A Directory Service for Configuring High-Performance Distributed Computations
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
Scalable, Efficient Range Queries for Grid Information Services
P2P '02 Proceedings of the Second International Conference on Peer-to-Peer Computing
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
MAAN: A Multi-Attribute Addressable Network for Grid Information Services
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Brief announcement: prefix hash tree
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
Mercury: supporting scalable multi-attribute range queries
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
NodeWiz: peer-to-peer resource discovery for grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Querying the internet with PIER
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Brushwood: distributed trees in peer-to-peer systems
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Automatic grid assembly by promoting collaboration in peer-to-peer grids
Journal of Parallel and Distributed Computing
Predicting the Quality of Service of a Peer-to-Peer Desktop Grid
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
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Large scale grid systems may provide multitudinous services, from different providers, whose quality of service will vary. Moreover, services appear (and disappear) in the grid with no central coordination. Thus, to find out the most suitable service to fulfill their needs, grid users must resort to Grid Information Services (GISs). These services allow users to submit rich queries that are normally composed of multiple attributes and range operations. The ability to efficiently execute complex searches in a scalable and reliable way is a key challenge for current GISs. Scalability issues are normally dealt with by using peer-to-peer technologies. However, the more reliable peer-to-peer approaches do not cater for rich queries in a natural way. On the other hand, approaches that can easily support these rich queries axe less robust in the presence of faults. In this paper we focus on peer-to-peer GISs that efficiently support rich queries. In particular, we thoroughly analyze the impact of faults in one representant of such GISs, named NodeWiz. We propose extensions that increase NodeWiz's resilience to faults.