A formal model of crash recovery in a distributed system
Concurrency control and reliability in distributed systems
Communications of the ACM
Scaling Access to Heterogeneous Data Sources with DISCO
IEEE Transactions on Knowledge and Data Engineering
A Quorum-Based Commit Protocol
A Quorum-Based Commit Protocol
Vivaldi: a decentralized network coordinate system
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Querying the internet with PIER
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Using OGSA-DQP to support scientific applications for the grid
SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers
Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII
Dynamic Query Processing for P2P Data Services in the Cloud
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
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Many applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. The key constraints for building a distributed data query infrastructure for such applications are: scalability, consistency, heterogeneity and network and resource dynamics. We designed and developed DObjects, a general-purpose query and data operations infrastructure that can be integrated with metacomputing middleware. This paper describes the architecture of our data services and shows how those services were integrated with the metacomputing framework offering users an open platform for building distributed applications that require access to data integrated from multiple distributed data sources.