Content routing architecture for enhanced internet services

• US 20030210694A1
• Filed: 10/29/2002
• Published: 11/13/2003
• Est. Priority Date: 10/29/2001
• Status: Abandoned Application

• Current Assignee: Jose Alejandro Rueda, Suresh Jayaraman, Sylvanus Agbonifoh Ehikioya
• Original Assignee: Jose Alejandro Rueda, Suresh Jayaraman, Sylvanus Agbonifoh Ehikioya
• Inventors: Ehikioya, Sylvanus Agbonifoh, Rueda, Jose Alejandro, Jayaraman, Suresh
• Application Number:
  US10/283,037
• Publication Number:
  US 20030210694A1
• Time in Patent Office: Days
• US Class Current: 370/392
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30
• CPC Class Codes: H04L 67/101 based on network conditions
• CPC Class Codes: H04L 67/1014 based on the content of a request
• CPC Class Codes: H04L 67/1021 based on client or server locations
• CPC Class Codes: H04L 67/1023 based on a hash applied to IP addresses or costs

Abstract

The need for an intelligent content-based router to analyze data and process a client'"'"'s request quickly and efficiently is increasing with the popularity of the Internet. Current content routers examine only the HTTP based URL request and routes the request to the “best” server for processing. These routers fail to examine different types of TCP-based user requests. The content router we developed examines all type of TCP-based requests. The content router is a core router that simply forwards packets to the edge routers for delivery after performing its content based processing. This router can be replicated to achieve higher performance in large networks. Moreover, by adopting a formal design approach, which is subject to mechanical evaluation using the Z-EVES tool, the correctness of the design is ascertained.

Claims

1. A method for directing packets of data in a telecommunications network,

wherein the network comprises a plurality of clients, a plurality of servers for supplying those services and a plurality of routers for directing communications over the network;

the method comprising;

providing a router for routing data packets within the network;

providing in the router a packet inspector which examines the data in the packet;

providing in the router a resource inspector which obtains from the network a set of metrics including network state information;

and using the data in each packet and the network state characteristics to determine a suitable destination address that can optimize the processing of the packet.

2. The router according to claim 1 wherein the router provides scalable services that can appropriately respond to varying processing loads.

3. The router according to claim 1 wherein the router provides the ability to track content requests and respond with appropriate content economically.

4. The router according to claim 1 wherein the router provides optimized routing based on application characteristics, thereby increasing bandwidth use on the Internet.

5. The router according to claim 1 wherein at least some of the packets are redirected to a different destination address than was originally specified.

6. The router according to claim 1 wherein the set of metrics includes network state information including transmission cost, speed, and traffic over various links as well as server proximity and workload.

7. The router according to claim 1 wherein the router is arranged to integrate both dynamic data with the limited static data to make intelligent routing decisions, wherein the dynamic data includes the amount of memory and percentage of processor power available at a router, the workload of the router, and the queue length at the router of a network and wherein the static data includes the packet'"'"'s data and the IP addresses of potential servers that can service the request.

8. The router according to claim 1 wherein the verified content-based routing technology that is arranged to provide application-specific intelligent software routing environments to create more efficient geographically distributed databases and other similar applications.

9. The router according to claim 1 wherein the packet inspector uses Layers 3 through Layer 7 of the OSI model.

10. The router according to claim 1 wherein the Resource inspector finds load and resource information on each server dynamically and provides the collected information to other components of the router in order to process the client request.

11. The router according to claim 1 wherein the packet inspector is arranged to examine all type of TCP-based requests.

12. The router according to claim 1 wherein the router consists of four major components embedded within a single unit including, in addition to the Packet Inspector and the Resource Inspector, a Scheduler and a Switching Unit.

13. The router according to claim 12 wherein the Packet Inspector has two sub-components, the Packet Capture and the Packet Analyzer which enable the unit to capture and extract the data in each packet wherein the extracted data is sent to the scheduler to select an efficient server to process the client'"'"'s request.

14. The router according to claim 13 wherein the packet inspector uses C programming language for capturing the packet and Java for analyzing and extracting the data.

15. The router according to claim 1 wherein the Resource Inspector has two sub-components, the Resource Locator and the Resource Manager wherein the Resource Locator collects different resource information from different servers by sending resource agents to different servers and wherein the collected resource information is given to the Resource Manager which organizes and manages the information and forms a Resource Table which contains the resource name and the server address.

16. The router according to claim 15 wherein extracted data from a packet is scanned in the Resource Table to locate the server address or addresses to forms a Data Location Table which is sent to the Scheduler for further processing.

17. The router according to claim 1 wherein Algorithms for locating the resources and forming the RT and DL tables are substantially as set forth in Algorithms 2 and 3.

18. The router according to claim 1 wherein the Scheduler has three sub-components, the Load Inspector, the Cost Manager and the Cache Manager, wherein the Load Inspector extracts the load information of different servers present in the Data Location Table and checks for the server'"'"'s status, wherein the Cost Manager measures the distance between the client and the participating servers and wherein the Cache Manager collects the best and efficient server address with the extracted data and stores it in the cache.

19. The router according to claim 18 wherein the Algorithms for the Load Inspector, the Cost Manager and the Cache Manager are substantially as set forth in Algorithms 4-7.

20. The router according to claim 1 wherein the router is arranged for e-commerce applications using the UML paradigm.

21. The router according to claim 1 wherein router uses the Z specification language to guarantee correctness and prove the reliability of the design.