Title
CARE Resource Broker: A framework for scheduling and supporting virtual resource management
Abstract
Scheduling application in grid is a complex task that often fails due to nonavailability of resources and the required execution environment in the resources. The CARE Resource Broker (CRB) proposed in this paper addresses such scheduling scenarios using the concepts of virtualization. The virtualization technology offers effective resource management mechanisms such as isolated, secure job scheduling, and utilization of computing resources to the possible extent. However, lack of protocols and services to support virtualization technology in high level grid architecture does not allow management of virtual machines and virtual clusters in grid environment. CRB proposes and implements necessary protocols and services to support creation and management of virtual resources in the physical hosts. Unlike the conventional grid schedulers, CRB addresses several cases of failure of application scheduling such as nonavailability of enough computing nodes in a cluster, and, nonavailability of software execution environment in any of the grid resources. It deploys the required number of virtual machines in potential computing resources to meet the application requirements, and creates virtual clusters dynamically; configure with the required software execution environment for facilitating application execution. Thus, CRB improves the overall throughput by scheduling more applications than conventional grid schedulers and increases the utilization of underutilized computing resources in grid.
Year
DOI
Venue
2010
10.1016/j.future.2009.10.005
Future Generation Comp. Syst.
Keywords
Field
DocType
high level grid architecture,virtual machine,virtual resource management,resource broker,local resource manager,virtual cluster,virtual clusters dynamically,care resource broker,conventional grid schedulers,grid resource,virtualization technology,grid environment,grid scheduling,scheduling application,virtual resource,job scheduling,resource manager
Virtualization,Resource management,Virtual machine,Grid computing,Scheduling (computing),Computer science,Real-time computing,Semantic grid,Job scheduler,Dynamic priority scheduling,Distributed computing
Journal
Volume
Issue
ISSN
26
3
Future Generation Computer Systems
Citations 
PageRank 
References 
14
0.78
10
Authors
10