As more and more data is generated at a faster-than-ever rate, processing large volumes of
data is becoming a challenge for data analysis software. Addressing performance issues …

This volume discusses how the novel technologies of semantic web and workflow have
been integrated into the grid and grid services. It focuses on sharing resources, data …

Scheduling jobs on computational grids is identified as NP-complete problem due to the
heterogeneity of resources; the resources belong to different administrative domains and …

We consider the model of task scheduling in Grid systems that can be represented by the
first coordinate quadrant. The process of task scheduling is based on the parity of processor …

In this paper, a mathematical solution for reducing the mean number of the tasks waiting to
be processed in a grid environment is proposed. The approach uses queuing theory and …

Resources in grid systems are heterogeneous, geographically distributed, belong to
different administrative domains and apply different management policies. The roles of …

Cloud computing has emerged as a hot topic of research, and several books have been
published on this topic. This present book concentrates on data-intensive computing and …

Extracting useful knowledge from data sets measuring in gigabytes and even terabytes is a
challenging research area for the data mining community. Sequential approaches suffer …

Job scheduling is one of the main factors affecting grid computing performance. Job
scheduling problem classified as an NP-hard problem. Such a problem can be solved only …

Recently, the volume of data produced in academia and industry has grown drastically.
Distributed computing systems including Grids make use of computer networks (eg Internet) …