Chapter

Advances in Grid Computing - EGC 2005

Volume 3470 of the series Lecture Notes in Computer Science pp 786-795

The Gridkit Distributed Resource Management Framework

  • Wei CaiAffiliated withComputing Department, Lancaster University
  • , Geoff CoulsonAffiliated withComputing Department, Lancaster University
  • , Paul GraceAffiliated withComputing Department, Lancaster University
  • , Gordon BlairAffiliated withComputing Department, Lancaster University
  • , Laurent MathyAffiliated withComputing Department, Lancaster University
  • , Wai-Kit YeungAffiliated withComputing Department, Lancaster University

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Abstract

Traditionally, distributed resource management/ scheduling systems for the Grid (e.g. Globus/ GRAM/ Condor-G) have tended to deal with coarsegrained and concrete resource types (e.g. compute nodes and disks), to be statically configured and non-extensible, and to be non-adaptive at runtime. In this paper, we present a new resource management framework that tries to overcome these limitations. The framework, which is part of our ‘Gridkit’ middleware platform, uniformly accommodates an extensible set of resource types that may be both fine-grained (such as threads and TCP/IP connections), and abstract (i.e. represent application-level concepts such as matrix containers). In addition, it is highly configurable and extensible in terms of pluggable strategies, and supports flexible runtime adaptation to fluctuating application demand and resource availability. As a key contribution, the notion of tasks enables resource requirements to be expressed orthogonally to the structure of the application, allowing intuitive application-level QoS/ resource specification, highly flexible mappings of applications to available distributed infrastructures, and also facilitates autonomic adaptation.