Publicado en 3C Tecnología. Special Issue – May 2019
Distributed database servers are very popular as they provide data availability, reliability, replication, and partition for both homogeneous as well as heterogeneous software and hardware. In this paper, we analyze the previous works on load balancing of database servers. Further we also propose an algorithm for controlling job distribution at the database servers in different node partitions. We also formulate a methodology for load status evaluation of database servers to balance their loads for effective load status management. The load status of the database servers depends on three important parameters namely processor, RAM, and bandwidth. On the basis of load status, the clients’/users’ requests can then be directed to another database in a distributed environment in order to balance the load effectively to meet user demands in an unobtrusive manner.
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Load balancer, DBalancer, Balance controller, M/M/c: ∞/ ∞ model, M/M/c: N/ ∞ model, Bully algorithm, Dlb.