Visualization Symposium, IEEE Pacific (2014)
Yokohama, Japan Japan
Mar. 4, 2014 to Mar. 7, 2014
Alexandros Panagiotidis , Visualization Res. Center, Univ. of Stuttgart, Stuttgart, Germany
Guido Reina , Visualization Res. Center, Univ. of Stuttgart, Stuttgart, Germany
Thomas Ertl , Visualization Res. Center, Univ. of Stuttgart, Stuttgart, Germany
As systems grow at an increasing pace to keep up with the demand for larger data and ever more detailed simulations, failures also occur more frequently on various levels. Traditionally, fault tolerance for visualization is either disregarded due to performance reasons or handled analogously to the state of the art for high performance computing (HPC), for example rollback-recovery. In this paper we summarize the inherent challenges of distributed visualization as well as the applicability and differences of fault tolerance methods used in HPC and distributed visualization. We derive complementary methods to increase the resilience of such systems and present visualization specific methods for failure semantics and masking.
Data visualization, Fault tolerant systems, Rendering (computer graphics), Redundancy, Distributed databases, Semantics
A. Panagiotidis, G. Reina and T. Ertl, "Strategies for Fault-Tolerant Distributed Visualization," 2014 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Yokohama, Japan, 2014, pp. 286-290.