Runtime Integration Capability for Distributed Model Driven Applications

Abstract

Geographically distributed organizations face unique challenges to effectively implement shared information services across the enterprise. Traditional solutions require options such as establishing large centralized application and database servers, which simplifies some data integration issues but involves higher associated centralization risks with potential scalability limitations, or establishing multiple de-centralized application servers optionally arranged in hierarchical hubs, requiring significant customization and data migration functions to be developed, reducing the level of risk but incurring additional expenditure on data integration and transfer. Our ongoing development of a distributed temporal meta-data framework for Enterprise Information Systems (EIS) applications seeks to overcome these issues with the application logic model supporting the capability for direct integration with similar distributed application instances to readily provide: data replication, transfer, and transformations; centralized authorization and distribution of core identity data; sharing and deployment of modified logic model elements; and workflow integration between application instances.