Download Advances in Intelligent Systems and Computing: Selected by Natalya Shakhovska PDF

By Natalya Shakhovska

The booklet experiences on new theories and functions within the box of clever structures and computing. It covers computational and synthetic intelligence tools, in addition to advances in computing device imaginative and prescient, present factor in gigantic info and cloud computing, computation linguistics, cyber-physical structures in addition to issues in clever details administration. Written through lively researchers, the several chapters are in keeping with contributions offered on the workshop in clever platforms and computing (ISC), held in the course of CSIT 2016, September 6-9, and together prepared by means of the Lviv Polytechnic nationwide collage, Ukraine, the Kharkiv nationwide collage of Radio Electronics, Ukraine, and the Technical collage of Lodz, Poland, below patronage of Ministry of schooling and technology of Ukraine. All in all, the e-book presents lecturers and execs with broad details and a well timed photograph of the sector of clever structures, and it really is anticipated to foster new discussions and collaborations between diversified groups.

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Appraisal. 23, 147–154 (2005) 5. : The competencies of effective project managers: a conceptual analysis. Int. J. Manag. 22, 48–53 (2005) Fuzzy Evaluation Method for Project Profitability 27 6. : An interactive approach for selecting IR&D projects. IEEE Trans. Eng. Manag. 37, 126–131 (1990) 7. : Synthesis of modular-structured systems for automatization of decision-making process in transport logistics. Int. J. Comput. 11, 336–344 (2012) 8. : Designing an expert knowledge-based Systemic Importance Index for financial institutions.

In our previous research, we presented theoretical and practical results in the field of IT infrastructure management studies, including decomposing-compensating approach [19], a two-tier management system model with coordinator [20], the adaptive genetic algorithm [21], and the concept of corporate IT infrastructure management [22]. This research continues theoretical research in cloud data center architecture development direction and more advanced aspects not considered earlier, including: (1) how to leverage Software Defined approach to reach more effective results in the cloud data center management; (2) how to consider the dynamics of the new virtual machines deployment processes and the migration of virtual machines that occur simultaneously; and (3) how to predict the resource demand to achieve energy efficiency of virtual resource management.

Ua O. ua © Springer International Publishing AG 2017 N. 1007/978-3-319-45991-2_4 41 42 S. Telenyk et al. Á Á Keywords Cloud computing Software defined clouds IT infrastructure Resource management Workload prediction Virtualization Á Á Á 1 Introduction Computing has become a 5th utility (after water, electricity, telephony, and gas) due to increasing pervasive applications and IT services that can be accessed anytime and from anywhere over the Internet. A rapid shift to the cloud computing paradigm and proliferation of cloud computing services has increased the necessity and significance of improving the management efficiency of could infrastructures.

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