Patent classifications
G06F11/00
Intelligent and automatic load balancing of workloads on replication appliances based on appliance load scores
Various systems and methods are provided in which a replication process is initiated between a primary site and a recovery site, each having plurality of gateway appliances. Replication loads are evaluated for each given gateway appliance of the plurality of gateway appliances. If a determination is made that at least one gateway appliance of the plurality of gateway appliances is not overloaded, the plurality of gateway appliances are sorted based on replication loads respectively associated with each gateway appliance, and a determination is made as to whether a relative difference in replication loads between a gateway appliance having a highest replication load and a gateway appliance having a lowest replication load exceeds a difference threshold to determine whether the replication workloads between the gateway appliances should be rebalanced.
Pre-positioning target content in a storage network
A method for execution in a storage network, the method begins by determining a user device group content preference, wherein the user group content includes target content for a user device group and the determining includes predicting future target content for the user group. The method continues by selecting a plurality of network edge units for staging encoded data slices, identifying target content for partial download to the plurality of network edge units and dispersed error encoding the target content to generate a set of encoded data slices. The method then continues by identifying encoded data slices from the set of encoded data slices corresponding to the target content for partial download and determining a partial downloading schedule for sending the encoded data slices for partial download to each network edge unit of the plurality of network edge units. The method continues by facilitating partial downloading of the target content by sending the encoded data slices for partial download to each network edge unit of the plurality of network edge units.
Pre-positioning target content in a storage network
A method for execution in a storage network, the method begins by determining a user device group content preference, wherein the user group content includes target content for a user device group and the determining includes predicting future target content for the user group. The method continues by selecting a plurality of network edge units for staging encoded data slices, identifying target content for partial download to the plurality of network edge units and dispersed error encoding the target content to generate a set of encoded data slices. The method then continues by identifying encoded data slices from the set of encoded data slices corresponding to the target content for partial download and determining a partial downloading schedule for sending the encoded data slices for partial download to each network edge unit of the plurality of network edge units. The method continues by facilitating partial downloading of the target content by sending the encoded data slices for partial download to each network edge unit of the plurality of network edge units.
WEB BROWSER TRACKING
A technique for tracking web browsing activity of a client device that includes storing, in a memory, a client profile having a client identifier associated therewith, providing a client device with a cache file having the client identifier embedded therein, receiving from the client device an identification of a client action and the client identifier, and updating the client profile to include the identification of the client action.
METHOD AND ARRANGEMENT FOR DETERMINING A QUALITY RATING DATA FOR A MEDICAL DATA ACQUISITION SYSTEM
A method and arrangement for determining a quality rating data (QRD) of a medical data acquisition system (MDAS). The method and arrangement comprise of receiving first data, which includes utilization errors occurred during performing a data acquisition procedure (DAP), by a data acquisition component of the MDAS, on a patient to acquire medical data. The method and arrangement further comprise generating second data as a function of the first data. The second data is indicative of categories of the utilization errors, wherein at least one utilization error is assigned to a corresponding category based on a predetermined parameter. The method and arrangement further comprise determining the QRD as a function of a total number of MDAS utilizations, a predetermined coefficient for the corresponding error category and a number of utilization errors in the corresponding error category.
METHOD AND SYSTEM FOR IMPLEMENTING AN OPERATING SYSTEM HOOK IN A LOG ANALYTICS SYSTEM
Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach is provided for identifying log files that have undergone a change in status that would require retrieve of its log data, by including a module directly into the operating system that allows the log collection component to be reactively notified of any changes to pertinent log files.
METHOD AND SYSTEM FOR IMPLEMENTING AN OPERATING SYSTEM HOOK IN A LOG ANALYTICS SYSTEM
Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach is provided for identifying log files that have undergone a change in status that would require retrieve of its log data, by including a module directly into the operating system that allows the log collection component to be reactively notified of any changes to pertinent log files.
Systems and methods for enabling a failover service for block-storage volumes
The present disclosure generally relates to a first network device in a primary region that can failover network traffic into a second network device in a failover region. The first network device can receive routing criteria identifying how traffic originating in the primary region should be routed. The first network device can transmit this routing criteria to the second network device in the failover region. Based on determining the occurrence of a failover event, the first network device may transmit network traffic originating in the primary region to the second network device in the failover region. The second network device can determine how to route the network traffic based on the routing criteria of the primary region. In some embodiments, the second network device can determine how to route the network traffic based on the routing criteria of the failover region.
Methods, systems, and computer readable media for smart network interface card testing
Methods, systems, and computer readable media for smart network interface card testing are disclosed. One example method occurs at a network interface card (NIC) comprising a network processing unit executing a monitoring agent for monitoring data traversing the NIC. The method includes obtaining, from a test system or a test traffic generator, at least one test packet; generating, using the monitoring agent, NIC processing information associated with processing the at least one test packet, wherein generating the NIC processing information includes monitoring application layer events, presentation layer events, session layer events, transport layer events, network layer events, driver layer events, kernel layer events, or other events involving the NIC and generating the NIC processing information using the monitored events; and storing or providing the NIC processing information for data analysis.
SELF-ADJUSTING TEST TIME ESTIMATION
A test case is executed on a product using a hardware machine, the product being configured in manufacturing according to a configuration, the test case being related to an estimation function. A set of data points resulting from the executing is collected. Using the estimation function, an estimated time needed for the executing is computed. Using the set of data points, an actual time used for the executing is computed. A determination is made whether a difference between the estimated time and the actual time is within a tolerance. Responsive to the difference not being within the tolerance, the estimation function is adjusted using the set of data points and at least one other set of data points, the other set of data points being generated by executing the test case on a second product configured according to a second configuration at a previous time.