Abstract:
A method for selecting templates for application deployment. The method may include storing, a plurality of templates for deploying applications into at least one of at least one edge server or at least one cloud server, wherein the at least one cloud server communicates with the at least one edge server through a network; receiving, from the at least one edge server, configuration information of a plurality of edge devices and the at least one edge server, and operation condition information of applications deployed, wherein the plurality of edge devices is in communication with the at least one edge server; receiving, from the at least one cloud server, infrastructure resource information of the at least one cloud server; and deploying, application by selecting at least one of the plurality of templates based on the configuration information, the operation condition information, and the infrastructure resource information.
Abstract:
A data extracting apparatus comprises: a processor configured to execute a program; and a storage device configured to store the program, the data extracting apparatus being configured to access: configuration information that defines a work environment including a group of sensors; and a data extraction rule, which is used for extraction from the configuration information, and is defined for each event that indicates one of a change and abnormality of the work environment, and the processor being configured to execute: detection processing of detecting a specific event based on sensor data from the group of sensors; extraction processing of extracting related data related to the specific event from specific configuration information corresponding to an acquisition time of the sensor data out of the configuration information, based on a specific data extraction rule corresponding to the specific event; and output processing of outputting the related data.
Abstract:
In the sensor data retrieval system, a gateway connected to a plurality of sensor devices collects sensor data including measurement values and time stamps and stores them in a temporary storage part, and the management computer collects sensor data and stores sensor data in the first storage part, the management computer updates the collected time for each gateway as the first time, registers the sensor data of the first storage part in the second storage part in the registration cycle, the search part which updates the latest time stamp among the time stamps of the registered sensor data for each gateway with the second time as the second time and accepts the search period and searches for the sensor data of the time stamp included in the search period, and the search upper limit time from the search period, and compares the second time with the search upper limit time.
Abstract:
A communication system comprising computers and a management computer, wherein the computers include a communication control unit configured to control a communication using a session of a terminal. The communication control unit manages a database storing in a plurality of pieces of session information. The management computer includes property management information for managing a property of each of the plurality of pieces of session information. The session information migration control unit is configured to: detect a migration trigger of the plurality of pieces of session information stored in a first database; select the plurality of pieces of session information from the plurality of pieces of session information stored in the first database based on the property management information; determine a migration order for the selected plurality of pieces of session information based on the property of the each of the selected plurality of pieces of session information.
Abstract:
Provided is a data processing system which links a plurality of types of processing each of which configured to implement a function. The data processing system includes: a gateway for inputting data; and a server for inputting data output from the gateway. The gateway applies first processing including one or more types of processing to the input data in accordance with information included in first flow information and outputs the processed data to the server. The server applies second processing to the data input from the gateway in accordance with the information included in the first flow information and thereafter applies third processing including one or more types of processing, specifies the second processing, generates, from the first flow information, second flow information including information for applying the third processing to the data input by the server from the gateway, and generates, from the first flow information, the second flow information including information for applying the first processing to the data input by the gateway and thereafter applying the second processing.
Abstract:
A gateway device is wirelessly connected to a mobile device and a control device that is connected to the gateway device and controls the mobile device. The mobile device reports a completion report indicating completion of a movement work according to a movement control instruction from the control device, and wherein the control device includes a work control unit that transmits the movement control instruction to the mobile device. It is determined whether or not a failure has occurred in communication between the control device and the gateway device, and it is determined whether or not the movement control instruction executed by the mobile device passes through the gateway device in which the failure determined by the failure detection unit has occurred, and stops transmission of the movement control instruction of passing through the gateway device in which the failure has occurred to the mobile device.
Abstract:
a management apparatus is capable of more precisely distributing the load in redundant system reconstruction. The management apparatus is configured to detect a data migration instruction to migrate data of any one of plurality of data processing units; identify a plurality of groups that a plurality of operational data clusters stored by the any one of the plurality of data processing units belong to; identify a plurality of data processing units corresponding to each group; and change a redundant data cluster of the same group as an operational data cluster stored by the any one of the plurality of data processing units to an operational data cluster.
Abstract:
A scale-out of a gateway server is realized according to a rapid increase in communication volume, without incurring system down. A high-quality communication is provided to priority users even during scaling out the gateway server. A high-quality communication is continuously provided to priority users without incurring the system down even if the scale-out/in of the gateway server is repeated. A bandwidth control apparatus transmits packets to plural virtual nodes equipped in a server device, reads the packets from any high priority queue and any low priority queue which are associated with the subject apparatus, and limits the packets to an upper limit bandwidth determined for each of the virtual nodes, and changes association of the high priority queues and the low priority queues with the virtual node bandwidth limiters according to an instruction from the control server for determining the scale-out/in of the virtual node.
Abstract:
A method for optimizing communication resource. The method may include substituting, by a processor, previous production line states associated with at least one production line to a default null state; and performing iteratively, by the processor: accessing production line information to obtain current production line state associated with the at least one production line; for each of the at least one production line: determining if previous production line state matches current production line state, for previous production line state not matching current production line state: accessing device information to retrieve IP address list of devices associated with production line, accessing quality of service (QOS) association information to retrieve QoS level for each of the devices, and creating pairings of IP address and QoS level in QoS configuration information for each device of the devices based on the IP address list and the QoS association information.
Abstract:
Example implementations described herein involve systems and methods that can involve detecting, from a device schedule indicating a schedule of a plurality of applications used by a plurality of mobile devices in a plurality of locations over a plurality of time slots, whether a bandwidth shortage will occur in each of the plurality of locations; and for detection that a bandwidth shortage will occur at a location in the plurality of locations, calculating a user priority of each of the plurality of applications on each of the plurality of devices at the location based on a bandwidth reduction efficiency and a staying time of the each of the plurality of devices at the location; and determining a bandwidth allocation for each application across the each device at the location and an edge server for managing one or more of the plurality of the applications based on the priority for use.