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EGC
2005
Springer
14 years 2 months ago
GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments
Abstract. The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals an...
Chris Mattmann, Sam Malek, Nels Beckman, Marija Mi...
MIDDLEWARE
2007
Springer
14 years 2 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
INTENSIVE
2009
IEEE
14 years 3 months ago
A Service for Data-Intensive Computations on Virtual Clusters
Digital Preservation deals with the long-term storage, access, and maintenance of digital data objects. In order to prevent a loss of information, digital libraries and archives a...
Rainer Schmidt, Christian Sadilek, Ross King
IPPS
2007
IEEE
14 years 2 months ago
Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Hui Li, Lex Wolters
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 8 months ago
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments
In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...