Gushev, Marjan
Preferred name
Gushev, Marjan
Official Name
Gushev, Marjan
Alternative Name
Gusev, Marjan
Gusev, M.
Gushev, M.
Main Affiliation
Email
marjan.gushev@finki.ukim.mk
142 results
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Item type:Publication, Resource Allocation for Maximum Performance and Minimum Cost for 3-tier SaaS Application in Azure(2014); ; ; Velkovski, GoranWindows Azure is one of the most common commercial clouds, which offers a scalable and elastic platform to host applications. The cloud customers can choose from various number of different type instances according to their needs in order to avoid application bottleneck. Scaling the resources can be done on two ways, i.e., either to increase the instance with additional resources (CPU, RAM, HDD), or to add an additional instances, each with the same resources as the first one. Since the customer should pay different price for the scaling, we are interested which scaling provides better performance, and if we can generalize it. The goal of this paper is to determine which resource organization produces better performance and cost, as well as better price-performance ratio, i.e., if it is better to host the web application in a large number of ”smaller” application instances or small number of ”bigger” instances. The results show that the latter provides much better performance for less price. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correlating the Cholesterol Levels to Glucose for Men and Women(Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia, 2020-05-08); ; Objectives: This paper explores the correlation between multiple cholesterol levels of the lipid profiles of patients and their diabetes regulation abilities in men and women. Methodology: The methodology includes the following techniques: i) Pearson correlation ii) Spearman rank correlation and iii) setting thresholds for certainty of class assumption. Data: The methods were applied on data from 161 patients of which 110 male and 41 female, analyzing the variables about patients’ age, height, weight, BMI, lipid profile (total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides), glycated hemoglobin levels with respective glucose regulation and diabetes classes, history of heart, diabetes and other chronic illnesses, habitual behaviors (smoking, alcohol consumption, physical activity), and medications intake (calcium channel blockers, BETA blockers, anti-arrhythmics, AKE/ARB inhibitors, diuretics, statins anti-aggregation medication and anticoagulants). Conclusion: Analyzing the correlations between the lipid profile and glucose regulation in patients led to different results when the analysis was done separately on men and women. Thus, better predictions and insights can be made dependent on gender. The research found no strong stand-alone correlation when analyzing all data, but when the data was segmented in male and female records, a strong negative linear (r=-0.52, p=0.001) and non-linear (r=-0.55, p=0.001) correlation was found for the HDL-C and glucose levels in female patients. In men, statistically significant negative correlations with HbA1c were assessed for Chol (r=-0.27, p=0.009), LDL-C (r=-0.33, p=0.002) and HDL-C (r=-0.23, p=0.026). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Trends from Minimally Invasive to Non-invasive Glucose Measurements(IEEE, 2020-09-28); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correlating Glucose Regulation with Lipid Profile(Springer International Publishing, 2020); ; Objectives: The goal of this research was to detect the glucose regulation class by evaluating the correlation between the lipid profile of patients and their glucose regulation class. Methodology: The methods used in this research are: i) Point Biserial Correlation, ii) Univariate Logistic Regression iii) Multivariate Logistic Regression iv) Pearson Correlation and v) Spearman Rank correlation. Data: The dataset consists of the following features: age, BMI, gender, weight, height, total cholesterol (Chol), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), triglycerides (TG), glycated hemoglobin (HbA1C), glucose regulation and diabetes classes, history of diabetes, heart and other chronic illnesses, habitual behaviors (smoking, alcohol consumption, physical activity), and medications intake (calcium channel blockers, BETA blockers, anti-arrhythmic, AKE/ARB inhibitors, diuretics, statins anti-aggregation medication and anticoagulants). Conclusion: The methodologies that were worked through with our data in search for correlations of the lipid profile with HbA1c or the glucose regulation classes gave some significant correlations. Regarding the glucose regulation classes W and B the methods showed statistically significant negative correlations with Chol, HDL-C and LDL-C. When it comes to the correlations of the lipid profile with HbA1c, for all patients there were significant negative correlations with Chol (corr = −0.264, p = 0.002), LDL-C (corr = −0.297, p < 0.001) and HDL-C (corr = −0.28, p = 0.001) and a significant positive correlation with TG (corr = 0.178, p = 0.03). The correlations mentioned are the stronger ones that were found for linear relationships. For non-diabetic patients there was a stronger positive non-linear correlation for HbA1c and HDL-C (corr = 0.511, p = 0.006), and a slightly weaker linear correlation (corr = 0.393, p = 0.043). For prediabetic patients there were no significant correlations. For type 2 diabetes stronger significant negative non-linear correlations were found for HbA1c with LDL-C (corr = −0.299, p = 0.023) and HDL-C (corr = −0.438, p = 0.001). The linear relationships were again, slightly weaker with LDL-C (corr = −0.273, p = 0.038) and with HDL-C (corr = −0.391, p = 0.002). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improving Multilevel Approach for Optimizing Collective Communications in Computational Grids(Springer Berlin Heidelberg, 2005); Collective operations represent a tool for easy implementation of parallel algorithms in the message-passing parallel programming languages. Efficient implementation of these operations significantly improves the performance of the parallel algorithms, especially in the Grid systems. We introduce an improvement of multilevel algorithm that enables improvement of the performance of collective communication operations. An implementation of the algorithm is used for analyzing its characteristics and for comparing its performance it with the multilevel algorithm. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Serverless Real-Time Data Analytics Platform for Edge Computing(Institute of Electrical and Electronics Engineers (IEEE), 2017) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A decade of engineering computer engineers(IEEE, 2017-04); ; ; ; Creating an optimal conditions for producing generations of successful Computer scientists and engineers is very demanding. Many aspects have to be taken into consideration. One of the factors is the quality of the Bachelor’s education system that actually enables the diplomas in Computer Science and Engineering. However, the students enrolling in the Bachelor’s system have to be optimally prepared to follow the curriculum. In this paper we present some of the many factors that influenced the generations of Computer scientists and engineers that have earned their BSc degree in the Faculty of Computer Science and Engineering, and the institutions that preceded this Faculty in the years before 2011. Such factors, investigated in this paper are: the changes in the primary and secondary educational system and the aspects of these systems that influence the informatics knowledge of the pupils on one hand, and on the other hand the evolution of the system of competitions in informatics that sparkles the interest in the talented pupils and enables the most talented and hardworking ones to compete in the international Olympiads in informatics. As a result of improving these two parallel systems, the number of enrolled students in the faculties that teach Computer Science and Engineering has raised. Moreover, some of these pupils have turned into great entrepreneurs and have started their own successful software companies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Windows Azure: Resource Organization Performance Analysis(Springer Berlin Heidelberg, 2014); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication,