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System optimization for OLTP workloads
IEEE Micro, 1999Major performance enhancements in large commercial systems are best achieved when advances in hardware technology are matched with advances in software technology. This article connects recent AS/400 hardware advances with the corresponding approaches used to tune the system performance for large online transaction processing (OLTP) workloads.
Steven R. Kunkel +2 more
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Pentium MPP for OLTP applications
Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences, 2002The paper describes a multi-Pentium architecture with a hierarchical memory and an I/O bus subsystem. On a board-level, this architecture achieves a very high-level of integration, by accommodating 8 Pentium processors with up to 2 Gigabytes of RAM. This hierarchical architecture has been extended to support multiple boards in a single cabinet as well ...
Mark Natale +5 more
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Proceedings of the VLDB Endowment, 2013
Benchmarking is an essential aspect of any database management system (DBMS) effort. Despite several recent advancements, such as pre-configured cloud database images and database-as-a-service (DBaaS) offerings, the deployment of a comprehensive testing platform with a diverse set of datasets and workloads is still far from being trivial. In many cases,
Djellel Eddine Difallah +3 more
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Benchmarking is an essential aspect of any database management system (DBMS) effort. Despite several recent advancements, such as pre-configured cloud database images and database-as-a-service (DBaaS) offerings, the deployment of a comprehensive testing platform with a diverse set of datasets and workloads is still far from being trivial. In many cases,
Djellel Eddine Difallah +3 more
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A methodology for OLTP micro-architectural analysis
Proceedings of the 13th International Workshop on Data Management on New Hardware, 2017Micro-architectural analysis is critical to investigate the interaction between workloads and processors. While today's aggressive out-of-order processors provide a rich set of performance events for deep execution cycle analysis, OLTP characterization studies usually use a cache-miss-based method (CMBM).
Utku Sirin +2 more
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Scheduling online repartitioning in OLTP systems
Proceedings of the Middleware Industry Track, 2014Previous studies on automatic database partitioning mostly focus on optimizing the (re)partitioning scheme for a given database and its query workload, while overseeing the problem about how to efficiently deploy the partition scheme onto the database system, which is, however, often non-trivial and challenging, especially in a distributed OLTP system ...
Kaiji Chen, Yongluan Zhou, Yu Cao 0004
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Performance of OLTP via Intelligent Scheduling
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018Current architectures for main-memory online transaction processing (OLTP) database management systems (DBMS) typically use random scheduling to assign transactions to threads. This approach achieves uniform load across threads but it ignores the likelihood of conflicts between transactions.
Tieying Zhang +3 more
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Benchmarking the dependability of different OLTP systems
2003 International Conference on Dependable Systems and Networks, 2003. Proceedings., 2004On-Line Transaction Processing (OLTP) systems constitute the kernel of the information systems used today to support the daily operations of most organizations. Although these systems comprise the best examples of complex business-critical systems, no practical way has been proposed so far to characterize the impact of faults in such systems or to ...
Marco Vieira, Henrique Madeira
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Automatic entity-grouping for OLTP workloads
2014 IEEE 30th International Conference on Data Engineering, 2014Supporting an online transaction processing (OLTP) workload in a scalable and elastic fashion is a challenging task. Recently, a new breed of scalable systems have shown significant throughput gains by limiting consistency to small units of data called “entity-groups” (e.g., a user's account information stored together with all her emails in an online ...
Bin Liu +4 more
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2015
This chapter provides a high-level overview of In-Memory OLTP objects. It shows how to create databases with an In-Memory OLTP filegroup, and how to define memory-optimized tables and access them through the interop engine and natively compiled stored procedures.
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This chapter provides a high-level overview of In-Memory OLTP objects. It shows how to create databases with an In-Memory OLTP filegroup, and how to define memory-optimized tables and access them through the interop engine and natively compiled stored procedures.
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2014
Hekaton was the code name of an In-Memory OLTP Engine introduced in SQL Server 2014. It is an Enterprise Edition feature, and it is available only in the 64-bit version of SQL Server. Hekaton is Greek for one hundred, which was the target performance-improvement goal of the project.
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Hekaton was the code name of an In-Memory OLTP Engine introduced in SQL Server 2014. It is an Enterprise Edition feature, and it is available only in the 64-bit version of SQL Server. Hekaton is Greek for one hundred, which was the target performance-improvement goal of the project.
openaire +1 more source

