Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, 1st Edition

  • Published By:
  • ISBN-10: 1605663719
  • ISBN-13: 9781605663715
  • Grade Level Range: College Freshman - College Senior
  • 503 Pages | eBook
  • Original Copyright 2009 | Published/Released July 2009
  • This publication's content originally published in print form: 2009

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Defines and characterizes the latest research achievements in grid computing. Provides a reference for academicians, practitioners, and researchers in fields such as parallel and distributed computing, high performance computing, and grid computing.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
1: Two Approaches for Workflow Scheduling with Quality of Service in the Grid.
2: Dynamic Network Optimization for Effective QoS Support in Large Grid Infrastructures.
3: From Enabling to Ensuring Grid Workflows.
4: The Cost-Based Resource Management in Combination With QoS for Grid Computing.
5: Providing Quantitative Scalability Improvement of Consistency Control or Large-Scale, Replication-Based Grid Systems.
6: QoS-Based Job Scheduling and Resource Management Strategies for Grid Computing.
7: Grid Workflows with Encompassed Business Relationships: An Approach Establishing Quality of Service Guarantees.
8: Investigating Deadline-Driven Scheduling Policy via Simulation with East.
9: Achieving QoS in Highly Unreliable Grid Environments.
10: Implementation and QoS for High-Performance GIServices in Spatial Information Grid.
11: The Interactive Computing of Web Knowledge Flow: From Web to Knowledge Web.
12: Reputation Evaluation Framework Based on QoS in Grid Economy Environments.
13: Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks.
14: A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution.
15: Hands-On Experience in Building Institutional Grid Infrastructure.
16: A Grid Aware Large-Scale Agent-Based Simulation System.
17: E-Portfolio to Promote the Virtual Learning Group Communities on the Grid.
18: QoS-Aware Web Services Discovery with Federated Support for UDDI.
19: The Key Requirements for Deploying Knowledge Management Services in a Semantic Grid Environment.
20: Karma2: Provenance Management for Data-Driven Workflows.
21: Ontology-Based Construction of Grid Data Mining Workflows.
22: Optimization Algorithms for Data Transfer in the Grid Environment.
Compilation of References.
About the Contributors.