Description

Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible. While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals. These are the issues addressed in this book, in addition to elucidating the overlap with related areas including discussions of work with peer-to-peer computing, economic approaches, and operations research. Grid Resource Management: State of the Art and Future Trends is an invaluable resource for today's user, application developer, or resource owners when working with Grid resource management systems.

Table of Contents

Introduction to Grids and Resource Management

The Grid in a Nutshell

Ten Actions When Grid Scheduling

Application Requirements for Resource Brokering in a Grid Environment

Attributes for Communication Between Grid Scheduling Instances

Security Issues of Grid Resource Management

Resource Management in Support of Collaborations

Scheduling in the Grid Application Development Software Project

Workflow Management in GriPhyN

State of the Art Grid Resource Management

Grid Service Level Agreements

Condor and Preemptive Resume Scheduling

Grid Resource Management in Legion

Grid Scheduling with Maui/Silver

Scheduling Attributes and Platform LSF

PBS Pro: Grid Computing and Scheduling Attributes

Prediction and Matching for Grid Resource Management

Performance Information Services for Computational Grids

Using PredictedVariance for Conservative Scheduling on Shared Resources

Improving Resource Selection and Scheduling Using Predictions

The ClassAds Language

Multicriteria Aspects of Grid Resource Management

A Metaheuristic Approach to SchedulingWorkflow Jobs on a Grid

Data-Centric Approaches for Grid Resource Management

Storage Resource Managers

NeST: A Grid Enabled Storage Appliance

Computation Scheduling and Data Replication Algorithms for Data Grids

Quality of Service: QoS

GARA: A Uniform Quality of Service Architecture

QoS-Aware Service Composition for Large-Scale Peer-to-Peer Systems

Resource Management in Peer-to-Peer Environments

Peer-to-Peer Resource Location in Grid Environments

Resource Management in the Entropia System

Resource Management for the Triana Peer-to-Peer Services

Economic Approaches and Grid Resource Management

Grid Resource Commercialization

Trading Grid Services within the UK e-Science Grid

Applying Economic Scheduling Methods to Grid Environments