An Efficient Query Optimizer with Materialized Intermediate Views in Distributed and Cloud Environment

In cloud computing environment hardware resources required for the execution of query using distributed relational database system are scaled up or scaled down according to the query workload performance. Complex queries require large scale of resources in order to complete their execution efficiently. The large scale of resource requirements can be reduced by minimizing query execution time that maximizes resource utilization and decreases payment overhead of customers. Complex queries or batch queries contain some common subexpressions. If these common subexpressions evaluated once and their results are cached, they can be used for execution of further queries. In this research, we have come up with an algorithm for query optimization, which aims at storing intermediate results of the queries and use these by-products for execution of future queries. Extensive experiments have been carried out with the help of simulation model to test the algorithm efficiency

Approximate Fixed Points for NN-Linear Functional by (M,σ)(\Mu,\sigma)- Nonexpansive Mappings on NN-Banach Spaces

In this paper, we conclude that $n$-linear functionals spaces $\Im$ has approximate fixed points set, where $\Im$ is a non-empty bounded subset of an $n$-Banach space $H$ under the condition of equivalence, and we also use class of $(\mu,\sigma)$-nonexpansive mappings

Positive Solution for A Class of Caputo-type Fractional Differential Equations

In this paper, we investigate the existence and uniqueness of positive solutions for a class of Caputo-type fractional differential equations with nonlocal integral boundary conditions. Our analysis based on constructing the upper and lower control functions of the nonlinear terms without having any monotone conditions except the continuity, Green function, and Schauder's (Banach's) fixed point technique on a cone. Finally, some examples are given to substantiate our main results