Adaptable cache service and application to grid caching

Abstract

Caching is an important element to tackle performance issues in largely distributed data management. However, caches are efficient only if they are well configured according to the context of use. As a consequence, they are usually built from scratch. Such an approach appears to be expensive and time consuming in grids where the various characteristics lead to many heterogeneous cache requirements. This paper proposes a framework facilitating the construction of sophisticated and dynamically adaptable caches for heterogeneous applications. Such a framework has enabled the evaluation of several configurations for distributed data querying systems and leads us to propose innovative approaches for semantic and cooperative caching. This paper also reports the results obtained in bioinformatics data management on grids showing the relevance of our proposals.

Optimized data management for e-learning in the clouds towards Cloodle

“…Using a cache framework, such as ACS [17], GOD data management system will rely on tunable semantic caches, particularly, two adaptable main functionalities: query analysis and query evaluation. Query analysis refers to the semantic process of comparing submitted query with the content of the cache to deduce semantic overlap or mismatch, and identifies one or more cache entries to be used to answer a submitted query.…”