Abstract: An example method includes collecting network performance data from a number of network devices, where the network performance data includes a unique key; dividing the network performance data into a metadata portion and a performance data portion; and associating each of the metadata portion and the performance data portion with a corresponding unique key. The method further includes storing the metadata portion at a first location, storing the performance data portion at a second location, and providing a performance report in response to a request for a performance query, where providing the performance report includes matching at least a portion of the metadata portion with a corresponding portion of the performance data portion.

Abstract: A method includes performing operations to swap a system from a first userspace to a third userspace. Operations of the method include: operating the system using the first userspace, loading a second userspace into an operating system memory space accessible to a kernel, and installing a custom init replacement. Operations of the method further include signaling an init system to execute the custom init replacement, thereby operating the system using a second userspace, loading the third userspace into a second memory location accessible to the kernel, and signaling the init system to execute the custom init replacement a second time, thereby operating the system using the third userspace.

Abstract: A performance management system, having a peer-to-peer architecture, enables performance transparency in computer information systems, providing granular performance data and scalability. Peer appliances in a computer information system collect performance data. When a user requests a performance report, an originating peer appliance may determine which peer appliances contain the data required for the report and what data processing, if any, is required. The originating peer appliance may send requests indicating what data and what data manipulation processing is required. Each of the receiving peer appliances (including the originating peer appliance) may perform its own portion of the data processing. The originating peer appliance may receive resultant data from the peer appliances (including itself) and combine the resultant data into the requested report for the user.

Abstract: A performance management system, having a peer-to-peer architecture, enables performance transparency in computer information systems, providing granular performance data and scalability. Peer appliances in a computer information system collect performance data. When a user requests a performance report, an originating peer appliance may determine which peer appliances contain the data required for the report and what data processing, if any, is required. The originating peer appliance may send requests indicating what data and what data manipulation processing is required. Each of the receiving peer appliances (including the originating peer appliance) may perform its own portion of the data processing. The originating peer appliance may receive resultant data from the peer appliances (including itself) and combine the resultant data into the requested report for the user.

Abstract: A performance management system leverages an iterative process to provide performance reports, with reduced computing resources. In response to a request for a performance report, a respective subset of performance data records may be received from each of a plurality of sources. It may then be determined whether additional performance data records are to be requested from the plurality of sources for the report. The received data may be processed and the resultant report may be outputted. For example, the iterative process may be applied to generate a top-n report based on network flow performance data in a computer information system.

Abstract: A performance management system, having a peer-to-peer architecture, enables performance transparency in computer information systems, providing granular performance data and scalability. Peer appliances in a computer information system collect performance data. When a user requests a performance report, an originating peer appliance may determine which peer appliances contain the data required for the report and what data processing, if any, is required. The originating peer appliance may send requests indicating what data and what data manipulation processing is required. Each of the receiving peer appliances (including the originating peer appliance) may perform its own portion of the data processing. The originating peer appliance may receive resultant data from the peer appliances (including itself) and combine the resultant data into the requested report for the user.

Abstract: A performance management system leverages an iterative process to provide performance reports, with reduced computing resources. In response to a request for a performance report, a respective subset of performance data records may be received from each of a plurality of sources. It may then be determined whether additional performance data records are to be requested from the plurality of sources for the report. The received data may be processed and the resultant report may be outputted. For example, the iterative process may be applied to generate a top-n report based on network flow performance data in a computer information system.

Abstract: A performance management system, having a peer-to-peer architecture, enables performance transparency in computer information systems, providing granular performance data and scalability. Peer appliances in a computer information system collect performance data. When a user requests a performance report, an originating peer appliance may determine which peer appliances contain the data required for the report and what data processing, if any, is required. The originating peer appliance may send requests indicating what data and what data manipulation processing is required. Each of the receiving peer appliances (including the originating peer appliance) may perform its own portion of the data processing. The originating peer appliance may receive resultant data from the peer appliances (including itself) and combine the resultant data into the requested report for the user.