The present disclosure discloses a remote control method for a washing machine, a washing machine and a mobile terminal in wireless connection with the washing machine are used, and the remote control method includes the following steps: a status feedback channel that is between the washing machine and the mobile terminal and that is configured to transmit a working status of the washing machine is established; a control request sent by the mobile terminal is received by the washing machine; and after an activation key disposed on the washing machine is activated, a control channel that is between the washing machine and the mobile terminal and that is configured to transmit a control instruction is established. The remote control method for a washing machine disclosed in the present disclosure, solves the safety problem of the remote control of the washing machine. The control channel that is between the washing machine and the mobile terminal and that is configured to transmit a control instruction can be established only when a person who controls the washing machine in advance pre-ensures that the washing machine is in a safe state or another person ensures that the washing machine is in a safe state, and further triggers the activation key, thereby implementing remote control of the washing machine. The remote control method of the present disclosure improves the running safety of the washing machine.

An apparatus and method for providing ML processing for one or more ML applications operating on one or more Internet of Things (IoT) devices includes receiving a ML request from an IoT device. The ML request can be generated by a ML application operating on the IoT device and include input data collected by the first ML application. A ML model to perform ML processing of the input data included in the ML request is identified and provided to an ML core for ML processing along with the input data included in the first ML request. The ML core produces ML processing output data based on ML processing by the ML core of input data included in the ML request using the ML model. The ML processing output data can be transmitted to the IoT device.

An analytics server receives from client computing devices end-user events. Each client computing device is operated by an end-user to access an application at a web server based on the end-user events resulting in calls being passed through a proxy to the web server. The analytics server receives from the proxy the calls being made to the web server, and receives return responses from the web server being passed through the proxy. The return responses correspond to activities being performed within the application. The end-user events are correlated with the corresponding calls and return responses from the proxy. Respective correlated end-user events, calls and return responses are translated into respective event vectors. The respective event vectors are processed to determine similarities among the client computing devices. The similar activities are associated with a quality indicator to identify anomalies within the application for corrective action to be taken.

An analytics server receives from client computing devices end-user events. Each client computing device is operated by an end-user to access an application at a web server based on the end-user events resulting in calls being passed through a proxy to the web server. The analytics server receives from the proxy the calls being made to the web server, and receives return responses from the web server being passed through the proxy. The return responses correspond to activities being performed within the application. The end-user events are correlated with the corresponding calls and return responses from the proxy. Respective correlated end-user events, calls and return responses are translated into respective event vectors. The respective event vectors are processed to determine similarities among the client computing devices. The similar activities are associated with a quality indicator to identify anomalies within the application for corrective action to be taken.

A multitenant infrastructure server (MTIS) is configured to provide an environment to execute a computer routine of an arbitrary application. The MTIS receives a request from a webtask server to execute the computer routine in a webtask container. The computer routine is executed in the webtask container at the MTIS. Upon successful execution of the computer routine, a result set is returned to the webtask server. If the execution of the computer routine is unsuccessful, an error notification is returned to the webtask server. The resources consumed during the execution of the computer routine are determined. The webtask container is destroyed to prevent persistent storage of the computer routine on the MTIS.

A method, computer system, and computer program product are provided for modifying a web application at runtime. A single-page web application is loaded by a web browser of a client, wherein the single-page web application exchanges data between the client and a server. An extension for the single-page web application is obtained. The extension is applied to the single-page web application, wherein applying the extension adds a new feature, or modifies an existing feature, of the single-page web application without reloading the single-page web application.

A method, computer system, and computer program product are provided for modifying a web application at runtime. A single-page web application is loaded by a web browser of a client, wherein the single-page web application exchanges data between the client and a server. An extension for the single-page web application is obtained. The extension is applied to the single-page web application, wherein applying the extension adds a new feature, or modifies an existing feature, of the single-page web application without reloading the single-page web application.

A printer includes a communication interface and a controller. The controller is configured to: in response to determining that an access condition is satisfied, acquire access information, access a server via the communication interface based on the acquired access information, and receive instruction data transmitted from the server, the instruction data being data indicating a process, the instruction data being configured to indicate data used in the printer; and in response to determining that the received instruction data is instruction data indicating a download setup process and that the received instruction data indicates setup data used for the download setup process, execute the download setup process, the download setup process being a process of downloading, via the communication interface, the setup data indicated in the instruction data and setting up the printer by using the downloaded setup data.

A printer includes a communication interface and a controller. The controller is configured to: in response to determining that an access condition is satisfied, acquire access information, access a server via the communication interface based on the acquired access information, and receive instruction data transmitted from the server, the instruction data being data indicating a process, the instruction data being configured to indicate data used in the printer; and in response to determining that the received instruction data is instruction data indicating a download setup process and that the received instruction data indicates setup data used for the download setup process, execute the download setup process, the download setup process being a process of downloading, via the communication interface, the setup data indicated in the instruction data and setting up the printer by using the downloaded setup data.

Disclosed herein are system, method, and computer program product embodiments for determining monitoring compliance for an enterprise application deployed on an application delivery platform. Existing resources, monitors and alerts are discovered with gaps in monitoring being calculated based on a comparison of monitoring objectives and the existing monitors and alerts. Gaps in monitoring are reported in a GUI reflecting effectiveness of existing monitors.