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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 equipment, in addition to advances in computing device imaginative and prescient, present factor in sizeable facts and cloud computing, computation linguistics, cyber-physical structures in addition to issues in clever details administration. Written via energetic researchers, different chapters are according to contributions awarded on the workshop in clever structures and computing (ISC), held in the course of CSIT 2016, September 6-9, and together geared up through 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 booklet presents teachers and pros with wide details and a well timed picture of the sphere of clever structures, and it truly is anticipated to foster new discussions and collaborations between diverse groups.

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A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega 35, 247–257 (2007) 15. : A method for hesitant fuzzy multiple attribute decision making and its application to risk investment. J. Converg. Inf. Technol. 6, 282–287 (2011) 16. : An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring. Eur. J. Oper. Res. 195, 942–959 (2009) 17. : Fuzzy Sets. Inf. Contr. 8, 338–353 (1965) 18. : Continuous-time mean-variance portfolio selection: a stochastic LQ framework.

PM PM ResPM AVAIL ¼ ResTh À ResP ; ð3Þ PM where ResPM Th is the total resource amount up to the max threshold, ResP is the predicted resource load. Considering priority of SLA violation avoidance, the consolidation process runs first against the candidate PMs. The PM chosen for migration as a target will be tagged as “CON” tag. Thereby, the reply list with the PMs to assign new requested VM or a set of VMs GVM contains only “AV” tagged PMs, Fig. 2. The ASDM periodically receives a CPU; RAM; NET; STIO capacity and other information from all the PMs and VMs in the data center through their PMMs.

The proposed framework allows users and researchers to develop and evaluate customizable SDD solutions. 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.

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