Optimal Resource Scaling for HPC in Windows Azure

Partial Learning Model of Dyslexic Learner

Web Service Performance Analysis in Virtual Environment

(16) pp. 167-176 Marjan Gusev , Sasko Ristov and Goran Velkoski

MMCacheSim: A Highly Configurable Matrix Multiplication Cache Simulator

Architecture of an electronic student services system and its implementation

On the Convergence of Distance Vector Routing Protocols

(47) pp. 459-468 Dejan Spasov and Marjan Gusev

Cloud e-University services

Hybrid 2D/1D Blocking as Optimal Matrix-Matrix Multiplication

Optimal Cache Replacement Policy for Matrix Multiplication

Compute and Memory Intensive Web Service Performance in the Cloud

Superlinear Speedup for Matrix Multiplication in GPU Devices

(28) pp. 285-294 Leonid Djinevski , Sasko Ristov and Marjan Gusev

Optimal Configuration of GPU Cache Memory to Maximize the Performance

Information Security Management System for Cloud Computing

Business Continuity Challenges in Cloud Computing

Beyond the Basics of the Adaptive Learning

Modifications and Improvements on CEN/BII Profiles

Evaluation methodology for national enterprise architecture frameworks

Self- Describing globally accessible software components

(8) pp. 313-324 Igorco Pandurski and Marjan Gusev

Architecture of a Identity Based Firewall System

(9) pp. 325-326 Nenad Stojanovski and Marjan Gusev

Analysis of Cloud Solutions for Asset Management

(26) pp. 345-355 Goran Kolevski and Marjan Gusev

A New Methodology to Analyze Micro Assessment Solutions

(10) pp. 327-341 Aleksandar Bundovski and Marjan Gusev

Modeling the Speedup for Scalable Web Services

(18) pp. 177-186 Sasko Ristov , Marjan Gusev and Goran Velkoski

Urban Policy Modelling: A Generic Approach

Implementation of a Scalable L3B Balancer

(21) pp. 195-204 Sasko Ristov , Marjan Gusev and Kiril Cvetkov

Performance Analysis of ECG Processing on Mobile Devices

Correlating Heart Rate Variability to Glucose Levels

Selecting an Optimal Training Dataset for Machine Learning based Atrial Fibrillation Detection

Deep Neural Networks Approach to Detecting Atrial Fibrillation from Beat Annotations