Grid Resource Management: State of the Art and Future Trends

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, which covers both real world experiences with current systems and the current research available today. In addition, the book elucidates 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.

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Table of Contents

• Part I
  Introduction to Grids and Resource Management
  • 1 The Grid in a Nutshell
    Ian Foster and Carl Kesselman
  • 2 Ten Actions When Grid Scheduling
    Jennifer M. Schopf
  • 3 Application Requirements for Resource Brokering in a Grid Environment
    Michael Russell, Gabrielle Allen, Tom Goodale, Jarek Nabrzyski, and Ed Seidel
  • 4 Attributes for Communication Between Grid Scheduling Instances
    Uwe Schwiegelshohn and Ramin Yahyapour
  • 5 Security Issues of Grid Resource Management
    Mary R. Thompson and Keith R. Jackson
• Part II
  Resource Management in Support of Collaborations
  • 6 Scheduling in the Grid Application Development Software Project
    Holly Dail, Otto Sievert, Fran Berman, Henri Casanova, Asim YarKhan, Sathish Vadhiyar, Jack Dongarra, Chuang Liu, Lingyun Yang, Dave Angulo, and Ian Foster
  • 7 Workflow Management in GriPhyN
    Ewa Deelman, James Blythe, Yolanda Gil, and Carl Kesselman
• Part III
  State of the Art Grid Resource Management
  • 8 Grid Service Level Agreements
    Karl Czajkowski, Ian Foster, Carl Kesselman, and Steven Tuecke
  • 9 Condor and Preemptive Resume Scheduling
    Alain Roy and Miron Livny
  • 10 Grid Resource Management in Legion
    Anand Natrajan, Marty A. Humphrey, and Andrew S. Grimshaw
  • 11 Grid Scheduling with Maui/Silver
    David B. Jackson
  • 12 Scheduling Attributes and Platform LSF
    Ian Lumb and Chris Smith
  • 13 PBS Pro: Grid Computing and Scheduling Attributes
    Bill Nitzberg, Jennifer M. Schopf, and James Patton Jones
• Part IV
  Prediction and Matching for Grid Resource Management
  • 14 Performance Information Services for Computational Grids
    Rich Wolski, Lawrence J. Miller, Graziano Obertelli, and Martin Swany
  • 15 Using PredictedVariance for Conservative Scheduling on Shared Resources
    Jennifer M. Schopf and Lingyun Yang
  • 16 Improving Resource Selection and Scheduling Using Predictions
    Warren Smith
  • 17 The ClassAds Language
    Rajesh Raman, Marvin Solomon, Miron Livny, and Alain Roy
  • 18 Multicriteria Aspects of Grid Resource Management
    Krzysztof Kurowski, Jarek Nabrzyski, Ariel Oleksiak, and Jan W˛eglarz
  • 19 A Metaheuristic Approach to SchedulingWorkflow Jobs on a Grid
    Marek Mika, Grzegorz Waligóra, and Jan Weglarz
• Part V
  Data-Centric Approaches for Grid Resource Management
  • 20 Storage Resource Managers
    Arie Shoshani, Alexander Sim, and Junmin Gu
  • 21 NeST: A Grid Enabled Storage Appliance
    John Bent, Venkateshwaran Venkataramani„ Nick LeRoy, Alain Roy, Joseph Stanley, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, and Miron Livny
  • 22 Computation Scheduling and Data Replication Algorithms for Data Grids
    Kavitha Ranganathan and Ian Foster
• Part VI
  Quality of Service: QoS
  • 23 GARA: A Uniform Quality of Service Architecture
    Alain Roy and Volker Sander
  • 24 QoS-Aware Service Composition for Large-Scale Peer-to-Peer Systems
    Xiaohui Gu and Klara Nahrstedt
• Part VII
  Resource Management in Peer-to-Peer Environments
  • 25 Peer-to-Peer Resource Location in Grid Environments
    Adriana Iamnitchi and Ian Foster
  • 26 Resource Management in the Entropia System
    Andrew A. Chien, Shawn Marlin, and Stephen T. Elbert
  • 27 Resource Management for the Triana Peer-to-Peer Services
    Ian Taylor, Matthew Shields, and Ian Wang
• Part VIII
  Economic Approaches and Grid Resource Management
  • 28 Grid Resource Commercialization
    Chris Kenyon and Giorgos Cheliotis
  • 29 Trading Grid Services within the UK e-Science Grid
    Steven Newhouse, Jon MacLaren, and Katarzyna Keahey
  • 30 Applying Economic Scheduling Methods to Grid Environments
    Carsten Ernemann and Ramin Yahyapour