Grid resource management : state of the art and future trends
著者
書誌事項
Grid resource management : state of the art and future trends
(International series in operations research & management science, 64)
Kluwer Academic Publishers, c2004
大学図書館所蔵 全6件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
I Introduction to Grids and Resource Management.- 1 The Grid in a Nutshell.- 2 Ten Actions When Grid Scheduling.- 3 Application Requirements for Resource Brokering in a Grid Environment.- 4 Attributes for Communication Between Grid Scheduling Instances.- 5 Security Issues of Grid Resource Management.- II Resource Management in Support of Collaborations.- 6 Scheduling in the Grid Application Development Software Project.- 7 Workflow Management in GriPhyN.- III State of the Art Grid Resource Management.- 8 Grid Service Level Agreements.- 9 Condor and Preemptive Resume Scheduling.- 10 Grid Resource Management in Legion.- 11 Grid Scheduling with Maui/Silver.- 12 Scheduling Attributes and Platform LSF.- 13 PBS Pro: Grid Computing and Scheduling Attributes.- IV Prediction and Matching for Grid Resource Management.- 14 Performance Information Services for Computational Grids.- 15 Using Predicted Variance for Conservative Scheduling on Shared Resources.- 16 Improving Resource Selection and Scheduling Using Predictions.- 17 The ClassAds Language.- 18 Multicriteria Aspects of Grid Resource Management.- 19 A Metaheuristic Approach to Scheduling Workflow Jobs on a Grid.- V Data-Centric Approaches for Grid Resource Management.- 20 Storage Resource Managers.- 21 NeST: A Grid Enabled Storage Appliance.- 22 Computation Scheduling and Data Replication Algorithms for Data Grids.- VI Quality of Service: QoS.- 23 GARA: A Uniform Quality of Service Architecture.- 24 QoS-Aware Service Composition for Large-Scale Peer-to-Peer Systems.- VII Resource Management in Peer-to-Peer Environments.- 25 A Peer-to-Peer Approach to Resource Location in Grid Environments.- 26 Resource Management in the Entropia System.- 27 Resource Management for the Triana Peer-to-Peer Services.- VIII Economic Approaches and Grid Resource Management.- 28 Grid Resource Commercialization.- 29 Trading Grid Services within the UK e-Science Grid.- 30 Applying Economic Scheduling Methods to Grid Environments.- References.
「Nielsen BookData」 より