Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
Proceedings of the 20th International Conference on Analytical and Stochastic Modeling and Applications
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.
Content Level »Research
Keywords »dynamic programming - performance evaluation - queueing systems and networks - spatial modeling - stochastic networks
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.