Reliable Storage and Querying for Collaborative Data Sharing Systems

The sciences, business confederations, and medicine urgently need infrastructure for sharing data and updates among collaborators' constantly changing, heterogeneous databases. The ORCHESTRA system addresses these needs by providing data transformation and exchange capabilities across DBMSs, combined with archived storage of all database versions. ORCHESTRA adopts a peer-to-peer architecture in which individual collaborators contribute data and compute resources, but where there may be no dedicated server or compute cluster. We study how to take the combined resources of ORCHESTRA's autonomous nodes, as well as PCs from "cloud" services such as Amazon EC2, and provide reliable, cooperative storage and query processing capabilities. We guarantee reliability and correctness as in distributed or cloud DBMSs, while also supporting cross-domain deployments, replication, and transparent failover, as provided by peer-to-peer systems. Our storage and query subsystem support...

• Type: Conference
• Year: 2010
• Where: ICDE
• Authors: Nicholas E. Taylor, Zachary G. Ives
• Keywords: Database, ICDE 2010, Query Processing Capabilities, Query Processing Performance, Query Subsystem