rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Metaheuristics for Scheduling in Distributed Computing Environments
  name:
    name part: Xhafa, Fatos.
    role:
      role term: editor.
  name:
    name part: Abraham, Ajith.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 364 p. online resource.
  abstract: Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 13 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
  table of contents: Meta-heuristics for Grid Scheduling Problems -- Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment -- Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems -- Supercomputer Scheduling with Combined Evolutionary Techniques -- Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms -- Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment -- Workflow Scheduling Algorithms for Grid Computing -- Decentralized Grid Scheduling Using Genetic Algorithms -- Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches -- Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms -- P2P B&B and GA for the Flow-Shop Scheduling Problem -- Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics -- An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities.
  note: edited by Fatos Xhafa, Ajith Abraham.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Manufacturing industries
  subject:
    topic: Machines
  subject:
    topic: Tools
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Manufacturing, Machines, Tools
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 146
  identifier: 9783540692775
  identifier: http://dx.doi.org/10.1007/978-3-540-69277-5
  record info:
    record creation date: 100301
    record change date: 20151204150011.0
    record identifier: 978-3-540-69277-5