format that is encrypted instead of packet content data encryption.
Data centers will never be the same again.
W2k sp4(129 mB) uses about 200 mB of drams can work fine with 320 mB(138 mB free).
Reinstall cd is 378 mB of codes to reinstall W2k sp1, which has no wireless network codes. You need sp4 to connect wifi network.
What most people are not aware is the fact that you have to know which operating system that you own or should own that still can be used to do cloud computing. They are obsoleting fast without warning. Your investment on information technology may be lost overnight without assurance of data transfer.
Scandisk is still being used in W2k. But it is restoring illegal power shut down, by using scandisk to bring cabs encrypted software filling missing unencrypted codes in hdd to restore operating system.
Enterprise systems today handles big data using many servers. Microsoft has its dotnet strategy which transfers data locally through its cloud affiliates. Linux has problems with ext4 file system corruption due to writeback activities, except using Drupal. ARM cpus also do writebacks, and ext4 file system has to be locally defragged.
Future big data storage maybe using multicore ARM cpu and SSD. Basically saving power consumption and speed up data transfer. Big data can also afford rich experience as demonstrated by the new iPad.
Linux for ARM is now i386 and GNU GCCv3.4 or the latest v4.5/4.6 disabled several features for x86 such as fpu, 26 bit, underscore, etc. Will Centos be recompiled by GCC for ARM is the big question of using Linux for server operating systems.
So far ARM powered SSD servers are not yet replacing Intel power hungry servers. It may take a few more years for APPLE or some one designing ARM cpu to make the major ondemand server change.
Linux future in enterprise systems?
Linux operating system is ext4 and disk operating system. Ext4 has problems with Fat fragmentations.
Desktop of kde and gnome are not enterprise system ready, which most likely has to be specially written for user purpose.
Linux browsers are hard to update.
IBM is going to spend $1 billion to work on supporting power systems. Trying to use Linux software to bill customers. Linux was never ready for real time enterprise use.
It took some time for firefox to realize android browser operating system failed not doing webpage efficiency, buy trying email only.
Technology of new enterprise system is more than just storing information, but do webpage summary of many links from the data center.
Its no longer ethernet connections wired. Its wifi systems near and remote.
This means wifi servers on top of ethernet systems, to save money expand transmission capability.
The enterprise system now has to buy a cable plant from ARRS to do wifi near and remote for each data center. Its the cheapest and quickest way to support bigdata webpages.
IBM, oracle, microsoft are all suffering from old enterprise architecture of wired data centers. When more information is available on the internet. Cloud computing is done now by bigdata webpage with wifi hardware for fast download from internet.
So, the first thing is to add wifi on server farm. Then, use ondemand link download in software.
It will take a year for these enterprise outfits to move into cloud computing.
If you wake up one day and suddenly found out your TV set-top box is your data center at home for all your paperless data devices, don't be shocked.
The cableTV and telcos are all changing into data centers. To download all the important personal data.
Its coming not too soon but enough to know what future economy is built on.
If you want to make some money on the stock market, invest in ARRS( nasdaq $29/share), THEY ARE BUILDING DATA CENTERS.
Yahoo and MSN are both data centers, so is ebay and amazon.
Paperless society reads on phones.
To download on phones, special phone charges 60us cents for each download. Data centers sell downloads instead of paper printing.
It works for phone owners having no friends to call(entertainment).
It also saves all the newspapers from closing down.
Smart phones and WiFi tablets are the new big data computers. All data centers can download info needed.
If websites have their own apps then its efficient.
Austrumi Linux being desktop and browser is not efficient at all.
Big data transfer by mpeg4 does not need http:., only by edgeqam packet ip addresses(phone numbers).
Data centers can download data compressed info same as offline desktop except its cloud wifi transfer only. No browser,
Computer designs are changing from harddisk prml to nand flash prml data compression technology(8 bit).
Flip book is cloud offline.