Parallel database systems: the future of database processing or a passing fad?
ACM SIGMOD Record - Directions for future database research & development
On the allocation of documents in multiprocessor information retrieval systems
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Inverted File Partitioning Schemes in Multiple Disk Systems
IEEE Transactions on Parallel and Distributed Systems
Information storage and retrieval
Information storage and retrieval
Query performance for tightly coupled distributed digital libraries
Proceedings of the third ACM conference on Digital libraries
Inverted files versus signature files for text indexing
ACM Transactions on Database Systems (TODS)
Modern Information Retrieval
The indexable web is more than 11.5 billion pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Load balancing for term-distributed parallel retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Text Information Retrieval Systems, Third Edition (Library and Information Science) (Library and Information Science)
High-performance distributed inverted files
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Introduction to Information Retrieval
Introduction to Information Retrieval
Improving the load balance for hybrid partitioning scheme by directing hybrid queries
PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
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Grid information retrieval (GIR) means using a grid system for retrieving relevant documents that satisfy the user need from within a large-scale data collection. A data collection can be text, audio, video, etc. The grid provides powerful computation while information retrieval provides techniques for retrieving useful information. In previous work, we built our baseline system and we compared three types of IR systems, namely document-based, term-based and hybrid partitioning with respect to average query response time. In addition, we proposed new methods for improving the load balance and query throughput for term-based and hybrid partitioning. We carried out a set of real experiments using a broker and six nodes. In this paper, we propose to repeat our previous experiments using the grid as a new IR environment.