Supporting the security awareness of GA-based grid schedulers by artificial neural networks

Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2011

Volumn , Issue , 2011, Pages 277-284

  Bogdański, Marcin ^a   Kołodziej, Joanna ^b   Xhafa, Fatos ^c  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF BIELSKO BIALA   (Poland)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Artificial Neural Network; Computational Grid; Data Classification; Genetic Algorithm; Scheduling; Security

Indexed keywords

ACCESS POLICIES; ARTIFICIAL NEURAL NETWORK; COMPLEX NATURE; COMPUTATIONAL GRIDS; COMPUTATIONAL MODEL; DATA CLASSIFICATION; FLOW-TIME; GENETIC SCHEDULING ALGORITHM; GRID SCHEDULERS; NETWORK MONITORS; RELATIVE PERFORMANCE; RESOLUTION METHODS; SECURITY; SECURITY AWARENESS; TASK EXECUTIONS; TASK-SCHEDULING; TRUST LEVEL;

GENETIC ALGORITHMS; GRID COMPUTING; MULTITASKING; SCHEDULING ALGORITHMS;

NEURAL NETWORKS;

EID: 80052692338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISIS.2011.47     Document Type: Conference Paper

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