Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: A method and system for extending the capabilities of resource-constrained embedded devices by leveraging the memory and processing resources of clients such as web browsers (‘clients’) installed on host computational devices (‘host computers’). The embedded device delegates computational tasks such as generation of content (e.g., user interfaces, reports, configuration files, etc.) to clients and acts as a simple file and data server. The embedded device provides static resource files to each client, including static template files and a client processing engine.

Abstract: A method and system for extending the capabilities of resource-constrained embedded devices by leveraging the memory and processing resources of clients such as web browsers (‘clients’) installed on host computational devices (‘host computers’). The embedded device delegates computational tasks such as generation of content (e.g., user interfaces, reports, configuration files, etc.) to clients and acts as a simple file and data server. The embedded device provides static resource files to each client, including static template files and a client processing engine.

Abstract: A method and system for extending the capabilities of resource-constrained embedded devices by leveraging the memory and processing resources of clients such as web browsers (“clients”) installed on host computational devices (“host computers”). The embedded device delegates computational tasks such as generation of content (e.g., user interfaces, reports, configuration files, etc.) to clients and acts as a simple file and data server. The embedded device provides static resource files to each client, including static template files and a client processing engine.

Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: A method and system for extending the capabilities of resource-constrained embedded devices by leveraging the memory and processing resources of clients such as web browsers (“clients”) installed on host computational devices (“host computers”). The embedded device delegates computational tasks such as generation of content (e.g., user interfaces, reports, configuration files, etc.) to clients and acts as a simple file and data server. The embedded device provides static resource files to each client, including static template files and a client processing engine.