Norman W. Paton, Óscar Díaz · ACM Computing Surveys · 1999
Active database systems support mechanisms that enable them to respond automatically to events that are taking place either inside or outside the database system itself. Considerable effort has been directed towards improving understanding of such systems in recent years, and many different proposals have been made and applications suggested. This high level of activity has not yielded a single agreed-upon standard approach to the integration of active functionality with conventional database systems, but has led to improved understanding of active behavior description languages, execution models, and architectures. This survey presents the fundamental characteristics of active database systems, describes a collection of representative systems within a common framework, considers the consequences for implementations of certain design decisions, and discusses tools for developing active applications.
Cited by 565Open access
AnnMarie Ericsson, Mikael Berndtsson, Jonas Mellin · Encyclopedia of Database Systems · 2009
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Mikael Berndtsson, Jonas Mellin · Encyclopedia of Database Systems · 2009
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Jack Williams, Luke Wedmore, Christopher A. Scholz et al. · Zenodo (CERN European Organization for Nuclear Research) · 2021
First release of the Malawi Active Fault Database (MAFD) associated with a publication in review with the journal Geochemistry, Geophysics and Geosystems. To reference this database please refer to the latest release of the dataset on Github and Zenodo and please also cite: Williams, J. N., Wedmore, L. N. J., Scholz, C. A., Kolawole, F., Wright, L. J. M., Shillington, D., Fagereng, Å., Biggs, J., Mdala, H., Dulanya, Z., Mphepo, F., Chindandali, P. R. N., Werner, M. J. (2022), The Malawi Active Fault Database: an onshore-offshore database for regional assessment of seismic hazard and tectonic evoultion. _Geochemistry, Geophysics, Geosystems_, 23(5), e2022GC010425. https://doi.org/10.1029/2022GC010425 For full details of the database, please refer to the journal article above.
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Mikael Berndtsson, Jonas Mellin · Encyclopedia of Database Systems · 2009
Cited by 2
SpringerReference · 2011
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SpringerReference · 2011
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Umeshwar Dayal · Elsevier eBooks · 1988
Cited by 200
Jack Williams, Luke Wedmore, Christopher A. Scholz et al. · Explore Bristol Research · 2021
First release of the Malawi Active Fault Database (MAFD) associated with a publication in review with the journal Geochemistry, Geophysics and Geosystems. To reference this database please refer to the latest release of the dataset on Github and Zenodo and please also cite: Williams, J. N., Wedmore, L. N. J., Scholz, C. A., Kolawole, F., Wright, L. J. M., Shillington, D., Fagereng, Å., Biggs, J., Mdala, H., Dulanya, Z., Mphepo, F., Chindandali, P. R. N., Werner, M. J. (2022), The Malawi Active Fault Database: an onshore-offshore database for regional assessment of seismic hazard and tectonic evoultion. _Geochemistry, Geophysics, Geosystems_, 23(5), e2022GC010425. https://doi.org/10.1029/2022GC010425 For full details of the database, please refer to the journal article above.
Cited by 6Open access
Mikael Berndtsson, Jonas Mellin · Encyclopedia of Database Systems · 2017
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Mikael Berndtsson, Jonas Mellin · Encyclopedia of Database Systems · 2017
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Mikael Berndtsson, Jonas Mellin · Encyclopedia of Database Systems · 2017
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Xiang Gao, Tzi‐cker Chiueh · 2016
Database clustering is a well-established technology to improve the availability and scalability of a database service. Query replication and log replication are two popular methods for propagating database updates across a cluster of database servers. An important issue that received relatively scant attention and is the focus of this paper is how to add a new server to an active-active database cluster with minimum service disruption while maximizing the cluster's request processing concurrency during run time. Even though log replication allows attaching a new database server without stopping the attached database cluster's service, the asynchronous nature of its operation is incompatible with active-active clusters, where every cluster node is designed to share the load of servicing incoming read query queries. In contrast, query replication is synchronous and thus could readily support active-active clustering, but most existing query replication implementations need to halt a cluster's service when attaching a new server. In this paper, we present a database resynchronization scheme that achieves the best of both worlds: leveraging log replication to minimize the service disruption time associated with addition of new servers, while applying query replication during run time to maximize the parallelism of read query processing, and demonstrate its effectiveness in a product-grade database engine, PostgreSQL.
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Lane Bradley Warshaw · 2001
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Jonas Mellin, Mikael Berndtsson · Encyclopedia of Database Systems · 2017
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Jonas Mellin, Mikael Berndtsson · Encyclopedia of Database Systems · 2018
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Richard Styron, Marco Pagani · 2018
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Solmaz Mohadjer, Todd A. Ehlers, Najibullah Kakar · 2014
The ongoing collision of the Indian subcontinent with Asia controls active tectonics and seismicity in Central Asia. This motion is accommodated by faults that have historically caused devastating earthquakes and continue to pose serious threats to the population at risk. Despite international and regional efforts to assess seismic hazards in Central Asia, little attention has been given to development of a comprehensive database for active faults in the region. To address this issue and to better understand the distribution and level of seismic hazard in Central Asia, we are developing a publically available database for active faults of Central Asia (including but not limited to Afghanistan, Tajikistan, Kyrgyzstan, northern Pakistan and western China) using ArcGIS. The database is designed to allow users to store, map and query important fault parameters such as fault location, displacement history, rate of movement, and other data relevant to seismic hazard studies including fault trench locations, geochronology constraints, and seismic studies. Data sources integrated into the database include previously published maps and scientific investigations as well as strain rate measurements and historic and recent seismicity. In addition, high resolution Quickbird, Spot, and Aster imagery are used for selected features to locate and measure offset of landforms associated with Quaternary faulting. These features are individually digitized and linked to attribute tables that provide a description for each feature. Preliminary observations include inconsistent and sometimes inaccurate information for faults documented in different studies. For example, the Darvaz-Karakul fault which roughly defines the western margin of the Pamir, has been mapped with differences in location of up to 12 kilometers. The sense of motion for this fault ranges from unknown to thrust and strike-slip in three different studies despite documented left-lateral displacements of Holocene and late Pleistocene landforms observed near the fault trace.
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Lubomir Bic, Robert L. Hartmann · 1983
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Paul Swoboda, John Plaice · UNSWorks (UNSW Sydney) · 2004
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