LARGE-SCALE LINKED DATA PROCESSING - Cloud Computing to the Rescue?
Michael Hausenblas, Robert L. Grossman, Andreas Harth, Philippe Cudré-Mauroux
Abstract
Michael Hausenblas, Robert L. Grossman, Andreas Harth, Philippe Cudré-Mauroux
Abstract
Processing large volumes of Linked Data requires sophisticated methods and tools. In the recent years we have mainly focused on systems based on relational databases and bespoke systems for Linked Data processing. Cloud computing offerings such as SimpleDB or BigQuery, and cloud-enabled NoSQL systems including Cassandra or CouchDB as well as frameworks such as Hadoop offer appealing alternatives along with great promises concerning performance, scalability and elasticity. In this paper we state a number of Linked Dataspecific requirements and review existing cloud computing offerings as well as NoSQL systems that may be used in a cloud computing setup, in terms of their applicability and usefulness for processing datasets on a large-scale.
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Processing large volumes of Linked Data requires sophisticated methods and tools. In the recent years we have mainly focused on systems based on relational databases and bespoke systems for Linked Data processing. Cloud computing offerings such as SimpleDB or BigQuery, and cloud-enabled NoSQL systems including Cassandra or CouchDB as well as frameworks such as Hadoop offer appealing alternatives along with great promises concerning performance, scalability and elasticity. In this paper we state a number of Linked Dataspecific requirements and review existing cloud computing offerings as well as NoSQL systems that may be used in a cloud computing setup, in terms of their applicability and usefulness for processing datasets on a large-scale.
Key concepts: NoSQL, Cloud computing, Bespoke, Computer science, Scalability, Elasticity (physics), Distributed computing, Database