Paper Info
Title
Scheduling batch transactions on shared-nothing parallel database machines: effects of concurrency and parallelism
Abstract
Concurrency-control scheduling of batch transactions on shared-nothing (or loosely-coupled) multiprocessor database machines is discussed. Various schedulers are tested for these batch transactions to examine how well they perform when both intertransaction parallelism and intratransaction parallelism are limited. New schedulers designed for batch transaction processing are outlined which use a new tool called a weighted transaction-precedence graph (WTPG). Simulation results show that two new schedulers (globally and locally optimized WTPG schedulers) are the best performers under various workloads
Year
DOI
Venue
1991
10.1109/ICDE.1991.131468
Kobe
Keywords
Field
DocType
concurrency control,database management systems,parallel processing,scheduling,transaction processing,batch transactions scheduling,concurrency,intertransaction parallelism,intratransaction parallelism,multiprocessor database machines,shared-nothing parallel database machines,simulation,weighted transaction-precedence graph
Transaction processing,Serializability,Computer science,Task parallelism,Parallel computing,Online transaction processing,Data parallelism,Distributed transaction,Database,Optimistic concurrency control,Transaction processing system,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-8186-2138-9
12
13.33
References 
Authors
16
3
Name
Order
Citations
PageRank
Tadashi Ohmori15647.58
Masaru Kitsuregawa23188831.46
Hidehiko Tanaka31719339.53