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Mapping algorithms optimizing the overall manhattan distanc..:

, In: Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing,

Linnert, Barry ; Schneider, Joerg ; Burchard, Lars-Olof - p. 132-140 , 2014

Link: https://dl.acm.org/doi/10.1109/CCGrid.2014.67

RT 
T1 <cTitle>Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing</cTitle>: T1 <Title>Mapping algorithms optimizing the overall manhattan distance for pre-occupied cluster computers in SLA-based grid environments</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3353179&Exemplar=1&LAN=DE
				
A1 Linnert, Barry
A1 Schneider, Joerg
A1 Burchard, Lars-Olof
PB IEEE Press
YR 2014
K1 Networks
K1 Network performance evaluation
K1 Computer systems organization
K1 Dependable and fault-tolerant systems and networks
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Architectures
K1 Distributed architectures
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Distributed systems organizing principles
K1 Software creation and management
K1 Software verification and validation
K1 Software defect analysis
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Sequential decision making
K1 Contextual software domains
K1 Operating systems
K1 Process management
K1 Scheduling
SP 132
OP 140
LK http://dx.doi.org/https://dl.acm.org/doi/10.1109/CCGrid.2014.67
DO https://dl.acm.org/doi/10.1109/CCGrid.2014.67
SF ELIB - SuUB Bremen

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