Grid computing platforms require automated and distributed resource allocation with controllable quality-of-service (QoS). Market-based allocation these features using the compleme...
This paper presents a scalable time-stepped hybrid simulation algorithm which is well adapted to the simulation of large IP networks (up to one million of competing flows and netw...
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
The conventional computing Grid has developed a service oriented computing architecture with a superlocal resource management and scheduling strategy. This architecture is limited...