Hosting adalah jasa layanan internet yang menyediakan sumber daya server-server untuk disewakan sehingga memungkinkan organisasi atau individu menempatkan informasi di internet berupa HTTP, FTP, EMAIL atau DNS
Server hosting terdiri dari gabungan server-server atau sebuah server yang terhubung dengan jaringan internet berkecepatan tinggi.
Ada beberapa jenis layanan hosting yaitu shared hosting, VPS atau Virtual Dedicated Server, dedicated server, colocation server.
Shared Hosting adalah menggunakan server hosting bersama sama dengan pengguna lain satu server dipergunakan oleh lebih dari satu nama domain.
VPS, Virtual Private Server, atau juga dikenal sebagai Virtual Dedicated Server merupakan proses virtualisasi dari lingkungan software sistem operasi yang dipergunakan oleh server. Karena lingkungan ini merupakan lingkungan virtual, hal tersebut memungkinkan untuk menginstall sistem operasi yang dapat berjalan diatas sistem operasi lain.
Dedicated Server adalah penggunaan server yang dikhususkan untuk aplikasi yang lebih besar dan tidak bisa dioperasikan dalam shared hosting atau virtual dedicated server. Dalam hal ini, penyediaan server ditanggung oleh perusahaan hosting yang biasanya bekerja sama dengan vendor.
Colocation Server adalah layanan penyewaan tempat untuk meletakkan server yang dipergunakan untuk hosting. Server disediakan oleh pelanggan yang biasanya bekerja sama dengan vendor.
April 21, 2008
Apa itu Hosting
Building a Forex Trading
Your chosen Forex trading strategy will drive the trading decisions that you make in the Forex trading system. If you are new or a novice to Forex trading systems, you will need to develop an appropriate strategy that will evolve over time. The following steps outline the approach to building a Forex trading strategy that may be adapted and tailored to your needs.
Develop a Forex Trading Plan - A Forex trading strategy should never be considered absolute or complete. Part of having a Forex trading strategy is incorporating a plan for making adjustments to the strategy. You will need to be able to make adjustments without completely revamping your strategy. Though you may consider your trading strategy to be more technical than fundamental or vice versa, you should take advantage of any available market data in making your trading decisions regardless of which discipline it falls under.
Initiate a Forex Trade - You must decide on the currency pairs that you which to trade and the number of units to trade. You must establish either a buy or sell position. You are then ready to initiate a trade as either a market order or a limit order. A market order initiates a trade at the current market price while a limit order permits a trade to be executed when the market price reaches a limit that is predetermined by you. As a safeguard for online trading, particularly with limit orders, you should also establish limits to take profits or stop losses. Take profit and stop loss limits become particularly important with online trading when your Internet connection is loss. In the time it will take to reestablish a connection, the market price may change and fall outside of any established limits. Your trading platform may be able to calculate a suitable set of limits. Limits are set as either the percentage of the trading range or as distance from the market entry price. If you have established an open position, you may adjust these calculated values to suit your needs.
April 19, 2008
Technologies Desktop Search
Desktop search engines build and maintain an index database to achieve reasonable performance when searching several gigabytes of data. Indexing usually takes place when the computer is idle and most search applications can be set to suspend it if a portable computer is running on batteries, in order to save power. When indexing the files, desktop search tools collect three types of information about files:
* file and directory names
* metadata, such as titles, authors, comments in file types such as MP3, PDF and JPEG
* content of supported documents.
To search within documents, the tools need to be able to parse many different types of documents. This is achieved by using filters that interpret selected file formats. For example, a Microsoft Office Filter might be used to search inside Microsoft Office documents.
Long-term goals for desktop search include the ability to search the contents of image files, sound files and video by context.
The sector attracted considerable attention from the struggle between Microsoft and Google. According to market analysts, both companies are attempting to leverage their monopolies (of web browsers and search engines, respectively) to strengthen their dominance. Due to Google's complaint that users of Windows Vista can not choose any competitor's desktop search program over the built-in one, an agreement was reached between US Justice Department and Microsoft that Windows Vista Service Pack 1 will enable users to choose between the built-in and other desktop search programs, and select which one is to be the default.
Desktop Search
Is the name for the field of search tools which search the contents of a user's own computer files, rather than searching the Internet. These tools are designed to find information on the user's PC, including web browser histories, e-mail archives, text documents, sound files, images and video.
One of the main advantages of desktop search programs is that search results come up in a few seconds; Windows search companion can be some help, but it searches through Windows files and folders only, not e-mail or contact databases, and unless you enable the Indexing Service (in Windows 2000 or XP), the Windows search tool is extremely slow.A variety of desktop search programs are available; see this list for examples.
Desktop search is emerging as a concern for large firms for two main reasons: untapped productivity and security. A commonly cited statistic states that 80% of a company's data is locked up inside unstructured data — the information stored on an end user's PC, the files and directories they've created on a network, documents stored in repositories such as corporate intranets and a multitude of other locations. [2] Moreover, many companies have structured or unstructured information stored in older file formats to which they don't have ready access.
X1 Technologies' X1 Professional Client is an example of a desktop search tool for Windows.
X1 Technologies' X1 Professional Client is an example of a desktop search tool for Windows.
Companies doing business in the United States are frequently required under regulatory mandates like Sarbanes-Oxley, HIPAA and FERPA to make sure that access to sensitive information is 100% controlled. This creates a challenge for IT organizations, which may not have a desktop search standard, or lack strict central control over end users downloading tools from the Internet. Some consumer-oriented desktop search tools make it possible to generate indexes outside the corporate firewall and share those indexes with unauthorized users. In some cases, end users are able to index — but not preview — items they should not even know exist.
History of web search engine
The very first tool used for searching on the Internet was Archie.The name stands for "archive" without the "v". It was created in 1990 by Alan Emtage, a student at McGill University in Montreal. The program downloaded the directory listings of all the files located on public anonymous FTP (File Transfer Protocol) sites, creating a searchable database of file names; however, Archie did not index the contents of these files.
The rise of Gopher (created in 1991 by Mark McCahill at the University of Minnesota) led to two new search programs, Veronica and Jughead. Like Archie, they searched the file names and titles stored in Gopher index systems. Veronica (Very Easy Rodent-Oriented Net-wide Index to Computerized Archives) provided a keyword search of most Gopher menu titles in the entire Gopher listings. Jughead (Jonzy's Universal Gopher Hierarchy Excavation And Display) was a tool for obtaining menu information from specific Gopher servers. While the name of the search engine "Archie" was not a reference to the Archie comic book series, "Veronica" and "Jughead" are characters in the series, thus referencing their predecessor.
The first Web search engine was Wandex, a now-defunct index collected by the World Wide Web Wanderer, a web crawler developed by Matthew Gray at MIT in 1993. Another very early search engine, Aliweb, also appeared in 1993, and still runs today. JumpStation (released in early 1994) used a crawler to find web pages for searching, but search was limited to the title of web pages only. One of the first "full text" crawler-based search engines was WebCrawler, which came out in 1994. Unlike its predecessors, it let users search for any word in any webpage, which became the standard for all major search engines since. It was also the first one to be widely known by the public. Also in 1994 Lycos (which started at Carnegie Mellon University) was launched, and became a major commercial endeavor.
Soon after, many search engines appeared and vied for popularity. These included Excite, Infoseek, Inktomi, Northern Light, and AltaVista. Yahoo! was among the most popular ways for people to find web pages of interest, but its search function operated on its web directory, rather than full-text copies of web pages. Information seekers could also browse the directory instead of doing a keyword-based search.
Search engines were also known as some of the brightest stars in the Internet investing frenzy that occurred in the late 1990s. Several companies entered the market spectacularly, receiving record gains during their initial public offerings. Some have taken down their public search engine, and are marketing enterprise-only editions, such as Northern Light. Many search engine companies were caught up in the dot-com bubble, a speculation-driven market boom that peaked in 1999 and ended in 2001.
Around 2000, the Google search engine rose to prominence.The company achieved better results for many searches with an innovation called PageRank. This iterative algorithm ranks web pages based on the number and PageRank of other web sites and pages that link there, on the premise that good or desirable pages are linked to more than others. Google also maintained a minimalist interface to its search engine. In contrast, many of its competitors embedded a search engine in a web portal.
By 2000, Yahoo was providing search services based on Inktomi's search engine. Yahoo! acquired Inktomi in 2002, and Overture (which owned AlltheWeb and AltaVista) in 2003. Yahoo! switched to Google's search engine until 2004, when it launched its own search engine based on the combined technologies of its acquisitions.
Microsoft first launched MSN Search (since re-branded Live Search) in the fall of 1998 using search results from Inktomi. In early 1999 the site began to display listings from Looksmart blended with results from Inktomi except for a short time in 1999 when results from AltaVista were used instead. In 2004, Microsoft began a transition to its own search technology, powered by its own web crawler.
As of late 2007, Google was by far the most popular Web search engine worldwide.A number of country-specific search engine companies have become prominent; for example Baidu is the most popular search engine in the People's Republic of China.