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Title: 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.
Authors:
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Publication Date:
OSTI Identifier:
1178877
Report Number(s):
PNNL-SA-102039
400470000
DOE Contract Number:
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Proceedings of Workshop on Data Analytics in the Cloud (DanaC'14), June 22-27, 2014, Snowbird, Utah, 1-4
Publisher:
Association for Computing Machinery, New York, NY, United States(US).
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
Graph database, federated database, data fusion, subgraph query, query optimization