TY - JOUR
T1 - The Gridkit distributed resource management framework
AU - Cai, Wei
AU - Coulson, Geoff
AU - Grace, Paul
AU - Blair, Gordon
AU - Mathy, Laurent
AU - Yeung, Wai Kit
PY - 2005/9/26
Y1 - 2005/9/26
N2 - Traditionally, distributed resource management/ scheduling systems for the Grid (e.g. Globus/ GRAM/ Condor-G) have tended to deal with coarse-grained 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.
AB - Traditionally, distributed resource management/ scheduling systems for the Grid (e.g. Globus/ GRAM/ Condor-G) have tended to deal with coarse-grained 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.
UR - http://www.scopus.com/inward/record.url?scp=24944574522&partnerID=8YFLogxK
UR - https://link.springer.com/chapter/10.1007/11508380_80
M3 - Conference article
AN - SCOPUS:24944574522
SN - 0302-9743
VL - 3470
SP - 786
EP - 795
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
T2 - European Grid Conference on Advances in Grid Computing - EGC 2005
Y2 - 14 February 2005 through 16 February 2005
ER -