This paper is concerned with the clock synchronization problem for IEEE 1588 networks.First,the synchronization error is described as a bounded disturbance,and a linear extended state observer (LESO)is designed to est...This paper is concerned with the clock synchronization problem for IEEE 1588 networks.First,the synchronization error is described as a bounded disturbance,and a linear extended state observer (LESO)is designed to estimate the lumped disturbance induced by the oscillator frequency drift and timestamps quantization errors.Then,the lumped disturbance is compensated by the proposed controller.The proposed approach has the advantage that it's able to deal with non-Gaussian disturbance induced by accumulated quantization errors.Simulations are Drovided to validate the effectiveness and superiority of the proposed approach.展开更多
The power-law node degree distributions of peer-to-peer overlay networks make them extremely robust to random failures whereas highly vulnerable under intentional targeted attacks. To enhance attack survivability of t...The power-law node degree distributions of peer-to-peer overlay networks make them extremely robust to random failures whereas highly vulnerable under intentional targeted attacks. To enhance attack survivability of these networks, DeepCure, a novel heuristic immunization strategy, is proposed to conduct decentralized but targeted immunization. Different from existing strategies, DeepCure identifies immunization targets as not only the highly-connected nodes but also the nodes with high availability and/or high link load, with the aim of injecting immunization information into just right targets to cure. To better trade off the cost and the efficiency, DeepCure deliberately select these targets from 2-local neighborhood, as well as topologically-remote but semantically-close friends if needed. To remedy the weakness of existing strategies in case of sudden epidemic outbreak, DeepCure is also coupled with a local-hub oriented rate throttling mechanism to enforce proactive rate control. Extensive simulation results show that DeepCure outperforms its competitors, producing an arresting increase of the network attack tolerance, at a lower price of eliminating viruses or malicious attacks.展开更多
基金supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No.LR16F030005
文摘This paper is concerned with the clock synchronization problem for IEEE 1588 networks.First,the synchronization error is described as a bounded disturbance,and a linear extended state observer (LESO)is designed to estimate the lumped disturbance induced by the oscillator frequency drift and timestamps quantization errors.Then,the lumped disturbance is compensated by the proposed controller.The proposed approach has the advantage that it's able to deal with non-Gaussian disturbance induced by accumulated quantization errors.Simulations are Drovided to validate the effectiveness and superiority of the proposed approach.
基金This research work is supported in part by the National High Technology Research and Development 863 Program of China under Grant No.2004AA104270.
文摘The power-law node degree distributions of peer-to-peer overlay networks make them extremely robust to random failures whereas highly vulnerable under intentional targeted attacks. To enhance attack survivability of these networks, DeepCure, a novel heuristic immunization strategy, is proposed to conduct decentralized but targeted immunization. Different from existing strategies, DeepCure identifies immunization targets as not only the highly-connected nodes but also the nodes with high availability and/or high link load, with the aim of injecting immunization information into just right targets to cure. To better trade off the cost and the efficiency, DeepCure deliberately select these targets from 2-local neighborhood, as well as topologically-remote but semantically-close friends if needed. To remedy the weakness of existing strategies in case of sudden epidemic outbreak, DeepCure is also coupled with a local-hub oriented rate throttling mechanism to enforce proactive rate control. Extensive simulation results show that DeepCure outperforms its competitors, producing an arresting increase of the network attack tolerance, at a lower price of eliminating viruses or malicious attacks.
