Searching is one of the most basic operation provided by an LDAP server. LDAP offers a rich set of searching capabilities. The search operation allows a client to request the server to perform a search on its behalf. The search operation locates specific users or services in the directory tree. The LDAP server executes the search (or update) command and returns a response to the client.

Upon receipt of a Search Request, a server will perform the necessary search of the DIT. The server will then return to the client a sequence of responses in separate LDAP messages. The search responses may contain SearchResultEntry (the attributes and values satisfying the search conditions), SearchResultReference (URL of the referral servers), ExtendedResponse or SearchResultDone (success or failure of search operation) data types.

Faster searching increases server load and network traffic. An overloaded server and congested network slows down the performance. This makes a loop of contradiction. It is necessary to reduce server load and reduce network traffic while increasing speed of searching.

This article is a TRIZ based study of patents on Lightweight Directory Access Protocol (LDAP) data Searching. Data searching is one of the most important operations of LDAP. The objective of this article is to find the major concerns in LDAP data searching, find the IFR and trends of LDAP data searching and predict the future lines of inventions on LDAP searching.

This article is a part of the main study made on LDAP based on 60 patents selected from US patent database. (For more details on the study please refer to the article “Inventions on LDAP- A study based on US Patents”, by Umakant Mishra, published in http://www.trizsite.com, July 2006.)

Lightweight Directory Access Protocol (LDAP) is an IETF open standard to provide directory services in the network. LDAP stores the directory information in a database. An LDAP server may store data in a Flat file, or in RDBMS or in any other format. The LDAP client applications such as LDAP enabled web browsers like Netscape communicator and Internet Explorer can use LDAP directory interface without having knowledge on the underlying data storage mechanism.

This article is a part of the main study made on LDAP based on 60 patents selected from US patent database. (For more details on the study please refer to the article “Inventions on LDAP- A study based on US Patents”, by Umakant Mishra, published in http://www.trizsite.com, July 2006.)

This article is a TRIZ based analysis of patents on LDAP data storage. The objective of this article is to find the major concerns in LDAP data storage, define the Ideal Final Result (IFR) of LDAP data storage, find the trends of evolution and predict the future inventions on LDAP data storage.

Applying 40 Principles is one of the most fundamental techniques of TRIZ. Although they are fundamentally sound, there is some difficulty in applying those in software related problems. As they were originally developed for mechanical or technical problems, the meaning of many terms like 'thermal', 'aerodynamic', 'hydrodynamic', 'ultrasonic', 'infrared', 'temperature', 'liquid', 'gas' etc. are embarrassing in a software context.

This article reviews the 40 principles in the context of software industry and rephrases the principles and their applications to make them suitable for software problems. This article can be used as a valuable reference for all software inventors.

Software is very difficult to develop but very easy to copy. By copying the copier create an exact duplicate of the original software and use without paying for it. The copier of the soruce code even might claim to be the developer. Most large developers are keen on protecting their software investments through patents, where as most small to Medium Developers don't. This article describes what type of software inventions are patentable and the scope of patent laws in software patenting in different countries.

This article illustrates the features of a good TRIZ software and lays out the parameters of evaluating TRIZ software. The objective of this article is to help the TRIZ users understand what should they expect from a TRIZ software and how to choose a software that is really useful to solve inventive problems. The article points out that a software certainly supplement human brain and memory and speed up the innovation job.