Distributed indexing of web scale datasets for the cloud
Year: 2010
Type: conference-paper
Abstract: In this paper, we present a distributed architecture for indexing and serving large and diverse datasets. It incorporates and extends the functionality of Hadoop, the open source MapReduce framework, and of HBase, a distributed, sparse, NoSQL database, to create a fully parallel indexing system. Experiments with structured, semi-structured and unstructured data of various sizes demonstrate the flexibility, speed and robustness of our implementation and contrast it with similarly oriented projects. Our 11 node cluster prototype managed to keep full-text indexing time of 150GB raw content in less than 3 hours, whereas the system's response time under sustained query load of more than 1000 queries/sec was kept in the order of milliseconds.
Institution: National Technical University of Athens
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Sixth Framework Programme
Award: G8881705538
OpenAlex ID: W2038879656
