Title
Cluster abstraction: towards uniform resource description and access in multicluster grid
Abstract
Multicluster Grid has emerged as a major approach for people to pursue substantial computational capability improvement to support large-scale compute-intensive applications. However, it is challenging on how to efficiently manage application execution across the participating clusters, since the participating clusters are geographically distributed, heterogeneous, and self- administrative, and the network connection provided by the Internet is vulnerable in security and unpredictable in performance. The challenges include how to discover resource information, how to handle application workflow, how to allocate appropriate resources, how to make application execution reliable to endure system failures, etc. This paper proposes cluster abstraction to uniform describe and access resources in multicluster Grid. After investigating various cluster resource management systems, a reference description of cluster abstraction is presented to cover cluster computing characteristics, hiding individual cluster details for use. Following this concept, a deployment service is discussed. This deployment service is one of the essential components in ongoing resource management development for multicluster Grids.
Year
DOI
Venue
2007
10.1109/IMSCCS.2007.79
Iowa City, IA
Keywords
Field
DocType
cluster abstraction,ing cluster,access resource,cluster resource management systems,abstract multicluster grid,application workflow,multicluster grid access,grid computing,resource information,system failures,cluster computing characteristic,deployment service,large-scale compute-intensive applications,application execution,resource allocation,uniform resource description,internet,individual cluster detail,towards uniform resource description,workstation clusters,network connection,ous cluster resource management,cluster computing,multicluster grid maoyuan xie,resource manager
Resource management,Software deployment,Grid computing,Computer science,Resource allocation,Workflow,Grid,Computer cluster,The Internet,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-3039-0
2
0.40
References 
Authors
12
4
Name
Order
Citations
PageRank
Maoyuan Xie131.11
Zhifeng Yun2916.95
Zhou Lei3175.15
Gabrielle Allen4839116.72