Abstract: A computer system to reconcile hard assets carried on the financial data reporting computer systems of a corporation or government entity with actual inventory assets discovered on the networks of said entity. Automatic discovery of inventory assets is performed by executing scripts specified in fingerprints of the types of machines the system can recognize. When a machine is found at a live P address, the fingerprint scripts determine the operating system type and extract data from the operating system regarding the attributes of the machine. Hard assets are then imported from the financial data reporting computer system, and automatic reconciliation rules are drafted by a user and run on the asset data to find inventory assets which match hard assets. Linking or pointer data is established to record each match. Then unmatched inventory and hard assets are displayed and manual matching occurs where in the user points to and selects inventory assets which match particular hard assets.

Abstract: A computer system to reconcile hard assets carried on the financial data reporting computer systems of a corporation or government entity with actual inventory assets discovered on the networks of said entity. Automatic discovery of inventory assets is performed by executing scripts specified in fingerprints of the types of machines the system can recognize. When a machine is found at a live P address, the fingerprint scripts determine the operating system type and extract data from the operating system regarding the attributes of the machine. Hard assets are then imported from the financial data reporting computer system, and automatic reconciliation rules are drafted by a user and run on the asset data to find inventory assets which match hard assets. Linking or pointer data is established to record each match. Then unmatched inventory and hard assets are displayed and manual matching occurs where in the user points to and selects inventory assets which match particular hard assets.

Abstract: Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes.

Abstract: Information from a variety of different sources may be used to enrich information about an object retrieved from a computing device/instance associated with a computing network (or web service provider). The additional information from the different sources provides to a user a more comprehensive set of information that may not be easily found (or even available) via sources associated with the computing network. As such, the additional information is beneficial in assisting users in making decisions regarding the purchase, licensing, and use of different objects (e.g. software, hardware, web services) associated with the computing network.

Abstract: Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes.

Abstract: Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes.

Abstract: Each known operating system, software, or hardware can correspond to a list of identifiable attributes that is used to uniquely identify the operating system, software, or hardware of interest. By using these identifiable attributes in rules, fingerprints can be generated that define the existence of an object (e.g. operating systems, software and hardware). By using the generated fingerprints via a discovery tool, the existence of the objects can be determined within an environment (e.g. computing device, computing network).

Abstract: A system to automatically gather attribute data about elements such as networks, network interface cards, operating systems, device types, installed software, processes in execution, financial data, etc. in an organization or a designated subset of the organization. Fingerprint files are used, each fingerprint file corresponding to an element of a specific type and each containing a list of attributes that will be found if that element exists in the system. Each fingerprint contains or points to one or more collection instructions which control a data collector process to attempt to gather attribute data. Each fingerprint contains or points to rules that are used to analyze the attribute data gathered to calculate the probability that the element exists. The rules can be fired sequentially, in if-then-else fashion or can be incorporated in a script in loops and with mathematical manipulations, tests and branching for more sophisticated analysis.

Abstract: A system to conduct automatic asset discovery inventory of a company's computing assets from backup images stored on a backup system. In more complex embodiments, user interface tools are provided to provide a choice of sources of data from which to conduct said inventory discovery. The user can choose between backup images, the actual computing systems and other nodes on one more networks of a company or third party software. If third party software is chosen, data gathered by the software about the network topology and attributes of systems on the network is gathered and converted to an intermediate data format. This intermediate data format is then converted to a data format understood by said automatic asset discovery system and then fingerprints stored in said automatic asset discovery system are compared to said data and conclusions drawn about the attributes of the network and systems on it.

Abstract: Each known operating system, software, or hardware within a UNIX environment can correspond to a list of identifiable attributes that is used to uniquely identify the operating system, software, or hardware of interest. By using these identifiable attributes in rules, fingerprints can be generated that define the existence of an object (e.g. operating systems, software and hardware) within the UNIX environment. By using the generated fingerprints via a discovery tool, the existence of the objects can be determined within the UNIX environment (e.g. computing device, computing network).

Abstract: Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes.

Abstract: Methods and/or systems for identifying and/or representing information appliances on a communication system retrieve data sets and store signature data for later identification of individual information systems.

Abstract: A process and apparatus to remotely gather data about cellphone hardware and software configurations and usage. The system uses agents which are resident on the phones and which can be remotely launched by a data collection server by sending a message to a public IP address of the phone and addressed to a special port designated for launch. The agent specifies the launch port and a data collection port upon installation and registration with the cellphone operating system. Data on hardware configuration, software version and phone usage can be gathered. Data collection sessions are established by the data collection server sending a message addressed to the public IP address of the cellphone and the data collection port specified by the agent process upon registration with the operating system. Many alternative embodiments are also disclosed.

Abstract: A system to automatically gather attribute data about elements such as networks, network interface cards, operating systems, device types, installed software, processes in execution, financial data, etc. in an organization or a designated subset of the organization. Fingerprint files are used, each fingerprint file corresponding to an element of a specific type and each containing a list of attributes that will be found if that element exists in the system. Each fingerprint contains or points to one or more collection instructions which control a data collector process to attempt to gather attribute data. Each fingerprint contains or points to rules that are used to analyze the attribute data gathered to calculate the probability that the element exists. The rules can be fired sequentially, in if-then-else fashion or can be incorporated in a script in loops and with mathematical manipulations, tests and branching for more sophisticated analysis.

Abstract: Methods and/or systems for identifying and/or representing information appliances on a communication system retrieve data sets and store signature data for later identification of individual information systems.

Abstract: A system to automatically gather attribute data about elements such as networks, network interface cards, operating systems, device types, installed software, processes in execution, financial data, etc. in an organization or a designated subset of the organization. Fingerprint files are used, each fingerprint file corresponding to an element of a specific type and each containing a list of attributes that will be found if that element exists in the system. Each fingerprint contains or points to one or more collection instructions which control a data collector process to attempt to gather attribute data. Each fingerprint contains or points to rules that are used to analyze the attribute data gathered to calculate the probability that the element exists. The rules can be fired sequentially, in if-then-else fashion or can be incorporated in a script in loops and with mathematical manipulations, tests and branching for more sophisticated analysis.