Exemplary embodiments of the invention can include a method for identifying an individual component from among a plurality of components in a target system as an identified component of a plurality of identified components, mapping each one of the identified components to respective ones of a target hardware node, generating intermediate code for each respective one of the target hardware nodes, generating serialization code for each respective communication interface between the target hardware nodes, transmitting the respective intermediate codes to each one of the target hardware nodes, and transmitting respective serialization codes to each communication interface of the target hardware nodes.

When a repair problem exists in a case of a fully loaded partition, or when a feature of a terminal device needs to be expanded but there is no remaining space in a related partition, the terminal device may search for and download a patch file from a server, and a compressed empty device (loop) is used to expand the feature. In some conditions, the empty loop device and the fully loaded partition may be combined to form a new device. In some other conditions, based on a packaging technology in a disk block dimension, a changed file is repackaged in the disk block dimension.

A database stored electrical signatures of mounting points for generic modules within a vehicle model. Software for programming each mounting point is mapped to the mounting points. For a production unit of the vehicle model, generic modules are placed at the mounting points without being programmed to perform a specific function. The generic modules measure the electrical signature of the mounting point at which they are mounted. The generic modules then coordinate with a server to identify a matching electrical signature in the database and programming the generic modules with corresponding software for performing specific functions.

Implementations generally relate to a method of automatically generating applications for multiple platforms based on one source of application code. Implementations include receiving a signal from a client device to initiate an application generation process, for example, through a graphical user interface (GUI). In an implementation, the application generation process analyzes the application code to differentiate between core application code, which is shared between many platforms, and device-specific code, and then separates the core application code from the device-specific code. The core application code may then be deployed for use in a plurality of applications such as a web application, progressive web application, or, as taken together with device-specific code, as a native mobile application. Applications may be deployed with features that are automatically determined based on their deployment method and the feature set of each platform.

A method is described that inserts first and second deployment descriptors into an application archive file. The first deployment descriptor conforms to a first document type definition that is defined by a standard specification. The second deployment descriptor conforms to a second document type definition that is not defined by the standard specification. The second deployment descriptor has an element that is directed to a service that is an extension to the services offered by an environment described by the standard specification. The first and second deployment descriptors provide configuration information selected from the group consisting of: a) configuration information that pertains to the application as a whole; and, b) configuration information that pertains to a web application portion of the application.

A language information retention section retains working language information for specifying a user-selected working language in an information processing apparatus. A download processing section downloads application software into an auxiliary storage apparatus. The download processing section acquires a data region in the auxiliary storage apparatus as needed for an application body and language-dependent files for a working language before the start of an application software download, and then executes the application software download. In a case where the working language used by an application is changed, the download processing section confirms whether or not a data region for language-dependent files for the changed working language can be acquired in the auxiliary storage apparatus 2.

A method of application environment migration assesses a source application code of a source application environment, ascertains a quantum change for migrating the source application code to a target application code and forecasts an assessment statistic (302) that provides at least one functional readiness (304) and a timeline (306) to complete the migration of the source application code. Further, scans the source application code for identifying a business logic and generates a re-factored code for the source application code by breaking the source application code into macro-services (426a, . . . , 426n) and repackaging the macro-services (426a, . . . , 426n) in accordance with the target application code while retaining the business logic. Thereby, updating components of the source application environment as per the forecasted assessment statistic (302) and the re-factored code, and migrating to the target application environment while re-platforming the updated components and the re-factored code of the source application environment.

Various methods, apparatuses/systems, and media for implementing a smart cloud deployment module is disclosed. A datacenter stores information data of all availability zones (AZs) associated with deployment of an application. A processor builds an availability zone (AZ) application programming interface (API) and calls the AZ API to retrieve the information data from the datacenter; dynamically and automatically determines, in response to calling the AZ API, prior to deploying the application, whether a first AZ defined in a deployment pipeline among the AZs within the datacenter is healthy for deployment of the application; and deploys the application utilizing the deployment pipeline when it is determined that the first AZ defined in the deployment pipeline is healthy. The processor also checks for another healthy AZ within the same datacenter or within other regions outside of the datacenter when it is determined that the first AZ is not healthy.

Systems and methods associated with generating and/or maintaining resilient versions of application data usable by operationally distinct clusters are disclosed. In one embodiment, an exemplary method may comprise operating plural instances of a software application in a first cluster and a second cluster, assessing requirements of streaming architecture of both clusters that impact the instances' ability to process application data, creating at least two versions of the application including a main version in one cluster and a replica version for an operationally distinct cluster, automatically mirroring replica versions of the application data from each cluster into a distinct cluster for access and use by the software instance in the distinct cluster, and storing indexes for main and replica versions and all data that the software application requires to provide consistent responses in all such operationally distinct clusters.

An Internet of Things (IoT) gateway integrated into a real-time monitoring system for skid-mounted natural gas compression systems. The IoT gateway enables remote monitoring, troubleshooting, and diagnosing of natural gas compression systems by providing access to cellular and satellite communication networks for communicating operational data to one or more remote servers. The IoT gateway can be configured to select a communication network based on an order of priority and other various criteria. The order of priority and the selection criteria may be updated over the air. The IoT gateway can be further configured to receive and relay software and other updates to one or more components of the natural gas compression system. The IoT gateway is configured to meet various regulatory compliance standards and is explosion proof.