Abdelkader Hameurlain
ABSTRACT
The purpose of this talk is to provide a comprehensive state of the art concerning the evolution of data management systems from uni-processor systems to large scale distributed systems. We focus our study on the query processing and optimization methods. For each environment, we recall their motivations and point out main characteristics of proposed methods, especially, the nature of decision-making (centralized or decentralized control for high level of scalability), adaptive level (intra-operator and/or inter-operator), impact of parallelism (partitioned and pipelined parallelism) and dynamicity (e.g. elasticity) of execution models.
Index Terms
- Evolution of data management systems: from uni-processor to large-scale distributed systems
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