Transaction Processing on Modern Hardware

Mohammad Sadoghi, Spyros Blanas

$138.95 $111.26

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer International Publishing AG
08 March 2019

Information theory; Network hardware; Algorithms & data structures

Series: Synthesis Lectures on Data Management

The last decade has brought groundbreaking developments in transaction processing. This resurgence of an otherwise mature research area has spurred from the diminishing cost per GB of DRAM that allows many transaction processing workloads to be entirely memory-resident. This shift demanded a pause to fundamentally rethink the architecture of database systems. The data storage lexicon has now expanded beyond spinning disks and RAID levels to include the cache hierarchy, memory consistency models, cache coherence and write invalidation costs, NUMA regions, and coherence domains. New memory technologies promise fast non-volatile storage and expose unchartered trade-offs for transactional durability, such as exploiting byte-addressable hot and cold storage through persistent programming that promotes simpler recovery protocols. In the meantime, the plateauing single-threaded processor performance has brought massive concurrency within a single node, first in the form of multi-core, andnow with many-core and heterogeneous processors.

The exciting possibility to reshape the storage, transaction, logging, and recovery layers of next-generation systems on emerging hardware have prompted the database research community to vigorously debate the trade-offs between specialized kernels that narrowly focus on transaction processing performance vs. designs that permit transactionally consistent data accesses from decision support and analytical workloads. In this book, we aim to classify and distill the new body of work on transaction processing that has surfaced in the last decade to navigate researchers and practitioners through this intricate research subject.

By: Mohammad Sadoghi, Spyros Blanas
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 191mm,
Weight: 279g
ISBN: 9783031007422
ISBN 10: 3031007425
Series: Synthesis Lectures on Data Management
Pages: 122
Publication Date: 08 March 2019
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Mohammad Sadoghi is an Assistant Professor in the Computer Science Department at the University of California, Davis. Formerly, he was an Assistant Professor at Purdue University. Prior to joining academia, he was a Research Staff Member at IBM T.J. Watson Research Center for nearly four years. He received his Ph.D. from the Computer Science Department at the University of Toronto in 2013. At UC Davis, Prof. Sadoghi leads the ExpoLab research group with the aim to pioneer a new exploratory data platform (referred to as ExpoDB) a distributed ledger that unifies secure transactional and real-time analytical processing, all centered around a democratic and decentralized computational model.Spyros Blanas is an Assistant Professor in the Department of Computer Science and Engineering at The Ohio State University since 2014. He received his Ph.D. at the University of Wisconsin-Madison, where he was a member of the Database Systems group and the Microsoft Jim Gray Systems Lab. Part of his Ph.D. dissertation was commercialized in Microsoft SQL Server 2014 as the Hekaton in-memory transaction processing engine. His research interest is high-performance database systems and his current goal is to build a data management system for high-end computing facilities.