Optimization of the corporate cluster structure using the Tabu Search method

The paper presents a new approach to optimising cluster structure by selecting servers to meet specified performance requirements while minimising costs. Modern applications are placing increasing demands on performance and are critical elements of business operations. As a result, the operation of such applications increasingly relies on server clusters. Selecting the type and number of servers is not a trivial task. The problem is further complicated by the widespread use of layered application architectures, which means that different hardware solutions may be optimal for handling different layers. The article proposes a technique that uses the Tabu Search heuristic in conjunction with a BCMP-based application model. An optimisation algorithm for the cluster structure is presented in two versions: minimising the solution cost while meeting performance requirements, and maximising performance while meeting budget constraints.