89results about How to "Reduce resource" patented technology

A single operating system image is shared among multiple running virtualized containers such that each running container interacts with underlying shared files and resources in system storage. Each container running on a server are provided the same image, which remains consistent among the containers. Each image is named and versioned and each container is configured in a manner that defines which underlying image is used when the container is started. When updates to the image are made, a new image is be generated, and the containers are be switched to the new image by changing configuration properties associated with the container and restarting the container.

Systems and methods for correlating log messages into actionable incidents. Some embodiments implement a method which includes comparing a plurality of disparate log messages to a plurality of incident descriptions. The disparate log messages can be parsed. When the messages correlate with an incident description an incident case can be created. Workflow steps can be associated with the incident case and output along with the incident case. Additional disparate log messages can be compared to the incident expressions and, when additional messages correlate with the correlated incident description, the incident case can be adjusted. In some embodiments, the adjustment can include adding workflow steps to the incident case. Results of various workflow steps can be monitored and adjustments can be made accordingly. In some embodiments, the results can include out-of-bounds activities.

The reconfiguration controller selects for each data whether or not to execute remote copying of data from the first storage device to the second storage device. Each data sent from the host to be stored in the first storage device contains a copy policy tag that defines the policy relating to remote copying. The reconfiguration controller determines whether or not remote copying of the each data is necessary based on the copy policy tag of the each data, and selectively transmits the data requiring remote copying to the second storage device.

The present invention relates to methods and a transmitter and a receiver for a mobile communication system. The basic idea of the present invention is to recursively derive from previous HARQ feedback the number of HARQ transmissions that is required to be able to decode the transmitted data successfully and to only transmit explicit HARQ feedback information if the decoding result differs from the derived result.

The invention provides system, apparatus and procedure to coordinate the data management operations in a data storage system. The data management operations are performed on data stripes, which are distributed across a plurality of disk drives. According to the procedural aspect of the invention a task director first executes a first operation and a second operation of the data management operations at a concurrent time. The first operation is a different operation than the second operation. The first operation includes a first set of tasks and the second operation includes a second set of tasks. The execution of each task of the first and second sets of tasks are directed by the task director.

The present disclosure discloses a training method and an apparatus for service quality evaluation models. The method includes: collecting the machine performance data, the network characteristic data, and the quality monitoring data of the service nodes according to a fixed cycle; determining a characteristic value based on the machine performance data and the network characteristic data; determining a tag based on the quality monitoring data; building a training set using the characteristic value and the tag; and training a deep neural network model using the training set to obtain a service quality evaluation model. Using the service quality evaluation model provided by the present disclosure to perform service quality evaluation may improve the accuracy of the evaluation and reduce the data input, and thus may greatly reduce the computing resources and bandwidth required for the evaluation. Therefore, not only the efficiency of the service quality evaluation is improved, but also the operating costs is reduced.