In this paper, we investigate two scheduling approaches for multicomputer-based parallel database systems: the competition-based technique allows queries to compete freely for computing resources, while the planning-based scheme relies on a centralized scheduler to plan We execution of all queries. Our studies show that competition-based though provides impressive performance, the planning-based is consistently the better approach
Parallel database machines are meant to obtain high performance in transaction processing, both in t...
Abstract — Many parallel applications from scientic computing show a modular structure and are there...
In this paper we present a new framework for studying parallel query optimization. We first note tha...
In this paper, we investigate two scheduling approaches for multicomputer-based parallel database sy...
Summarization: Scheduling query execution plans is an important component of query optimization in p...
DG III, European Commission;Russian Academy of Sciences;Russian Foundation for Basic Research;Russia...
Amount of data stored in enterprises are increasing rapidly. Volume of data stored in database is ap...
In the current work, we derive a complete approach to optimization and automatic parallelization of ...
In this paper, we present an extension of PSA strategy (Parallel Scheduling Algorithm ), to determin...
Abstract: In-memory database management systems have the potential to reduce the execution time of c...
International audienceDefinition : The goal of parallel query execution is minimizing query response...
Data warehouse queries pose challenging performance problems that often necessitate the use of paral...
A number of execution strategies for parallel evaluation of multi-join queries have been proposed in...
Parallel database systems have to support the effective parallelization of complex queries in multi-...
Parallel database systems have to support the effective parallelization of complex queries in multi-...
Parallel database machines are meant to obtain high performance in transaction processing, both in t...
Abstract — Many parallel applications from scientic computing show a modular structure and are there...
In this paper we present a new framework for studying parallel query optimization. We first note tha...
In this paper, we investigate two scheduling approaches for multicomputer-based parallel database sy...
Summarization: Scheduling query execution plans is an important component of query optimization in p...
DG III, European Commission;Russian Academy of Sciences;Russian Foundation for Basic Research;Russia...
Amount of data stored in enterprises are increasing rapidly. Volume of data stored in database is ap...
In the current work, we derive a complete approach to optimization and automatic parallelization of ...
In this paper, we present an extension of PSA strategy (Parallel Scheduling Algorithm ), to determin...
Abstract: In-memory database management systems have the potential to reduce the execution time of c...
International audienceDefinition : The goal of parallel query execution is minimizing query response...
Data warehouse queries pose challenging performance problems that often necessitate the use of paral...
A number of execution strategies for parallel evaluation of multi-join queries have been proposed in...
Parallel database systems have to support the effective parallelization of complex queries in multi-...
Parallel database systems have to support the effective parallelization of complex queries in multi-...
Parallel database machines are meant to obtain high performance in transaction processing, both in t...
Abstract — Many parallel applications from scientic computing show a modular structure and are there...
In this paper we present a new framework for studying parallel query optimization. We first note tha...