LDAP Replication Priority Queuing Mechanism

Abstract

A replication priority queuing system prioritizes replication requests in accordance with a predetermined scheme. An exemplary system includes a Replication Priority Queue Manager that receives update requests and assigns a priority based upon business rules and stores the requests in associated storage means. A Replication Decision Engine retrieves the requests from storage and determines a destination for the update based upon predetermined replication rules, and sends the update to the destination.

Description

CROSS REFERENCED TO RELATED APPLICATION[0001]This application is a continuation of U.S. application Ser. No. 11 / 567,234, filed Dec. 6, 2006, the entirety of which is herein incorporated by reference.BACKGROUND[0002]Telecommunications network providers must manage large volumes of data. For example, a telecommunications network provider may store millions of records of customer data on database server networks that are heavily accessed and frequently updated. This customer data can include customer identifications, passwords, addresses, preferences, etc. which must be accessible by a variety of different users. A common method for managing such data includes creating directory listings using the Lightweight Directory Access Protocol (LDAP). LDAP is a TCP / IP compliant protocol that provides for the quick access and update of directory listings. LDAP-supported systems have been implemented in a variety of contexts such as web browsers and email programs.[0003]These LDAP directory listi...

AI Technical Summary

Benefits of technology

"The present invention provides a system and method for prioritizing and processing database requests in a network. The system includes a Replication Management System (RMS) that receives update requests and assigns them a priority level based on a predetermined scheme. The update requests are then stored in a priority queue and executed in accordance with the assigned priority level. The system can prioritize requests based on factors like importance or time criticality, and can also dynamically adjust the priority level of a request based on its age. The technical effect of the invention is to improve the efficiency and speed of processing database requests in a network."

Problems solved by technology

Problems can arise however when data is not efficiently updated at the master server or efficiently replicated to other servers.

However, the change of a password can significantly affect a user's ability to access the network if it is not immediately replicated.

These batch requests can require a large amount of resources to process.

Under the present first-in-first-out approach if a large batch file is received at an LDAP server prior to the afore-mentioned password update request, the batch request would be processed first, thereby resulting in the delay of the replication of the password request.

This delay is undesirable as it can affect the user's ability to access the network.

Thus, problems can arise with the prior art first-in-first-out replication method.

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