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A fault-tolerant scheduling strategy through proactive and clustering techniques for scientific workflows in cloud computing

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Soft Computing 2025年第2期29卷 755-781页

作者： Farhood, Suha Mubdir Khorsand, Reihaneh Hussein, Nashwan Jasim Ramezanpour, Mohammadreza Branch Islamic Azad University Isfahan Iran Department of Programming Collage of Information Technology University of Babylon Hillah Iraq Department of Computer Engineering Mobarakeh Branch Islamic Azad University Mobarakeh Isfahan Iran

Cloud computing offers solutions for various scientific and business applications. Large-scale scientific applications, which are organized as scientific workflows, are carried out using cloud computing. However, the higher failure rates in cloud computing can be attributed to the numerous servers and components dealing with intense workloads. This study presents a fault-tolerant scheduling approach using proactive and clustering methods for scientific workflows in cloud computing. Initially, the task clustering issue is addressed by consolidating multiple short-duration tasks into a single job to improve the runtime performance of workflow executions. Subsequently, an automated workflow scheduling strategy is outlined with four key stages: monitoring, analysis, planning, and execution. During monitoring, clustered jobs and the capacities of available cloud resources are observed. In the analysis phase, the accuracy of failure prediction is enhanced by employing the Group Method of Data Handling (GMDH) neural network prior to any faults or failures. The planning stage introduces a novel hybrid multi-objective algorithm, MOPSO-aSA, based on MOPSO and adaptive simulated annealing (SA), to streamline workflow scheduling in error-prone execution environments. Moreover, the reliability of application execution is maintained through re-clustering and migration techniques following any faults or failures. Finally, based on the experimental findings, it is evident that the proposed strategy surpasses other methods in terms of makespan, total cost, energy consumption, and failure rate. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Simulated annealing

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A blockchain-oriented covert communication technology with controlled security level based on addressing confusion ciphertext

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Frontiers of computer Science 2025年第2期19卷 133-135页

作者： Lejun ZHANG Bo ZHANG Ran GUO Zhujun WANG Guopeng WANG Jing QIU Shen SU Yuan LIU Guangxia XU Zhihong TIAN Sergey GATAULLIN Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou 510006China Research and Development Center for E-Learning Ministry of EducationBeijing 100039China College of Information Engineering Yangzhou UniversityYangzhou 225009China School Math and Computer Science Quanzhou Normal UniversityQuanzhou 362000China Pazhou Lab Guangzhou 510330China School of Physics and Materials Science Guangzhou UniversityGuangzhou 510006China Central Economic and Mathematics Institute Russian Academy of SciencesMoscow 117418Russia Industrial Programming Department MIREA-Russian Technological UniversityMoscow 119454Russia

1 Introduction Traditional covert communication[1]usually relies on centralized channels,which are efficient in transmission but susceptible to eavesdropping and attacks,leading to information ***,distributed methods also exist,such as peer-to-peer networks and distributed hash *** technology,which is decentralized,anonymous,non-tamperable and anti-attack,can be applied to covert communication to solve the problems of traditional methods and improve the quality of communication.

关键词： communication tables networks

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A lightweight attention-driven YOLOv5m model for improved brain tumor detection

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computers in Biology and Medicine 2025年 188卷 109893-109893页

作者： Muksimova, Shakhnoza Umirzakova, Sabina Mardieva, Sevara Iskhakova, Nargiza Sultanov, Murodjon Cho, Young Im Department of Computer Engineering Gachon University Sujeong-gu Seongnam-si461-701 Korea Republic of Department of Information Systems and Technologies of the Tashkent State University of Economic Tashkent100066 Uzbekistan Department of Systematic and Practical Programming Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi Tashkent100200 Uzbekistan

Brain tumors are regarded as one of the most lethal, devastating, and aggressive diseases, significantly reducing the life expectancy of affected individuals. For this reason, in pursuit of advancing brain tumor diagnostics, this study introduces a significant enhancement to the YOLOv5m model by integrating an Enhanced Spatial Attention (ESA) layer, tailored specifically for the analysis of magnetic resonance imaging (MRI) brain scans. Traditional brain tumor detection methods, heavily reliant on expert interpretation of MRI, are fraught with challenges such as high variability and the risk of human error. Our innovative approach leverages the ESA layer to acutely focus on salient features, significantly improving the method ability to differentiate between common classes of brain tumors—meningioma, pituitary, and glioma tumors. By processing spatial features with enhanced precision, the model minimizes false positives and maximizes detection reliability. Validated against a comprehensive dataset of 3064 T1-weighted contrast-enhanced MRI images from 233 patients, our modified YOLOv5m architecture demonstrates superior performance metrics compared to the standard model, highlighting its potential as a robust tool in clinical applications for automated and precise brain tumor diagnosis. © 2025 The Authors

关键词： Dynamic contrast enhanced MRI

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Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI

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computers in Biology and Medicine 2025年 190卷 110095-110095页

作者： Muksimova, Shakhnoza Umirzakova, Sabina Iskhakova, Nargiza Khaitov, Aziz Cho, Young Im Department of Computer Engineering Gachon University Sujeong-gu Gyeonggi-do Seongnam-si461-701 Korea Republic of Department of Systematic and Practical Programming Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi Tashkent100200 Uzbekistan Republican Scientific and Methodological Center for the Development of Education of the Republic of Uzbekistan Uzbekistan

This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). The model architecture is meticulously crafted to enhance feature extraction and selectively focus on crucial regions within brain images, thereby improving diagnostic accuracy. A unique component, the MRI Segmentation Block (MSB), is introduced to manage the skull stripping task effectively, highlighting the model ability to learn from complex, multilayered information. We have incorporated a detailed experimental evaluation of the MSB, demonstrating its superior performance in cranial debridement tasks compared to existing methods. The experiments involved a range of MRI scans, assessing the MSB's accuracy through metrics like the Dice Coefficient and Jaccard Index against ground truth annotations by expert radiologists. The results substantiate the MSB's effectiveness, setting a new benchmark for precision in medical imaging diagnostics. The proposed method integrates densely connected neural networks with a connection-wise attention model to extract multiscale features from MRI scans. Furthermore, the attention mechanism is fine-tuned to emphasize salient features significantly associated with various stages of Alzheimer's disease, thereby setting a new benchmark for precision in medical imaging diagnostics. Extensive experiments on the Alzheimer Disease Neuroimaging Initiative (ADNI) dataset demonstrate the superiority of our method over traditional and contemporary approaches, with our model achieving high accuracy and computational efficiency. This makes it suitable for clinical applications where resources are limited. This study represents a significant advancement in the diagnostic process for AD, with potential implications for improving patient outcomes in clinical settings. © 2025 The Authors

关键词： Convolutional neural networks

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Method of Evaluating the User Interface of Software Systems for Compliance with the Gestalt Principles 14

Method of Evaluating the User Interface of Software Systems ...

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14th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2019

作者： Hovorushchenko, Tetiana Pavlova, Olga Kobel, Kostyantyn Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781728108063

The purpose of this study is increasing the usability of the user interfaces (UI) by ensuring their compliance with Gestalt principles. The developed method of evaluating the compliance of the UI with Gestalt principles provides: quantitative evaluation of the compliance of the UI with each of the Gestalt principles;quantitative evaluation of the compliance of the UI to all Gestalt principles in the complex;selection of elements of the UI, which meet to the largest and smallest quantity of Gestalt principles;the formation of the set of UI elements, which require further re-work in order to provide them the compliance with Gestalt principles;increase of compliance of the UI with the Gestalt principles (by 15% for the real UI of webpage for selling the jewelry). © 2019 IEEE.

关键词： User interfaces

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Multi-Agent Technology for Assessing the Availability of Information at the Software Development Initial Stages 16

Multi-Agent Technology for Assessing the Availability of Inf...

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16th IEEE International Conference on computer Science and Information Technologies, CSIT 2021

作者： Hovorushchenko, Tetiana Pavlova, Olga Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781665442572

The development of multi-agent technology for assessing the availability of information at the software development initial stages is an actual task, the solution of which is the purpose of this study. The paper presents the structure and functioning of multi-agent technology for assessing the availability of information at the software development initial stages, which is suitable for working with requirements specifications in modern conditions, when software requirements often change, - due to the speed and ease of specifications' analysis. Both the developer and the customer can always check the availability of information in the updated requirements specification, without spending a lot of time and effort. © 2021 IEEE.

关键词： Requirements engineering

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The positive outcomes of information security awareness training in companies - A case study

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Information Security Technical Report 2009年第4期14卷 223-229页

作者： Eminaǧaoǧlu, Mete Uçar, Erdem Eren, Şaban Yaar University Department of Computer Programming Izmir Turkey Trakya University Department of Computer Engineering Edirne Turkey Yaar University Department of Statistics Izmir Turkey

One of the key factors in successful information security management is the effective compliance of security policies and proper integration of "people", "process" and "technology". When it comes to the issue of "people", this effectiveness can be achieved through several mechanisms, one of which is the security awareness training of employees. However, the outcomes should also be measured to see how successful and effective this training has been for the employees. In this study, an information security awareness project is implemented in a company both by training and by subsequent auditing of the effectiveness and success of this training (which focussed on password usage, password quality and compliance of employees with the password policies of the company). The project was conducted in a Turkish company with 2900 white-collar employees. Each employee took information security training including password usage. Also, there were several supporting awareness campaigns such as educational posters, animations and e-messages on the company Intranet, surveys and simple online quizzes. The project was carried out over a 12 month period and three password security strength audits were made during this period. The results were comparatively and statistically analysed. The results show us the effectiveness of the project and the impact of human awareness on the success of information security management programmes in companies. This study gives us some crucial results, facts and methods that can also be used as a guideline for further similar projects. © 2010 Elsevier Ltd. All rights reserved.

关键词： Personnel training

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Method of Assessing the Impact of External Factors on Geopositioning System Operation Using Android GPS API 16

Method of Assessing the Impact of External Factors on Geopos...

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16th IEEE International Conference on computer Science and Information Technologies, CSIT 2021

作者： Hovorushchenko, Tetiana Pavlova, Olga Avsiyevych, Volodymyr Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781665442572

The main methods of analysis the accuracy of the geolocation system were studied. The aspects of technology for obtaining geographical coordinates using Google geolocation system (GPS) were considered. The best method of obtaining data from satellites was searched. Today the geolocation system has become widely used in many industries, such as military, aviation, maritime, navigation of ordinary users. Also, a significant spread of this technology is noticed in many geographical areas, such as cartography, geodesy and is an area of interests of many scientists. A mobile app based on Android platform for conducting the experiments to determine the accuracy of geolocation services in the form of Web Quests was developed. © 2021 IEEE.

关键词： Global positioning system

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Deep Learning researches in Turkey: An academic approach 13

Deep Learning researches in Turkey: An academic approach

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13th International Conference Perspective Technologies and Methods in MEMS Design, MEMSTECH 2017

作者： Pala, Zeydin Yamli, Veysi Ünlük, Ibrahim Halil Computer Engineering Department Mus Alparslan University Turkey Computer Programming Department Bitlis Eren University Turkey Computer Programming Department Mus Alparslan University Turkey

ISBN: (纸本)9781538640005

Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Machines (DBMs). DL continues to take powerful steps to become a part of almost any software in the future. DL is one of the most popular research areas of machine learning. What makes it so popular is the exciting applications of recent times. Nowadays, improvement in machine learning provide ability to determine what an object in a picture does. The aim of this study is to reveal academic studies in the field of Deep Learning in Turkey and to evaluate their numerical results. Dataset search for studies in the field of DL were done in both the YÖKSIS database in Turkey and the internationally operated Web of Science and Scopus services. Finally, some evaluations were made to emphasize the importance of DL for the country. © 2017 IEEE.

关键词： Recurrent neural networks

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Forming the logical conclusion about sufficiency of information of software requirements specification for software quality assessment by ISO 25010:2011 1

Forming the logical conclusion about sufficiency of informat...

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1st IEEE Ukraine Conference on Electrical and computer engineering, UKRCON 2017

作者： Hovorushchenko, Tetiana Computer Engineering and System Programming Department Khmelnitsky National University Khmelnitsky Ukraine

ISBN: (纸本)9781509030064

The aim of this study is the development of the method of generating and filling the template of ontology for the quality of the concrete software and method of forming the logical conclusion about the sufficiency of information of software requirements specification (SRS) for software quality assessment (by ISO 25010:2011). The first time proposed method of generating and filling the template of ontology for the quality of the concrete software leaves in the relevant ontology only measures, which are available in the SRS for the concrete software. It provides forming the ontology for the quality of the concrete software. The first time developed method of forming the logical conclusion about the sufficiency of the SRS information for software quality assessment provides the conclusion about the sufficiency or insufficiency of the SRS information for software quality assessment by ISO 25010:2011. If the SRS information is insufficient, this method: provides the conclusion for which characteristics and sub-characteristics the information is insufficient;creates the sorted list of missing measures as the recommended priority of their addition in the SRS;evaluates the veracity of software quality assessment based on the available in the SRS measures. © 2017 IEEE.

关键词： Ontology

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