Abstract Energy usage of data centers is a challenging and complex issue because computing applications and data are growing so quickly that increasingly larger servers and disks are needed to process them fast enough within the required time period. In the past few years, many approaches to virtual machine placement have been proposed. This study proposes a new approach for virtual... Energy usage of data centers is a challenging and complex issue because computing applications and data are growing so quickly that increasingly larger servers and disks are needed to process them fast enough within the required time period. In the past few years, many approaches to virtual machine placement have been proposed. This study proposes a new approach for virtual machine allocation to physical hosts. Either minimizes the physical hosts and avoids the SLA violation. The proposed method in comparison to the other algorithms achieves better results. Read More Read Less

Abstract We report soft computing approach for predicting usability of library websites using Fuzzy Inference system (FIS) and Artificial Neural Network (ANN). Proposed model is the fusion of these two computing paradigms to create a successful synergic effect. The website usability dataset is derived from doctoral thesis on Usability Evaluation of Library Websites [1]. Usability index (UI) determinants such as visibility,... We report soft computing approach for predicting usability of library websites using Fuzzy Inference system (FIS) and Artificial Neural Network (ANN). Proposed model is the fusion of these two computing paradigms to create a successful synergic effect. The website usability dataset is derived from doctoral thesis on Usability Evaluation of Library Websites [1]. Usability index (UI) determinants such as visibility, SR_world, user control, consistency, error, recognition, flexibility, aesthetic, recovery, documentation, effectiveness, efficiency, memorability, learnability, satisfaction and motivation are considered here for computing. The reported investigations depicts optimum ANN architecture achieved by tuning the parameters viz. network type, training function, transfer function and number of neurons in hidden neurons. ANN architecture, thus derived entails nonlinear sigmoid activation function for hidden layer and Levenberg-Marquardt back propagation method for training the model. Moreover the performance of the model is evaluated with reference to Mean Squared Error (MSE), Pearson Correlation Coefficient (r) and Gradient (g). Validation of the model has portrayed reasonably good prediction accuracy. Read More Read Less

Abstract The survey study in the current paper was performed to determine quality evaluation procedures for enterprise software packages used in Small and Medium Enterprises (SMEs) in Kazakhstan. Insufficient or misleading information about specialized software is a big problem businesses often don’t discuss openly. Some managers are forced to spend time determining if the software is appropriate for their business without... The survey study in the current paper was performed to determine quality evaluation procedures for enterprise software packages used in Small and Medium Enterprises (SMEs) in Kazakhstan. Insufficient or misleading information about specialized software is a big problem businesses often don’t discuss openly. Some managers are forced to spend time determining if the software is appropriate for their business without a trial period, because there is a lack of entry-level information about the new enterprise software. Business owners without the appropriate technical knowledge often miss crucial indicators in the software substitution process. Thus, the survey investigates the types of enterprise software used and who selects SME software in Kazakhstan businesses. The study represents three different criteria such as satisfaction, understanding and efficiency. Organizations rated their experience with enterprise software using these metrics. The results from the survey provide important insight to software vendors and organizations that develop enterprise systems in the surveyed region. Read More Read Less