Grids enable sharing resources of heterogeneous nature and administration. In such distributed systems, the network is usually taken for granted which is potentially problematic due to the complexity and unpredictability of public networks that typically underlie grids. This article introduces GridMAP, a mechanism for considering the network state for enhancing grid scheduling. Network measurements are collected in a passive manner from a user-centric vantage point. This mechanism has been evaluated on a production e-science grid infrastructure, with results showing the ability of GridMAP to improve grid scheduling with minimal network, computational and deployment overheads
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
The problem of data movement is entral to distributed omputing paradigms like the Grid. While ofte...
Abstract Grids enable sharing resources of heteroge-neous nature and administration. In such distrib...
Grids offer the potential to carry out difficult computing tasks and achieve superior aggregate perf...
The grid computing paradigm has facilitated the instrumentation of complex, highly-demanding collabo...
ABSTRACT Monitoring in a grid environment involves the analysis of all resource metrics and network...
Abstract—Grids offer the potential to carry out difficult computing tasks and achieve superior aggre...
Computational Grids consist of an aggregation of data and computing resources, which can be co-allo...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Grid technologies have enabled the aggregation of geograph-ically distributed resources, in the cont...
Grid Computing is an evolving discipline in the field of Distributed Computing, whose main focus is ...
Grid computing is a new paradigm that enables the distributed coordination of resources and services...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
The problem of data movement is entral to distributed omputing paradigms like the Grid. While ofte...
Abstract Grids enable sharing resources of heteroge-neous nature and administration. In such distrib...
Grids offer the potential to carry out difficult computing tasks and achieve superior aggregate perf...
The grid computing paradigm has facilitated the instrumentation of complex, highly-demanding collabo...
ABSTRACT Monitoring in a grid environment involves the analysis of all resource metrics and network...
Abstract—Grids offer the potential to carry out difficult computing tasks and achieve superior aggre...
Computational Grids consist of an aggregation of data and computing resources, which can be co-allo...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
Grid technologies have enabled the aggregation of geographically distributed resources, in the conte...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Grid technologies have enabled the aggregation of geograph-ically distributed resources, in the cont...
Grid Computing is an evolving discipline in the field of Distributed Computing, whose main focus is ...
Grid computing is a new paradigm that enables the distributed coordination of resources and services...
In Grids scheduling decisions are often made on the basis of jobs being either data or computation i...
Computational Grids consist of a multitude of geographically distributed resources. The co-allocatio...
The problem of data movement is entral to distributed omputing paradigms like the Grid. While ofte...