Research on Optimization of SDO with Cache Mechanism

Abstract

The Service Data Object (SDO) is one of the most promising data integration frameworks of the enterprise application area. SDO provides us with a unified and mature programming framework for SOA based development to handle heterogeneous data sources. Separation of data accessing from the SDO API is more flexible while makes the characteristics of performance less noticed. Therefore we here study the optimization of SDO technology by employing specially designed cache mechanism. Particularly we pay special attention to the structured query processing, replacement strategy, and consistency management.