Resource Aware Monitoring in Distributed System using Tabu Search Algorithm

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Tabu search algorithm like simulated annealing or evolutionary algorithm or genetic algorithm and guided local search algorithm is an effective solution of optimization problem. This is the most comprehensive combinatorial optimization technique available for treating difficult problems. It is a neighborhood based search method which is very useful in distributed system for monitoring application. Distributed operation of applications involve: multiple applications deployed over different sets of hosts e.g. datacenters. Application state monitored the performance of both systems and applications running on large-scale distributed systems. It is constantly collecting detailed performance attribute values as a large number of nodes & a large number of attributes.

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