Performance issues in distributed shared-nothing information-retrieval systems
Many information-retrieval systems provides access to abstracts. For example, Stanford University, through its FOLIO system, provides access to the INSPEC database of abstracts of the literature on physics, computer science, electrical engineering, etc. In this article, this database is studied by u...
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| Veröffentlicht in: | Information processing & management 1996-11, Vol.32 (6), p.647-665 |
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| container_title | Information processing & management |
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| creator | Tomasic, Anthony Garcia-Molina, Hector |
| description | Many information-retrieval systems provides access to abstracts. For example, Stanford University, through its FOLIO system, provides access to the INSPEC database of abstracts of the literature on physics, computer science, electrical engineering, etc. In this article, this database is studied by using a trace-driven simulation. It focuses on a physical-index design that accommodates truncations, inverted-index caching, and database scaling in a distributed shared-nothing system. All three issues are shown to have a strong effect on response time and throughput. Database scaling is explored in two ways. One way assumes an “optimal” configuration for a single host and then linearly scales the database by duplicating the host architecture as needed. The second way determines the optimal number of hosts given a fixed database size. |
| doi_str_mv | 10.1016/S0306-4573(96)00019-2 |
| format | Article |
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| identifier | ISSN: 0306-4573 |
| ispartof | Information processing & management, 1996-11, Vol.32 (6), p.647-665 |
| issn | 0306-4573 1873-5371 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Abstracts Bibliographic Records Computer Simulation Distributed Computing Distributed processing Evaluation Exact sciences and technology FOLIO Higher Education Indexes Information and communication sciences Information Retrieval Information retrieval systems Information retrieval systems. Information and document management system Information science. Documentation Information systems INSPEC Inverted Files Local Area Networks Online data bases Online databases Performance Factors Query Processing Science and technology Sciences and techniques of general use Stanford University CA Studies Trace drive simulation |
| title | Performance issues in distributed shared-nothing information-retrieval systems |
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