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Title: Parasol: An Architecture for Cross-Cloud Federated Graph Querying

Abstract

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:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
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
Country of Publication:
United States
Language:
English
Subject:
Graph database, federated database, data fusion, subgraph query, query optimization

Citation Formats

Lieberman, Michael, Choudhury, Sutanay, Hughes, Marisa, Patrone, Dennis, Hider, Sandy, Piatko, Christine, Chapman, Matthew, Marple, JP, and Silberberg, David. Parasol: An Architecture for Cross-Cloud Federated Graph Querying. United States: N. p., 2014. Web. doi:10.1145/2627770.2627771.
Lieberman, Michael, Choudhury, Sutanay, Hughes, Marisa, Patrone, Dennis, Hider, Sandy, Piatko, Christine, Chapman, Matthew, Marple, JP, & Silberberg, David. Parasol: An Architecture for Cross-Cloud Federated Graph Querying. United States. https://doi.org/10.1145/2627770.2627771
Lieberman, Michael, Choudhury, Sutanay, Hughes, Marisa, Patrone, Dennis, Hider, Sandy, Piatko, Christine, Chapman, Matthew, Marple, JP, and Silberberg, David. 2014. "Parasol: An Architecture for Cross-Cloud Federated Graph Querying". United States. https://doi.org/10.1145/2627770.2627771.
@article{osti_1178877,
title = {Parasol: An Architecture for Cross-Cloud Federated Graph Querying},
author = {Lieberman, Michael and Choudhury, Sutanay and Hughes, Marisa and Patrone, Dennis and Hider, Sandy and Piatko, Christine and Chapman, Matthew and Marple, JP and Silberberg, David},
abstractNote = {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.},
doi = {10.1145/2627770.2627771},
url = {https://www.osti.gov/biblio/1178877}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 22 00:00:00 EDT 2014},
month = {Sun Jun 22 00:00:00 EDT 2014}
}

Conference:
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