Title
Workload balance and page access scheduling for parallel joins in shared-nothing systems
Abstract
A methodology to resolve balancing and scheduling issues for parallel join execution in a shared-nothing multiprocessor environment are presented. In the past, research on parallel join methods focused on the design of algorithms for partitioning relations and distributing data buckets as evenly as possible to the processors. Once data are uniformly distributed to the processors, it is assumed that all processors will complete their tasks at about the same time. The authors stress that this is true if no further information, such as page-level join index, is available. Otherwise, the join execution can be further optimized and the workload in the processors may still be unbalanced. The authors study these problems in a shared-nothing environment
Year
DOI
Venue
1993
10.1109/ICDE.1993.344040
ICDE
Keywords
Field
DocType
optimisation,relational databases,parallel processing,parallel join execution,scheduling,relational database,page-level join index,workload balance,balancing,shared-nothing multiprocessor environment,database theory,parallel joins,shared-nothing systems,join execution,data buckets,page access scheduling,query processing,stress,computer architecture,tin,algorithm design and analysis,indexation,scheduling algorithm
Joins,Algorithm design,Relational database,Scheduling (computing),Computer science,Workload,Parallel computing,Shared nothing architecture,Multiprocessing,Database theory,Database,Distributed computing
Conference
Citations 
PageRank 
References 
23
18.65
19
Authors
2
Name
Order
Citations
PageRank
Chiang Lee1294149.40
Zue-An Chang24743.04