The Experts below are selected from a list of 2763 Experts worldwide ranked by ideXlab platform
Angela Demke Brown - One of the best experts on this subject based on the ideXlab platform.
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jackpine a benchmark to evaluate spatial Database Performance
International Conference on Data Engineering, 2011Co-Authors: Suprio Ray, Bogdan Simion, Angela Demke BrownAbstract:The volume of spatial data generated and consumed is rising exponentially and new applications are emerging as the costs of storage, processing power and network bandwidth continue to decline. Database support for spatial operations is fast becoming a necessity rather than a niche feature provided by a few products. However, the spatial functionality offered by current commercial and open-source relational Databases differs significantly in terms of available features, true geodetic support, spatial functions and indexing. Benchmarks play a crucial role in evaluating the functionality and Performance of a particular Database, both for application users and developers, and for the Database developers themselves. In contrast to transaction processing, however, there is no standard, widely used benchmark for spatial Database operations. In this paper, we present a spatial Database benchmark called Jackpine. Our benchmark is portable (it can support any Database with a JDBC driver implementation) and includes both micro benchmarks and macro workload scenarios. The micro benchmark component tests basic spatial operations in isolation; it consists of queries based on the Dimensionally Extended 9-intersection model of topological relations and queries based on spatial analysis functions. Each macro workload includes a series of queries that are based on a common spatial data application. These macro scenarios include map search and browsing, geocoding, reverse geocoding, flood risk analysis, land information management and toxic spill analysis. We use Jackpine to evaluate the spatial features in 2 open source Databases and 1 commercial offering.
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ICDE - Jackpine: A benchmark to evaluate spatial Database Performance
2011 IEEE 27th International Conference on Data Engineering, 2011Co-Authors: Suprio Ray, Bogdan Simion, Angela Demke BrownAbstract:The volume of spatial data generated and consumed is rising exponentially and new applications are emerging as the costs of storage, processing power and network bandwidth continue to decline. Database support for spatial operations is fast becoming a necessity rather than a niche feature provided by a few products. However, the spatial functionality offered by current commercial and open-source relational Databases differs significantly in terms of available features, true geodetic support, spatial functions and indexing. Benchmarks play a crucial role in evaluating the functionality and Performance of a particular Database, both for application users and developers, and for the Database developers themselves. In contrast to transaction processing, however, there is no standard, widely used benchmark for spatial Database operations. In this paper, we present a spatial Database benchmark called Jackpine. Our benchmark is portable (it can support any Database with a JDBC driver implementation) and includes both micro benchmarks and macro workload scenarios. The micro benchmark component tests basic spatial operations in isolation; it consists of queries based on the Dimensionally Extended 9-intersection model of topological relations and queries based on spatial analysis functions. Each macro workload includes a series of queries that are based on a common spatial data application. These macro scenarios include map search and browsing, geocoding, reverse geocoding, flood risk analysis, land information management and toxic spill analysis. We use Jackpine to evaluate the spatial features in 2 open source Databases and 1 commercial offering.
Ma Zhaofeng - One of the best experts on this subject based on the ideXlab platform.
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Strategy for Database Performance Optimization in Information Integration System
Computer Engineering, 2003Co-Authors: Ma ZhaofengAbstract:On the study of the mode and mechanism of Database application, an optimal strategy is proposed in the paper to improve the Database Performance in application service level, and the simulating results manifest the strategy is effective, valid for multi-tier, distributed application.
Suprio Ray - One of the best experts on this subject based on the ideXlab platform.
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jackpine a benchmark to evaluate spatial Database Performance
International Conference on Data Engineering, 2011Co-Authors: Suprio Ray, Bogdan Simion, Angela Demke BrownAbstract:The volume of spatial data generated and consumed is rising exponentially and new applications are emerging as the costs of storage, processing power and network bandwidth continue to decline. Database support for spatial operations is fast becoming a necessity rather than a niche feature provided by a few products. However, the spatial functionality offered by current commercial and open-source relational Databases differs significantly in terms of available features, true geodetic support, spatial functions and indexing. Benchmarks play a crucial role in evaluating the functionality and Performance of a particular Database, both for application users and developers, and for the Database developers themselves. In contrast to transaction processing, however, there is no standard, widely used benchmark for spatial Database operations. In this paper, we present a spatial Database benchmark called Jackpine. Our benchmark is portable (it can support any Database with a JDBC driver implementation) and includes both micro benchmarks and macro workload scenarios. The micro benchmark component tests basic spatial operations in isolation; it consists of queries based on the Dimensionally Extended 9-intersection model of topological relations and queries based on spatial analysis functions. Each macro workload includes a series of queries that are based on a common spatial data application. These macro scenarios include map search and browsing, geocoding, reverse geocoding, flood risk analysis, land information management and toxic spill analysis. We use Jackpine to evaluate the spatial features in 2 open source Databases and 1 commercial offering.
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ICDE - Jackpine: A benchmark to evaluate spatial Database Performance
2011 IEEE 27th International Conference on Data Engineering, 2011Co-Authors: Suprio Ray, Bogdan Simion, Angela Demke BrownAbstract:The volume of spatial data generated and consumed is rising exponentially and new applications are emerging as the costs of storage, processing power and network bandwidth continue to decline. Database support for spatial operations is fast becoming a necessity rather than a niche feature provided by a few products. However, the spatial functionality offered by current commercial and open-source relational Databases differs significantly in terms of available features, true geodetic support, spatial functions and indexing. Benchmarks play a crucial role in evaluating the functionality and Performance of a particular Database, both for application users and developers, and for the Database developers themselves. In contrast to transaction processing, however, there is no standard, widely used benchmark for spatial Database operations. In this paper, we present a spatial Database benchmark called Jackpine. Our benchmark is portable (it can support any Database with a JDBC driver implementation) and includes both micro benchmarks and macro workload scenarios. The micro benchmark component tests basic spatial operations in isolation; it consists of queries based on the Dimensionally Extended 9-intersection model of topological relations and queries based on spatial analysis functions. Each macro workload includes a series of queries that are based on a common spatial data application. These macro scenarios include map search and browsing, geocoding, reverse geocoding, flood risk analysis, land information management and toxic spill analysis. We use Jackpine to evaluate the spatial features in 2 open source Databases and 1 commercial offering.
Hao Zizhao - One of the best experts on this subject based on the ideXlab platform.
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Design and Realization of Database Performance Monitoring and Analyzing System
Computer Engineering, 2005Co-Authors: Hao ZizhaoAbstract:This paper presents the design and part of implementation of a Database Performance monitoring and analyzing system(DMI) based on J2EE with discussing the architecture and Performance optimizing of Oracle.
Guo Jing - One of the best experts on this subject based on the ideXlab platform.
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research on oracle 10g Database Performance optimization
Journal of Wuhan University of Technology, 2005Co-Authors: Guo JingAbstract:Database Performance optimization influences the effective operation of the entire Database application directly.This paper discussed the policy and method of oracle Database Performance optimization,and updated features for Performance optimization in Oracle 10G,such as the Automatic Database Diagnostic Monitor(ADDM),application end to end tracing,automatic optimizer statistics collection and automatic shared memory management.How to use these new features to tune Oracle 10G Database was studied.These rationally utilized new features may bring much actual effect in 10G Database Performance optimization and tuning process.
