An adaptive task-level fault-tolerant approach to Grid

Abstract

A strong failure recovery mechanism handling diverse failures in heterogeneous and dynamic Grid is so important to ensure the complete execution of longrunning applications. Although there have been various efforts made to address this issue, existing solutions either focus on employing only one single fault-tolerant technique without considering the diversity of failures, or propose some frameworks which cannot deal with various kinds of failures adaptively in Grid. In this paper, an adaptive task-level, fault-tolerant approach to Grid is proposed. This approach aims at handling quite a complete set of failures arising in Grid environment by integrating basic fault-tolerant approaches. Moreover, this paper puts forward that resource consumption (not received enough attention) is also an important evaluation metric for any fault-tolerant approach. The corresponding evaluation models based on mean execution time and resource consumption are constructed to evaluate any faulttolerant approach. Based on the models, we also demonstrate the effectiveness of our approach and illustrate the performance gains achieved via simulations. The experiments based on a real Grid have been made and the results show that our approach can achieve better performance and consume less resource.

High-Availability Computing Platform with Sensor Fault Resilience

“…According to prior studies [ 14 , 15 , 16 , 17 ], a cloud computing system can be abstracted into multiple layers, where the functionality of the upper layer depends on that of the lower layers [ 18 , 19 ]. For example, the host OS layer depends on the host power layer, the host network layer depends on the lower two layers, and the VM process layer depends on the lower three layers, as shown in Figure 1 .…”