Title :
Dynamic virtual clusters in a grid site manager
Author :
Chase, Jeffrey S. ; Irwin, David E. ; Grit, Laura E. ; Moore, Justin D. ; Sprenkle, Sara E.
Author_Institution :
Dept. of Comput. Sci., Duke Univ., Durham, NC, USA
Abstract :
This paper presents new mechanisms for dynamic resource management in a cluster manager called Cluster-on-Demand (COD). COD allocates servers from a common pool to multiple virtual clusters (vclusters), with independently configured software environments, name spaces, user access controls, and network storage volumes. We present experiments using the popular Sun GridEngine batch scheduler to demonstrate that dynamic virtual clusters are an enabling abstraction for advanced resource management in computing utilities and grids. In particular, they support dynamic, policy-based cluster sharing between local users and hosted Grid services, resource reservation and adaptive provisioning, scavenging of the idle resources, and dynamic instantiation of Grid services. These goals are achieved in a direct and general way through a new set of fundamental cluster management functions, with minimal impact on the Grid middleware itself.
Keywords :
computer network management; grid computing; middleware; processor scheduling; resource allocation; workstation clusters; COD; Cluster-on-Demand; Grid computing; Sun GridEngine batch scheduler; adaptive provisioning; cluster management; dynamic clusters; dynamic resource management; dynamic virtual clusters; grid middleware; grid site manager; idle resources scavenging; multiple virtual clusters; policy-based cluster; resource reservation; utility computing; vclusters; Access control; Application software; Computer science; Dynamic scheduling; Grid computing; Middleware; Network servers; Processor scheduling; Resource management; Sun;
Conference_Titel :
High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on
Print_ISBN :
0-7695-1965-2
DOI :
10.1109/HPDC.2003.1210019