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GRID
2006
Springer
13 years 7 months ago
Metascheduling Multiple Resource Types using the MMKP
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
JSS
2007
93views more  JSS 2007»
13 years 7 months ago
Resource management for real-time tasks in mobile robotics
Coordinated behavior of mobile robots is an important emerging application area. Different coordinated behaviors can be achieved by assigning sets of control tasks, or strategies...
Huan Li, Krithi Ramamritham, Prashant J. Shenoy, R...
EUROPAR
2010
Springer
13 years 8 months ago
Toward Real-Time, Many-Task Applications on Large Distributed Systems
In the age of Grid, Cloud, volunteer computing, massively parallel applications are deployed over tens or hundreds of thousands of resources over short periods of times to complete...
Sangho Yi, Derrick Kondo, David P. Anderson
ICPP
2005
IEEE
14 years 1 months ago
Push-Pull: Guided Search DAG Scheduling for Heterogeneous Clusters
Consider a heterogeneous cluster system, consisting of processors with varying processing capabilities and network links with varying bandwidths. Given a DAG application to be sch...
Sang Cheol Kim, Sunggu Lee
ESCIENCE
2006
IEEE
14 years 1 months ago
Application-Level Resource Provisioning on the Grid
In this paper, we present algorithms for Grid resource provisioning that employ agreement-based resource management. These algorithms allow userlevel resource allocation and sched...
Gurmeet Singh, Carl Kesselman, Ewa Deelman