Query optimization could be static or dynamic. In this paper, we review static and several dynamic optimization strategies for autonomous and non-autonomous distributed database system. In a …

In this work we present a multiple query optimization on homogeneous distributed database application through dynamic programming for semi optimal solution. Keywards: …

Apr 25, 2019 · In this work we present a multiple query optimization on homogeneous distributed database application through dynamic programming for semi optimal solution.

Our experimental results show that this reformulation of non-inner joins as complex predicates can improve optimization time by orders of magnitude, com-pared to known algorithms dealing …

Cost difference between evaluation plans for a query can be enormous • E.g. seconds vs. days in some cases Steps in cost-based query optimization 1. Generate logically equivalent …

• Output: A good physical query plan • Basic query optimization algorithm – Enumerate alternative plans (logical and physical) – Compute estimated cost of each plan • Compute number of I/Os …

Mar 1, 2000 · In this paper, we present and thoroughly evaluate a new class of query optimization algorithms that are based on a principle that we call iterative dynamic programming, or IDP for …

Jul 7, 2011 · Extensive research has been done for query optimization in distributed databases. Numerous optimization strategies like static, dynamic and randomized strategies have been …

Nov 15, 2004 · Introduction The “multiple query optimization” (MQO) prob- lem has been studied in the database literature since 1980s. MQO tries to reduce the execution cost of a group of …

Query optimization in distributed databases explicitly needed in many aspects of the optimization process, often making it imperative for the optimizer to consult underlying data sources while …