Heuristics Resources Scheduler by LMS Sample Clauses

Heuristics Resources Scheduler by LMS. The Hierarchical scheduler by LMS has been implemented as a Java application. The scheduler is a decision-making module for extracting an efficient module of the required tasks [1]. For each different use case that the algorithm is used, remodeling is required. The problem that the scheduler solves is the resource allocation problem [2], where the problem seeks to find an optimal allocation of a discrete resource units to a set of tasks. The algorithm that LMS implemented is based on the scientific research of [3]. It is based on the depth of search concept, except the number of layers for which the search method looks ahead. The main control parameters are the Decision Horizon (DH), the Sampling Rate (SR) and the Maximum Number of Alternatives (MNA). In each decision point based on the DH, SR and MNA is created a decision tree. The figure 31 below shows the nodes 𝐴1 … . 𝐴𝑁 that represents decision point where a task is assigned to an operator. The proper selection of MNA, DH and SR allow the identification of a good solution. For example, in [3] is proven that the probability of identifying an alternative of good quality (I.e., utility value within a range Δ with respect to the highest utility value) is increasing with the MNA and Δ. The pseudocode of the algorithm is defined below [5]:
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