Catálogo de publicaciones - libros

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.

The paper presents a simulation-based approach to creation of decision support system for IT Service Management. The presented approach includes monitoring of stochastic data IT Services and calculation of measure of alignment to business goals with its characteristic basing on SLA/SLO. The approach combines the benefits of two kinds of models: analytical and simulation ones. The key idea of the paper is to demonstrate how modern methods of stochastic process analysis may enhance trustworthiness and quality of decision making along business goals within IT Services.