Multi-platform optimization model

• US 20070039009A1
• Filed: 05/26/2006
• Published: 02/15/2007
• Est. Priority Date: 10/26/2000
• Status: Active Grant

• Current Assignee: Jason M. Donahue Trust
• Original Assignee: Metilinx
• Inventors: Collazo, Carlos
• Granted Patent: US 7,363,370 B2
• Time in Patent Office: Days
• US Class Current: 719/319
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/87 Monitoring of transactions
• CPC Class Codes: H04L 41/022 Multivendor or multi-standard integration
• CPC Class Codes: H04L 41/0233 Object-oriented techniques, for representation of network management data, e.g. common object request broker architecture [CORBA]
• CPC Class Codes: H04L 41/0823 characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability for optimising operational conditions of wireless networks H04W24/02
• CPC Class Codes: H04L 41/083 for increasing network speed
• CPC Class Codes: H04L 41/0853 by actively collecting configuration information or by backing up configuration information
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 41/5012 determining service availability, e.g. which services are available at a certain point in time
• CPC Class Codes: H04L 43/02 Capturing of monitoring data
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 43/14 using software, i.e. software packages network security related monitoring H04L63/1408
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

An optimization system for networks that use multiple different devices having different combinations of hardware and software (i.e., platforms). The system accurately assesses, controls and optimizes performance of such networks. The invention provides an efficient user interface for installing, configuring and operating various features of the optimization system. Intelligence objects operate at the server node level to dynamically analyze system processes at each server node. The analysis of system processes is extensive and includes hardware, software, operating system and communications. One feature allows an object to generate a number representing a local utilization value. The local utilization value is a measure of one or more performance factors in the platform hosting the object. The local utilization value can be passed to another platform system hosting a second intelligence object. The second intelligence object can generate its own local utilization value or can combine its local utilization value with the passed value to create a composite utilization value that reflects performance of both platforms. Where different values are from different platforms, the system resolves, adjusts, or normalizes the values to achieve a composite value.

Claims

1. A method for monitoring the performance of a digital networked system, wherein the system includes first and second platforms, the method comprising

generating a first value indicating a characteristic of operation of the first platform;

transferring the first value to the second platform;

obtaining a second value indicating a characteristic of operation of the second platform; and

combining the first and second values into a composite value by adjusting one of the first or second values to account for a difference in operation characteristics between the first and second platforms.

2. The method of claim 1, wherein the difference in operation includes differences in the use of interrupts in processors in the first and second platforms.

3. The method of claim 1, wherein the difference in operation includes differences in the use of threads in the first and second platforms.

4. The method of claim 1, wherein the difference in operation includes differences in the use of forked processes in the first and second platforms.

5. The method of claim 1, wherein the difference in operation includes differences in memory management in the first and second platforms.

6. The method of claim 1, wherein the first and second platforms use different types of operating systems.

7. The method of claim 1, wherein the first and second platforms use different types of central processing units.

8. The method of claim 1, wherein the first and second platforms support different types of operating environments.