Parasol: An Architecture for Cross-Cloud Federated Graph Querying
Large scale data fusion of multiple datasets can often provide in- sights that examining datasets individually cannot. However, when these datasets reside in different data centers and cannot be collocated due to technical, administrative, or policy barriers, a unique set of problems arise that hamper querying and data fusion. To ad- dress these problems, a system and architecture named Parasol is presented that enables federated queries over graph databases residing in multiple clouds. Parasol’s design is flexible and requires only minimal assumptions for participant clouds. Query optimization techniques are also described that are compatible with Parasol’s lightweight architecture. Experiments on a prototype implementation of Parasol indicate its suitability for cross-cloud federated graph queries.
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- Conference: Proceedings of Workshop on Data Analytics in the Cloud (DanaC'14), June 22-27, 2014, Snowbird, Utah, 1-4
- Association for Computing Machinery, New York, NY, United States(US).
- Research Org:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
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- Country of Publication:
- United States
- Graph database, federated database, data fusion, subgraph query, query optimization