Abstract: A system for gathering data for purposes of analyzing a network. The data is gathered based on values that are passed from node-to-node within processing devices, such as servers, in a network. The values are generated from characteristics obtained from measuring device performance and resource utilization. Values are passed peer-to-peer and successively combined with values at each receiving system so that, ultimately, a value is obtained that reflects the operation of a group of devices. A correlation matrix is maintained to indicate discrepancies in value meanings from different devices. The correlation matrix is used to more accurately combine values to achieve meaningful composite values.

Abstract: A network optimization system that uses multiple devices having different combinations of hardware and software (i.e., platforms). The system assesses, controls and optimizes network performance , providing an efficient 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. One feature allows an object to generate a number representing a local utilization, 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, generating its own local utilization value or combining its local utilization value with the passed value to create a composite utilization value that reflects performance of both platforms.

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.

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.

Abstract: An application program interface for a network optimization system. The interface provides functions, objects, procedures and other processes or functionality for controlling a network optimization system as described herein and in the related applications. In one embodiment the invention provides an interface providing dual interface support for scripting languages.

Abstract: A system for gathering data for purposes of analyzing a network. The data is gathered based on values that are passed from node-to-node within processing devices, such as servers, in a network. The values are generated from characteristics obtained from measuring device performance and resource utilization. Values are passed peer-to-peer and successively combined with values at each receiving system so that, ultimately, a value is obtained that reflects the operation of a group of devices. A correlation matrix is maintained to indicate discrepancies in value meanings from different devices. The correlation matrix is used to more accurately combine values to achieve meaningful composite values.

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.

Abstract: An optimization system for multi-tiered, heterogeneous server platforms. The system accurately assesses, controls and optimizes performance of systems that include multiple computer servers organized across multiple tiers. The invention provides an efficient user interface for installing, configuring and operating various features of the optimization system. An application programming interface allows users to integrate and adapt the facility for use with any 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. The result of each intelligence object analysis is communicated to all other intelligence objects dynamically throughout each tier. One feature allows an object to generate a number representing a local utilization value.