Results 171 to 180 of about 1,318 (208)
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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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P4DB - The Case for In-Network OLTP
Proceedings of the 2022 International Conference on Management of Data, 2022Matthias Jasny +3 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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In-Memory OLTP Programmability
2014This chapter focuses on the programmability aspects of the In-Memory OLTP Engine in SQL Server. It describes the process of native compilation, and it provides an overview of the natively compiled stored procedures and T-SQL features that are supported in In-Memory OLTP.
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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.
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Performance Characters of OLTP in CMP
Journal of Convergence Information Technology, 2011On-Line Transaction Processing (OLTP) workload is an important application in commercial service domain. Chip multiprocessor (CMP) is main stream of processor development. Performance characters of OLTP in CMP become a crucial benchmark for design and performance analysis of CMP server system.
Lin Deng - +3 more
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2015
This introductory chapter explains the importance of in-memory databases and the problems they address. It provides an overview of the Microsoft In-Memory OLTP implementation (code name Hekaton) and its design goals. Finally, this chapter discusses the high-level architecture of the In-Memory OLTP Engine and how it is integrated into SQL Server.
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This introductory chapter explains the importance of in-memory databases and the problems they address. It provides an overview of the Microsoft In-Memory OLTP implementation (code name Hekaton) and its design goals. Finally, this chapter discusses the high-level architecture of the In-Memory OLTP Engine and how it is integrated into SQL Server.
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MPP UNIX enhancements for OLTP applications
Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences, 2002The paper describes an MPP UNIX in terms of goals, implementation and initial experience in using it to port OLTP applications. Most MPP UNIX systems strive towards the goal of a conventional but massively scaled up shared memory multiprocessor. In reality this goal has never been achieved without compromising scalability or fault-tolerance.
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2015
This chapter discusses several design considerations for systems utilizing In-Memory OLTP and shows a set of techniques that can be used to address some of In-Memory OLTP’s limitations. Moreover, this chapter demonstrates how to benefit from In-Memory OLTP in scenarios when refactoring of existing systems is cost-ineffective.Finally, this chapter talks
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This chapter discusses several design considerations for systems utilizing In-Memory OLTP and shows a set of techniques that can be used to address some of In-Memory OLTP’s limitations. Moreover, this chapter demonstrates how to benefit from In-Memory OLTP in scenarios when refactoring of existing systems is cost-ineffective.Finally, this chapter talks
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2015
Perhaps the most anticipated new feature in SQL Server 2014 is the In-Memory OLTP database engine component. As its name implies, this new component works with memory-resident data. Current OLTP workloads, which read the pages from disk, need to take and release locks and latches, and they need to wait for log writes to be performed. In-Memory OLTP was
Jason Brimhall +2 more
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Perhaps the most anticipated new feature in SQL Server 2014 is the In-Memory OLTP database engine component. As its name implies, this new component works with memory-resident data. Current OLTP workloads, which read the pages from disk, need to take and release locks and latches, and they need to wait for log writes to be performed. In-Memory OLTP was
Jason Brimhall +2 more
openaire +1 more source