TY  - BOOK
AU  - Dudin,Alexander
AU  - Turck,Koen De
ED  - SpringerLink (Online service)
TI  - Analytical and Stochastic Modeling Techniques and Applications: 20th International Conference, ASMTA 2013, Ghent, Belgium, July 8-10, 2013. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783642394089
AV  - QA76.758 
U1  - 005.1 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer science
KW  - Computer communication systems
KW  - Computer system failures
KW  - Software engineering
KW  - Algorithms
KW  - Mathematical statistics
KW  - Computer Science
KW  - Software Engineering
KW  - Computer Communication Networks
KW  - System Performance and Evaluation
KW  - Information Systems Applications (incl. Internet)
KW  - Probability and Statistics in Computer Science
KW  - Algorithm Analysis and Problem Complexity
N1  - Complex systems -- Computer and information systems -- Communication systems and networks -- Wireless and mobile systems and networks -- Peer-to-peer application and services -- Embedded systems and sensor networks -- Workload modeling and characterization -- Road traffic and transportation -- Social networks -- Measurements and hybrid techniques -- Modeling of virtualization -- Energy-aware optimization -- Stochastic modeling for systems biology -- Biologically inspired network design
N2  - This book constitutes the refereed proceedings of the 20th International Conference on Analytical and Stochastic Modelling and Applications, ASMTA 2013, held in Ghent, Belgium, in July 2013. The 32 papers presented were carefully reviewed and selected from numerous submissions. The focus of the papers is on the following application topics: complex systems; computer and information systems; communication systems and networks; wireless and mobile systems and networks; peer-to-peer application and services; embedded systems and sensor networks; workload modelling and characterization; road traffic and transportation; social networks; measurements and hybrid techniques; modeling of virtualization; energy-aware optimization; stochastic modeling for systems biology; biologically inspired network design
UR  - http://dx.doi.org/10.1007/978-3-642-39408-9
ER  -