A QoS-aware exception handling method in scientific workflow execution

2011 ◽  
Vol 23 (16) ◽  
pp. 1951-1968 ◽  
Author(s):  
Lianyong Qi ◽  
Wenmin Lin ◽  
Wanchun Dou ◽  
Jian Jiang ◽  
Jinjun Chen
Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 169 ◽  
Author(s):  
Na Wu ◽  
Decheng Zuo ◽  
Zhan Zhang

Improving reliability is one of the major concerns of scientific workflow scheduling in clouds. The ever-growing computational complexity and data size of workflows present challenges to fault-tolerant workflow scheduling. Therefore, it is essential to design a cost-effective fault-tolerant scheduling approach for large-scale workflows. In this paper, we propose a dynamic fault-tolerant workflow scheduling (DFTWS) approach with hybrid spatial and temporal re-execution schemes. First, DFTWS calculates the time attributes of tasks and identifies the critical path of workflow in advance. Then, DFTWS assigns appropriate virtual machine (VM) for each task according to the task urgency and budget quota in the phase of initial resource allocation. Finally, DFTWS performs online scheduling, which makes real-time fault-tolerant decisions based on failure type and task criticality throughout workflow execution. The proposed algorithm is evaluated on real-world workflows. Furthermore, the factors that affect the performance of DFTWS are analyzed. The experimental results demonstrate that DFTWS achieves a trade-off between high reliability and low cost objectives in cloud computing environments.


2013 ◽  
Vol 336-338 ◽  
pp. 1309-1314
Author(s):  
Zhen Hui Li ◽  
Hong Guang Wang ◽  
Hong Zhi Zhang ◽  
Feng Ren Jing

This paper presents an automatic inspection robot for insulators installed on 500kV power transmission lines. In order to detect the poor insulators automatically, the robot’s behaviors are analyzed, and a behavior control model based on Finite State Machine (FSM) is established. Moreover, an exception handling method is proposed based on sensors and timers. The results of experiments in the laboratory prove that the control methods mentioned above are correct and valid. Experiments on a 500kV transmission live line show that the inspection robot can not only automatically move along the double insulator strings with variable intervals, but also reliably handle the abnormal conditions including slipping, power shortage, deadlocking, sensor abnormity, and probe loosening.


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