Fault detection and fault tolerance in a loosely integrated heterogeneous database system

Author(s):  
Wanlei Zhou
2013 ◽  
Vol 756-759 ◽  
pp. 1403-1407
Author(s):  
Zhen You Zhang ◽  
Zi Qi Zhao ◽  
Zhi Cao

Between each node database there must be different in the distributed heterogeneous database system, so how to resolve these different (It's said that realize the mutual transformation between heterogeneous databases) was an basic problem in the heterogeneous database system. This paper analyzes the system structure and the conversion mechanism for the distributed heterogeneous database and the realization of the conversion module theoretical including the conversion information extraction module, structural conversion module, structure formation module and put forward a concrete realization solutions.


2019 ◽  
Vol 124 (1273) ◽  
pp. 385-408
Author(s):  
M. Saied ◽  
B. Lussier ◽  
I. Fantoni ◽  
H. Shraim ◽  
C. Francis

ABSTRACTThis paper considers actuator redundancy management for a redundant multirotor Unmanned Aerial Vehicle (UAV) under actuators failures. Different approaches are proposed: using robust control (passive fault tolerance), and reconfigurable control (active fault tolerance). The robust controller is designed using high-order super-twisting sliding mode techniques, and handles the failures without requiring information from a Fault Detection scheme. The Active Fault-Tolerant Control (AFTC) is achieved through redistributing the control signals among the healthy actuators using reconfigurable multiplexing and pseudo-inverse control allocation. The Fault Detection and Isolation problem is also considered by proposing model-based and model-free modules. The proposed techniques are all implemented on a coaxial octorotor UAV. Different experiments with different scenarios were conducted for the validation of the proposed strategies. Finally, advantages, disadvantages, application considerations and limitations of each method are examined through quantitative and qualitative studies.


1994 ◽  
Vol 20 (5) ◽  
pp. 421-435 ◽  
Author(s):  
M.L. Visinsky ◽  
J.R. Cavallaro ◽  
I.D. Walker

CONVERTER ◽  
2021 ◽  
pp. 100-106
Author(s):  
Haitao Li

Based on the in-depth study of the existing database synchronization model, in order to improve the cross platform ability of the system and facilitate the construction of small and medium-sized enterprise information platform, this paper proposes a heterogeneous distributed computing scheme based on Web service. The scheme uses JMS to realize the message transmission between systems, and uses web service technology to realize cross platform data reading and writing. In the aspect of distributed transaction processing, the two-phase commit protocol is improved to reduce the probability of system deadlock and effectively ensure the consistency of distributed database data. In order to improve the performance of distributed database system, cache technology is introduced, and the way of integrating cache and database transaction processing is proposed, which effectively ensures the validity of cache data. The architecture is oriented to program developers, who can develop efficient and convenient distributed database system on the basis of this architecture. Finally, this architecture is applied to the background management system of mobile express service. The running results show that the architecture can well meet the business requirements of distributed heterogeneous database system synchronization.


2015 ◽  
Vol 5 (2) ◽  
pp. 36-52 ◽  
Author(s):  
Sikha Bagui ◽  
Loi Tang Nguyen

In this paper, the authors present an architecture and implementation of a distributed database system using sharding to provide high availability, fault-tolerance, and scalability of large databases in the cloud. Sharding, or horizontal partitioning, is used to disperse the data among the data nodes located on commodity servers for effective management of big data on the cloud.


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