An algorithm for concurrency control and recovery in replicated distributed databases
ACM Transactions on Database Systems (TODS)
Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Handbook of image processing operators
Handbook of image processing operators
Complex-Valued Neural Networks: Theories and Applications (Series on Innovative Intelligence, 5)
Complex-Valued Neural Networks: Theories and Applications (Series on Innovative Intelligence, 5)
Complex-valued multistate neural associative memory
IEEE Transactions on Neural Networks
Surveillance of video signals over computer networks
ACC'11/MMACTEE'11 Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing
Real-time transmission of video streaming over computer networks
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
A new fast neural network model
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
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Effective data object replication protocols in today's competitive enterprise environment is an important issue. Fast and effective access to distributed object store is very important. Replication is considered a widely accepted phenomenon in distributed object systems, where object is replicated at more than one site to improve availability, reliability and the performance of data access. Many distributed object systems based on fully replication is suffering from the problem of one manager who is responsible for the store consistency and transaction serialization. These systems are suffering from bottleneck problem where there is no load balance between the nodes in the system. In this paper, a new approach for solving bottleneck problem and reducing the overhead of one manager node by extending to several managers nodes based on the Last Recently Used Updator (LRUU) algorithm is presented. This new protocol gives better load balancing between all nodes which improves the performance of transaction execution while assuring global system consistency. Here, the work presented in [6] is developed. To detect the required information, the entire data are collected together in a long vector and then tested as a one input pattern. Proposed fast time delay neural networks (FTDNNs) use cross correlation in the frequency domain between the tested data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented time delay neural networks is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.