Techniques for representing a native function using an executable reference are disclosed. The system receives an instruction to create an executable reference for a native function, including a method type comprising a method signature corresponding to the executable reference, and a function description including (a) a memory layout corresponding to data returned by the function and (b) memory layouts corresponding to parameters required by the function. The system selects an application binary interface (ABI). The system generates code that, for each parameter, of the one or more parameters required by the function, converts the parameter from a value formatted for use by a Java Virtual machine to a value formatted for use in the native function, based on the selected ABI. Responsive to invocation of the executable reference, the generated code and the native function may be executed.

Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

Techniques for representing a native function using an executable reference are disclosed. The system receives an instruction to create an executable reference for a native function, including a method type comprising a method signature corresponding to the executable reference, and a function description including (a) a memory layout corresponding to data returned by the function and (b) memory layouts corresponding to parameters required by the function. The system selects an application binary interface (ABI). The system generates code that, for each parameter, of the one or more parameters required by the function, converts the parameter from a value formatted for use by a Java Virtual machine to a value formatted for use in the native function, based on the selected ABI. Responsive to invocation of the executable reference, the generated code and the native function may be executed.

In order to improve colour quality control of paint coatings, described herein is a colour quality control server that is configured to provide a software distribution model, i.e. Software as a Service (SaaS). With the colour quality control server, the capability provided to a user is to use a collection of (web-)services which are responsible for web-based colour quality control running on a cloud infrastructure. These (web-)services are accessible from various client devices through a thin client interface such as a web browser, a mobile app, or a desktop app.

In some embodiments, a hardware simulation computing system is provided. The hardware simulation computing system is configured to provide audio signals from a low-performance audio device as input to a machine learning model capable of exhibiting temporal dynamic behavior; to update the machine learning model based on a comparison of outputs of the machine learning model to ground truth audio signals from a high-performance audio device; and to repeat the providing and updating actions until a completion threshold is reached to create a trained machine learning model.

The technical solutions relate to the technical field of compilation of applications, and particularly to the technical field of mini programs. A developer tool constructs a first compilation result of the hosted APP before compilation optimization and a second compilation result of the hosted APP after the compilation optimization respectively based on a source code of the hosted APP, and uploads them to a management platform. The management platform sends the corresponding compilation results according to environment data of the hosted APP running environment provided by the host APP, so that the host APP uses the hosted APP running environment provided by the host APP to run the obtained compilation result.

Disclosed herein are methods, systems, and processes to perform self-dependent upgrades of Java Runtime Environments (JREs). A request to update a plugin to a new version with a new configuration that includes a location to download a new upgrader-executable is received from a platform computing device at an endpoint computing device. The plugin is uploaded to the new version. The new upgrader-executable that includes an executable with an executable table executed by the plugin is downloaded from the location. The executable is used to halt execution of a JRE application (e.g., a Collector) and download JRE files required for the upgrade. The JRE application (e.g., the Collector) is then re-started with the new configuration, which can be rolled back if the upgrade is unsuccessful.

A method and system for managing execution of a local craft terminal application on a local computer system comprising accessing one of the plurality of remote network elements and obtaining therefrom a launcher application program configured to manage execution of the local craft terminal application on the local computer system, launching the launcher application program on the local computer system and determining, using the launcher application program, whether the local computer system contains an appropriate copy of the local craft terminal application, and if the local computer system does not contain the appropriate copy of the local craft terminal application, obtaining the appropriate copy of the local craft terminal application from the first one of the plurality of remote network elements.

A computerized technique for program simplification and specialization combines a partial interpretation of the program based on a subset of program functions to obtain variable states with concrete values at a program “neck.” These concrete values are then propagated as part of an optimization transformation that simplifies the program based on these constant values, for example, by eliminating branches that are never taken based on the constant values.

A method comprising receiving data associated with a business, the data comprising first values for first attributes; processing the data, in accordance with a common data attribute schema that indicates second attributes, to generate second values for at least some of the second attributes including a group of attributes, the second values including a group of attribute values for the group of attributes; identifying, using the common data attribute schema and from among pre-existing software codes, software code implementing an ML data processing pipeline configured to generate a group of feature values; processing the group of attribute values with the software code to obtain the group of feature values; and either providing the group of feature values as inputs to a machine learning (ML) model for generating corresponding ML model outputs, or using the group of feature values to train the ML model.