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    Big Data Application Performance Prediction and Heterogeneous Resource Recommendation in Cloud

    , M.Sc. Thesis Sharif University of Technology Aseman Manzar, Mohammd Mohsen (Author) ; Movaghar Rahim Abadi, Ali (Supervisor)
    Abstract
    In the last years, we have seen a rapid growth of data generation that leads to an increasing need for data analysis and big data technologies. Meanwhile, cloud computing witnessed great popularity and has become one of the best platforms for big data analytics due to its flexibility and scalability. However, there is not an obvious method for choosing the right cluster configuration for running big data jobs in clouds. Because different big data applications, workloads and cloud configurations can lead to different costs. Moreover, a heterogeneous cluster can use the benefits of distinguished properties of each machine to reduce the cost and execution time of the big data application. The... 

    Cost-Aware resource recommendation for Dag-based big data workflows: an apache spark case study

    , Article IEEE Transactions on Services Computing ; Volume 16, Issue 3 , 2023 , Pages 1726-1737 ; 19391374 (ISSN) Aseman Manzar, M. M ; Karimian Aliabadi, S ; Entezari Maleki, R ; Egger, B ; Movaghar, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    The era of personal resources being sufficient for enterprise big data computations has passed. As computations are executed in the cloud, small policy changes of cloud operators may cause considerable changes in operational costs. Carefully choosing the amount of resources for a given application is thus of great importance. This, however, requires a priori knowledge of the application's performance under different configurations. Creating a performance prediction model needs to account for the heterogeneity of resources and the diversity in application workflows. Previous approaches for heterogeneous environments consider a black-box representation of the application which results in... 

    Control of Hiv-1 Infection Using Artificial Intelligence Methods

    , M.Sc. Thesis Sharif University of Technology Rezvani, Soheil (Author) ; Shahrokhi, Mohammd (Supervisor)
    Abstract
    This project presents algorithms for intelligent control of the viral load in a HIV-1 infection model. The first part of thesis was dedicated to the study of the three states model adopted to describe the HIV-1 infection. A sensitivity analysis of the model parameters was described and computer simulations were provided to show the influence of the parameters explicitly. Then, an internal model control based on neural networks was implemented on the introduced infection model with including the RTIs and PIs drugs efficacies as control input. A stable adaptive neuro-control approach was presented for affine in the control nonlinear dynamical systems, whose nonlinearities were assumed to be... 

    A New Immunization Algorithm Based on Spectral Properties for Complex Networks

    , M.Sc. Thesis Sharif University of Technology Zahedi, Ramin (Author) ; Khansari, Mohammd (Supervisor)
    Abstract
    Vaccination is one of the ways of disease control and prevention, which not only protect individuals against the disease, but also reduce the disease spread rate. Mass vaccination of individuals is not always possible due to the high cost and limitation of immunization resources. Therefore, researchers are always seeking solutions to find the persons that their immunization may have a greater impact in reduction of disease spread rate. The advent of network epidemic models and the possibility of removal the secured nodes in those models, showed that this problem is equivalent to finding a limited set of individuals that their removal will eliminate or minimize the number of people at risk of... 

    Design and Manufacturing of Power Station Heat Exchanger Type Test Tunnel

    , M.Sc. Thesis Sharif University of Technology Fadakar Kourkah, Farshad (Author) ; Durali, Mohammd (Supervisor)
    Abstract
    This thesis focuses on the design procedures of a Type Test tunnel intended to be used for performance verification of large electrical generator air to water coolers with a dimension of 3*3 meters. Using guidelines of related standards the tunnel was designed and modified to satisfy the requirements set by installation site and manufacturing limitations. As this required some deviations from standard guide lines, the correctness of the final design was evaluated using numerical computation of flow inside the tunnel. The tunnel structure and its internal parts were analyzed for strength and deflections. Using the results of numerical computations, the other main equipments of tunnel such... 

    Approximating Edit Distance

    , Ph.D. Dissertation Sharif University of Technology Safarnejad Boroujeni, Mahdi (Author) ; Ghodsi, Mohammd (Supervisor)
    Abstract
    Edit distance or Levenshtein distance is one of the most fundamental problems in computer science and engineering to measure the dissimilarity between strings.This problem is solvable in O(n^2) time using dynamic programming and in 2015 it was conditionally proven that no truly subquadratic time algorithm (\textit{i.e.}, O(n^{2-ε})) exists for edit distance.Since 2001, approximating edit distance within a constant factor was recognized as one of the biggest unsolved problems in the field of combinatorial pattern matching.This thesis designs seven approximation algorithms for edit distance and its related problems.Firstly, two quantum approximation algorithms are designed with constant... 

    Design and Implementation of Three Phase Regenerative Electronic AC Load

    , M.Sc. Thesis Sharif University of Technology Aminyan, Diar (Author) ; Zolghadri, Mohammd Reza (Supervisor)
    Abstract
    Three-phase electronic loads are used to test the performance of various electrical devices such as power supplies, generators, and transformers. Conventional electronic loads are composed of passive components that consume the energy, so have low power density and efficiency and to manage the produced heat, massive cooling systems are required. Nowadays, to increase efficiency and power density, three-phase regenerative electronic AC loads have been developed. To return energy to the grid and control the input power factor, the structure of these loads is based on back-to-back converters. In this project, a 35 kVA three-phase regenerative electronic AC load is designed. To control the power... 

    Evaluation and Modeling of Queue Length Resulting from Shock Waves in Freeway Work Zone Areas

    , M.Sc. Thesis Sharif University of Technology Goudarzi Manzar, Mohammad Javad (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Highway work zone is one of the important factors that create long queues and Delays, increase air population, fuel consumption, and road accident. Since in this zones, one and two or sometimes three lanes may be closed, more careful evaluation of the causes of queue formation seems necessary. The purpose of this research was to develop a method to estimate queue length at work zone in rural freeways, based on its traffic flow characteristics. In this study, traffic data from three work zone locations in Karaj-Qazvin freeway was collected. Results of different modeling show that platooning arrival of vehicles at work zone, increase in percentage of heavy vehicles, high variation of speed and... 

    Effective Connectivity Between Nervous System and Cardiovascular System by Time Series Extracted from ECG signal and Frequency Bands of EEG signal

    , M.Sc. Thesis Sharif University of Technology Shamsaei, Bahar (Author) ; Shamsollahi, Mohammd Bagher (Supervisor)
    Abstract
    There is an effective and functional connectivity between the central nervous system and the cardiovascular system, which is controlled by the autonomic nervous system. Investigating this connectivity and its direction can provide valuable insights into their functioning. To examine causal and directional relationships, EEG and ECG signals, which contain useful information about the activities of these two systems, are utilized. Granger causality is a popular method for estimating effective linear connectivity. However, the assumption of linearity in effective connectivity is not always valid, as nonlinear interactions also exist between the nervous and cardiovascular systems. Estimating... 

    A Recursive Least Squares Solution to Bearing-only Tracking

    , M.Sc. Thesis Sharif University of Technology Hejazi Kookamari, Farzam (Author) ; Nayebi, Mohammd Mahdi (Supervisor)
    Abstract
    The conventional bearing-only tracking solutions are based on Kalman filter. Whenever the problem equations are nonlinear, Extended Kalman Filter (EKF) or more complicated methods are used necessarily. However, EKF suffers of being biased and unstable. Here a new recursive method based on a linear modeling of the problem is proposed, the method does not need an initial guess and outperforms the Kalman filter in the terms of accuracy, complexity and stability. Furthermore, input information needed for the proposed tracking filter is just the observer position, time and value of each angle measurements and the computation load is less than even a simple EKF. mathematical analysis, as well as... 

    Comparison of the Maximum Likelihood Ratio Detectors with the Hough Detectors in RADAR Detection Applications

    , M.Sc. Thesis Sharif University of Technology Sharify Darani, Soroush (Author) ; Nayebi, Mohammd Mahdi (Supervisor)
    Abstract
    In this work, Hough detector has been compared with optimum detectors. We consider 2-D range-time data space, which is constructed by storing the radar returns from different range cells during several successive scans. In this space, target trajectory can be modeled as a straight line for short time intervals, and can be extracted by applying Hough transform transcendentally. In this work, a new detection method based on the likelihood ratio in the data space with Gaussian noise is introduced. ALR and GLR processors have been designed. Then formulas for probability of detection and false alarm rate is calculated, and verified via simulations. A new criterion for estimation quality is... 

    Why Do Firms Bid Stepwise Rather Than Uniform in a Pay-as-bid
    Electricity Market?

    , M.Sc. Thesis Sharif University of Technology Aghdasi, Bijan (Author) ; Rahmati, Mohammd Hossein (Supervisor) ; Alishahi, Kasra (Supervisor)
    Abstract
    Why firms does not submit several steps in their bids curve? In this paper, we present a mathematical model for the behavior of power plants in a Pay-as-Bid auction market. According to this model, in the case that the power plant has a fixed marginal cost, the optimal behavior for him is to offer only one price, but in the case of linear marginal cost, bidding one price is not an optimal price, and with increasing the slope of this function, the number of steps and their price level will increase. We also show that increasing the level of competition in the market will force the plants to lower the price level and the number of steps. The model of this paper also predicts the factors... 

    The Study of Requirement and Enterprise Architecture of Organization Development in Iran

    , M.Sc. Thesis Sharif University of Technology Golchoobian, Mir Mohammd Ali (Author) ; Miremadi, Alireza (Supervisor) ; Manzoor, Davood (Co-Advisor)
    Abstract
    Traditionally, Iran was looking for development and either in era of oil revenues or before that, it has always faced serious mismatches in realization of plans and indiscipline of definition, allocation of development budgets, and sometimes national and foreign borrowing and in spite of defining development plans from 1971s, today, rare plans have been achieved in an acceptable and defendable manner, meanwhile, Iran’s Islamic Revolution adopted some fact changes in defining concepts like entrepreneurs, wealth, and the government’s share. However, many politicians and environmental activists are seeking sustainable development; environmental campaigners believe that this option is not... 

    Fixed-point iteration approach to spark scalable performance modeling and evaluation

    , Article IEEE Transactions on Cloud Computing ; 2021 ; 21687161 (ISSN) Karimian Aliabadi, S ; Aseman Manzar, M ; Entezari Maleki, R ; Ardagna, D ; Egger, B ; Movaghar, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Companies depend on mining data to grow their business more than ever. To achieve optimal performance of Big Data analytics workloads, a careful configuration of the cluster and the employed software framework is required. The lack of flexible and accurate performance models, however, render this a challenging task. This paper fills this gap by presenting accurate performance prediction models based on Stochastic Activity Networks (SANs). In contrast to existing work, the presented models consider multiple work queues, a critical feature to achieve high accuracy in realistic usage scenarios. We first introduce a monolithic analytical model for a multi-queue YARN cluster running DAG-based Big... 

    Development of consistent Thermomechanical ALE Formulation with Application to Simulation of Machining

    , Ph.D. Dissertation Sharif University of Technology Tadi Beni, Yaghob (Author) ; Movahhedy, Mohammd Reza (Supervisor) ; Farrahi, Hossein (Supervisor)
    Abstract
    Accurate description of kinematics of continuum mechanics is essential in simulation of large deformation problems in solid mechanics. From the numerical viewpoint, two main approaches have been used for such description; the Lagrangian approach and the Eulerian approach. However, each of these approaches suffer from shortcomings which hinders their application in large deformation problems. A more general approach called the Arbitrary Lagrangian-Eulerian method (ALE) provides an opportunity to exploit the advantages of both Lagrangian and Eulerian approach, while avoiding their shortcoming. In an ALE analysis, the FE mesh is neither attached to the material nor fixed in space, necessarily.... 

    Percolation theory in reservoir engineering

    , Book King, P. R ; Masihi, Mohsen
    World Scientific  2018

    Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation

    , Article IEEE Transactions on Cloud Computing ; Volume 11, Issue 1 , 2023 , Pages 897-910 ; 21687161 (ISSN) Karimian Aliabadi, S ; Aseman Manzar, M. M ; Entezari Maleki, R ; Ardagna, D ; Egger, B ; Movaghar, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    Companies depend on mining data to grow their business more than ever. To achieve optimal performance of Big Data analytics workloads, a careful configuration of the cluster and the employed software framework is required. The lack of flexible and accurate performance models, however, render this a challenging task. This article fills this gap by presenting accurate performance prediction models based on Stochastic Activity Networks (SANs). In contrast to existing work, the presented models consider multiple work queues, a critical feature to achieve high accuracy in realistic usage scenarios. We first introduce a monolithic analytical model for a multi-queue YARN cluster running DAG-based... 

    Hydroxyl-functionalized 1-(2-hydroxyethyl)-3-methyl imidazolium ionic liquids: thermodynamic and structural properties using molecular dynamics simulations and ab initio calculations

    , Article Journal of physical chemistry 8 ; 118(49) , Dec , 2014 , pp. (14410-28) Fakhraee, M ; Zandkarimi, B. (Borna) ; Salari, H. (Hadi) ; Gholami, M. R. (Mohammd reza) ; Sharif University of Technology
    2014
    Abstract
    The influences of hydroxyl functional group (-OH) on the thermodynamic and structural properties of ionic liquids (ILs) composed of 1-(2-Hydroxyethyl)-3-methyl imidazolium ([C2OHmim](+)) cation and the six different conventional anions, including [Cl](-), [NO3](-), [BF4](-), [PF6](-), [TfO](-), and [Tf2N](-) have been extensively investigated using classical molecular dynamics (MD) simulations combined with ab initio calculations over a wide range of temperature (298-550 K). The volumetric thermodynamic properties, enthalpy of vaporization, cohesive energy density, Hildebrand solubility parameter, and heat capacity at constant pressure were estimated at desired temperature. The simulated... 

    Massive Online Open Courses and Higher Education Policy in Iran

    , M.Sc. Thesis Sharif University of Technology Amini Abarghouie, Mohammd Ali (Author) ; Miremadi, Iman (Supervisor) ; Honarvar, Ruhollah (Co-Supervisor)
    Abstract
    The digital age and its interlace with the pandemic has led to rapid changes in various institutions, including higher education. One of the factors that changes higher education is the expansion of E-learning and Massive Online Open Courses (MOOCs). Although about 15 years have passed since its creation, the pandemic has expanded the E-learning infrastructure and given it more attention, so that now everyone Confesses the possibility of distance education. On the other hand, although the development of MOOCs platforms and their considerable acceptance has attracted the attention of higher education professors and future researchers in this field, it is not properly considered by the... 

    Sole versus dual-sourcing under order dependent lead-times and prices [electronic resource]

    , Article Computers And Operations Research, Published in: Elsevier Journals ; Volume 36, Issue 12, December 2009, Pages 3272–3280 Sajjadieh, M. (Mohsen) ; Eshghi, Kourosh ; Sharif University of Technology
    Abstract
    In this paper, we consider a dual-sourcing model with constant demand and stochastic lead times. Two suppliers may be different in terms of purchasing prices and lead-time parameters. The ordering takes place when the inventory level depletes to a reorder level, and the order is split among two suppliers. Unlike previous works in the order splitting literature, the supply lead time between vendor and buyer as well as unit purchasing prices is considered to be order quantity dependent. The proposed model finds out the optimal reorder point, order quantity and splitting proportion, using a solution procedure. Numerical results show that neglecting the relationship between ordering batch size...