Results 151 to 160 of about 8,156 (191)

Utilizing In-Memory OLTP

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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Efficient partitioner for distributed OLTP DBMS

2018 20th International Conference on Advanced Communication Technology (ICACT), 2018
Distributed online transaction processing (OLTP) database management systems (DBMS) are characterized with ACID properties, that is atomicity, consistency, isolation, durability. However, these OLTP DBMSs that handle massive data schema, need to be scalable that cannot give up strong transactional and consistency requirements.
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Frequency governors for cloud database OLTP workloads

2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017
Dynamically controlling processor frequency to save power while meeting customer Service-Level Objectives (SLOs) can reduce the cost of goods sold for cloud service providers. However, resource governance for Online Transaction Processing (OLTP) workloads in the cloud is complicated by throughput constraints, latency constraints, shallow sleep states ...
Rathijit Sen, Alan Halverson
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Towards Scalable OLTP Over Fast Networks

2023
Online Transaction Processing (OLTP) underpins real-time data processing in many mission-critical applications, from banking to e-commerce. These applications typically issue short-duration, latency-sensitive transactions that demand immediate processing. High-volume applications, such as Alibaba's e-commerce platform, achieve peak transaction rates as
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In-Memory OLTP Concurrency Model

2018
The In-Memory OLTP technology, introduced in SQL Server 2014, can significantly improve the performance and throughput of OLTP systems. The key technology component—memory-optimized tables—stores the data in-memory, utilizing lock- and latch-free multi-versioning concurrency control.
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In-Memory OLTP Migration Tools

2015
This appendix discusses several SQL Server 2014 tools that help with In-Memory OLTP migration.
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การปรับปรุงประสิทธิภาพและยกระดับระบบบริการทางการเงินผ่านการบูรณาการ OLAP และ OLTP

ระบบการเงินในปัจจุบันต้องเผชิญกับการจัดการข้อมูลจำนวนมากในแต่ละวัน เช่น การสั่งซื้อสินค้า การชำระเงิน และการเติมเงินเข้าสู่ระบบ ซึ่งต้องดำเนินการด้วยความรวดเร็วและความถูกต้องแม่นยำ ระบบดั้งเดิมที่ใช้ฐานข้อมูลประเภท OLTP ได้รับการออกแบบมาเพื่อรองรับการประมวลผลธุรกรรมแบบเรียลไทม์ แต่เมื่อปริมาณข้อมูลเพิ่มมากขึ้น ระบบเริ่มประสบกับข้อจำกัดในด้านประสิทธิภาพ
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MPP UNIX enhancements for OLTP applications

Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences, 2002
The 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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Zen+: a robust NUMA-aware OLTP engine optimized for non-volatile main memory

VLDB Journal, 2022
Gang Liu, Shimin Chen
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In-Memory OLTP–Related Wait Types

2015
With the release of SQL Server 2014, Microsoft introduced a brand new SQL Server feature called In-Memory OLTP (or codename Hekaton). In-Memory OLTP is a memory-optimized database engine that is directly integrated into the SQL Server 2014 SQL Server engine.
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