Fluχ: a quality-driven dataflow model for data intensive computing

A Data-driven Method for Crowd Simulation using a Holonification Model

In this paper, we present a data-driven method for crowd simulation with holonification model. With this extra module, the accuracy of simulation will increase and it generates more realistic behaviors of agents. First, we show how to use the concept of holon in crowd simulation and how effective it is. For this reason, we use simple rules for holonification. Using real-world data, we model the...

A Dataflow Model for .net-based Grid Computing Systems

This paper presents the design, implementation and evaluation of a dataflow system, including a dataflow programming model and a dataflow engine, for coarse-grained distributed data intensive applications. The dataflow programming model provides users with a transparent interface for application programming and execution management in a parallel and distributed computing environment. The datafl...

Data Intensive Computing for Bioinformatics

Towards automated data-driven model creation for cloud computing simulation

The increasing complexity and scale of cloud computing environments due to widespread data centre heterogeneity makes measurement-based evaluations highly difficult to achieve. Therefore the use of simulation tools to support decision making in cloud computing environments to cope with this problem is an increasing trend. However the data required in order to model cloud computing environments ...

A Dataflow System for Unreliable Computing Environments

This paper presents the design, implementation and evaluation of a dataflow system, including a dataflow programming model and a dataflow engine, for coarse-grained distributed data intensive applications. The dataflow programming model provides users with a transparent interface for application programming and execution management in a parallel and distributed computing environment. The datafl...