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

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

Lizhe Wang, Jinjun Chen, Wei Jie

Copyright: © 2009 |Pages: 528

ISBN13: 9781605663708|ISBN10: 1605663700|EISBN13: 9781605663715|ISBN13 Softcover: 9781616924683

DOI: 10.4018/978-1-60566-370-8

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MLA

Wang, Lizhe , et al., editors. Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments. IGI Global, 2009. https://doi.org/10.4018/978-1-60566-370-8

APA

Wang, L., Chen, J., & Jie , W. (Eds.). (2009). Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments. IGI Global. https://doi.org/10.4018/978-1-60566-370-8

Chicago

Wang, Lizhe , Jinjun Chen, and Wei Jie , eds. Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-370-8

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Distinguished from conventional parallel and distributed computing, the innovative field of grid computing focuses on resources shared among geographically distributed sites, providing high qualitative services for users and applications.

Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments defines and characterizes the latest research achievements in grid computing. This book provides an important reference for academicians, practitioners, and researchers in fields such as parallel and distributed computing, high performance computing, and grid computing.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Acknowledgment

Chapters

Chapter 1

Two Approaches of Workflow Scheduling with QoS in the Grid (pages 1-27)

Fangpeng Dong, Selim G. Akl

Over the past decade, Grid Computing has earned its reputation by facilitating resource sharing in larger communities and providing non-trivial services. However, for Grid users, Grid resources are not usually dedicated, which...

Chapter 2

Dynamic Network Optimization for Effective Qos Support in Large Grid Infrastructures (pages 28-45)

Francesco Palmieri, Ugo Fiore

In the past decade there has been a remarkable change from mainframe-based centralized computing to a distributed client/server approach. In the coming decade this trend is likely to continue with further shifts towards network...

Chapter 3

From Enabling to Ensuring Grid Workflows (pages 46-73)

Junwei Cao, Fan Zhang, Ke Xu, Lianchen Liu

Grid workflows are becoming a mainstream paradigm for implementing complex grid applications. In addition to existing grid enabling techniques, various grid ensuring techniques are emerging, e.g. workflow analysis and temporal...

Chapter 4

The Cost-Based Resource Management in Combination with Qos For Grid Computing (pages 74-90)

Chuliang Weng, Jian Cao, Minglu Li

In the grid context, the scheduling can be grouped into two categories: offline scheduling and online scheduling. In the offline scheduling scenario, the sequence of jobs is known in advance, scheduling is based on information about...

Chapter 5

Providing Quantitative Scalability Improvement of Consistency Control for Large-Scale, Replication-Based Grid Systems (pages 91-111)

Yijun Lu, Hong Jiang, Ying Lu

Consistency control is important in replication-based-Grid systems because it provides QoS guarantee. However, conventional consistency control mechanisms incur high communication overhead and are ill suited for large-scale dynamic...

Chapter 6

QoS-based Job Scheduling and Resource Management Strategies for Grid Computing (pages 110-127)

Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung

This chapter elaborates the quality of service (QoS) aspect of load sharing activities in a computational grid environment. Load sharing is achieved through appropriate job scheduling and resource allocation mechanisms. A...

Chapter 7

Grid Workflows with Encompassed Business Relationship: An Approach Establishing Quality of Service Guarantees (pages 128-145)

Dimosthenis Kyriazis, Andreas Menychtas, Theodora Varvarigou

This chapter focuses on presenting and describing an approach that allows the mapping of workflow processes to Grid provided services by not only taking into account the quality of service (QoS) parameters of the Grid services but...

Chapter 8

Investigating Deadline-Driven Scheduling Policy via Simulation with East (pages 146-155)

Justin M. Wozniak, Aaron Striegel

Opportunistic techniques have been widely used to create economical computation infrastructures and have demonstrated an ability to deliver heterogeneous computing resources to large batch applications, however, batch turnaround...

Chapter 9

Achieving QoS in Highly Unreliable Grid Environments (pages 156-180)

Antonios Litke

Grids can form the basis for pervasive computing due to their ability of being open, scalable, and flexible to various changes (from topology changes to unpredicted failures of nodes). However, such environments are prone to failures...

Chapter 10

Implementation and QoS for High-performance GIServices in Special Information Grid (pages 181-203)

Fang Huang

With the development of grid technology, the spatial information grid researches are also in progress. In China, the spatial information grid platform (abbreviation to SIG) not only can provide geo-spatial data services (GDS) for...

Chapter 11

The Interactive Computing of Web Knowledge Flow - from Web to Knowledge Web (pages 204-218)

Xiangfeng Luo, Jie Yu

Web Knowledge Flow provides a technique and theoretical support for the effective discovery of knowledge innovation, intelligent browsing, personalized recommendation, cooperative team work, and the semantic analysis of resources on...

Chapter 12

Reputation Evaluation Framework Based on QoS in Grid Economy Environments (pages 219-232)

Guanfeng Liu

This chapter mainly introduces some recent researches of reputation evaluation methods in Grid economy. The GRACE (Grid Architecture for Computational Economy architecture) is adopted to explain some mechanisms in the Grid economy...

Chapter 13

Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks (pages 233-248)

Cheng Fu, Bang Wang

A major design challenge in wireless sensor network application development is to provide appropriate middleware service protocols to control the energy consumption according to specific application scenarios. In common application...

Chapter 14

A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution (pages 249-270)

Kaijun Ren, Jinjun Chen, Nong Xiao, Weimin Zhang

In scientific computing environments such as service grid environments, services are becoming basic collaboration components which can be used to construct a composition plan for scientists to resolve complex scientific problems....

Chapter 15

Hands on Experience on Building Institutional Grid Infrastructure (pages 271-298)

Xiaoyu Yang, Gen-Tao Chiang

It will become increasingly popular that scientists in research institutes will make use of Grid computing resources for running computer simulations and managing data. Although there are some production Grids available, it is often...

Chapter 16

A Grid Aware Large Scale Agent-based Simulation System (pages 299-319)

Dan Chen

The emergence of Grid technologies provide exciting new opportunities for large scale simulation over Internet, enabling collaboration and the use of distributed computing resources, while also facilitating access to geographically...

Chapter 17

E-Portfolio to Promote Virtual Learning Group Communities on the Grid (pages 320-337)

Guy Gouardères, Emilie Conté

In Vocational and Educational Training (VET), new trends are toward social learning and, more precisely, toward informal learning. In such settings, this article introduces a process — the e-Qualification — to manage informal...

Chapter 18

QoS-Aware Web Services Discovery with Federated Support for UDDI (pages 338-362)

Chen Zhou, Liang-Tien Chia, Bu-Sung Lee

Web services’ discovery mechanism is one of the most important research areas in Web services because of the dynamic nature of Web services. In practice, UDDI takes an important role in service discovery since it is an online...

Chapter 19

The Key Requirements for deploying Knowledge Management Services in a Semantic Grid Environment (pages 363-379)

Mirghani Mohamed, Michael Stankosky, Vincent Ribière

The purpose of this article is to investigate the requirements of knowledge management (KM) services deployment in a Semantic Grid environment. A wide range of literature on Grid Computing, Semantic Web, and KM have been reviewed...

Chapter 20

Karma2: Provenance Management for Data-Driven Workflows (pages 380-403)

Yogesh L. Simmhan, Beth Plale, Dennis Gannon

The increasing ability for the sciences to sense the world around us is resulting in a growing need for datadriven e-Science applications that are under the control of workflows composed of services on the Grid. The focus of our work...

Chapter 21

Ontology-Based Construction of Grid Data Mining Workflows (pages 404-434)

Peter Brezany, Ivan Janciak, A Min Tjoa

This chapter introduces an ontology-based framework for automated construction of complex interactive data mining workflows as a means of improving productivity of Grid-enabled data exploration systems. The authors first characterize...

Chapter 22

Optimization Algorithms for Data Transfer in the Grid Environment (pages 435-450)

Muzhou Xiong, Hai Jin

In this chapter, two algorithms have been presented for supporting efficient data transfer in the Grid environment. From a node’s perspective, a multiple data transfer channel can be formed by selecting some other nodes as relays in...

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Compilation of References

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