A Framework For Scalable Distributed Job Processing With Dynamic Load Balancing Using Decentralized Approach
About Book
A distributed system consists of many heterogeneous processors with different processing power and all processors are interconnected with a communication channel. In such a system, if some processors are less loaded or idle and others are heavily loaded, the system performance will be reduced drastically. System performance can be improved by using proper load balancing. The aim of load balancing is to improve the performance measures and reduce the overall completion time and cost.
Since the usage of computers in business data processing, there has been quite a lot of progress in developing technologies that support faster application development, transactional systems, databases, OLTP systems, MIS systems, scientific applications etc. There are various middleware platforms that support implementation of decoupled transaction processing systems and integration with heterogeneous systems.
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