Abstract
The paper presents a comparative analysis of data harvesting
and distributed computing as complementary models of service delivery within large-scale federated digital libraries. Informed by requirements of flexibility and scalability of federated services, the analysis focuses on the identification and assessment of model invariants. In particular, it abstracts over application domains, services, and protocol implementations. The analytical evidence produced shows that the harvesting model offers
stronger guarantees of satisfying the identified requirements. In addition, it suggests a first characterisation of services based on their suitability
to either model and thus indicates how they could be integrated in the context of a single federated digital library.
| Original language | English |
|---|---|
| Pages (from-to) | 389-399 |
| Number of pages | 11 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3232 |
| DOIs | |
| Publication status | Published - 2004 |
Keywords
- service delivery
- data harvesting
- digital libraries
- protocol implementations
- metadata
- repositories
- Open Access