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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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Optimization of Ethylene Oligomerization Process Based on Genetic Algorithms

Optimization of Ethylene Oligomerization Process Based on Ge...

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2024 International Russian Automation Conference, RusAutoCon 2024

作者： Antipina, Evgenia Mustafina, Svetlana Antipin, Andrev Ufa University of Science and Technology Department of Scientific Research and Development Ufa Russia Ufa University of Science and Technology Department of Mathematical Modeling Ufa Russia Ufa University of Science and Technology Department of Applied Informatics and Programming Ufa Russia

The paper is devoted to the development of a genetic algorithm for finding the optimal values of control parameters of the ethylene oligomerization process. The formulation of the problem of optimal control of the ethylene oligomerization process is given. The control parameters are temperature and reaction duration, the values of which are subject to constraints. It is proposed to search for the solution of the formulated problems using a genetic algorithm with real coding. The principle of operation of genetic algorithms is based on the imitation of the processes of evolution of living nature. It includes cyclic application of selection, crossing, mutation and renewal operations to a population of individuals. For each of the problems under consideration the method of representation of the mathematical analog of the population, on the basis of which the solution is searched, is described. A step-by-step genetic algorithm for solving the formulated optimal control problems is given. A computational experiment is carried out, as a result of which the optimal reaction temperature and process duration, at which the target functional takes the largest value, are calculated. © 2024 IEEE.

关键词： Genetic algorithms

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Fostering Attachment to the Community by Discovering of Local Resources using Location-Based System 19

Fostering Attachment to the Community by Discovering of Loca...

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19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Honda, Ken Itoga, Chiharu Hattori, Akira Faculty of Technology International Professional University of Technology Tokyo Japan Department of Sound Programming SITE LLC Osaka Japan Faculty of Global Media Studies Komazawa University Tokyo Japan

ISBN: (纸本)9798331507817

In Japan, population decline and the depopulation of local regions have become social issues. Various municipalities are working to discover and promote the unique attractions of their regions. Identifying the local resources can help foster attachment to the region, potentially reducing population outflow and increasing the number of new residents. In this paper, we propose a location-based system to discover local resources and their associated stories to foster attachment to the local community. To evaluate whether this system effectively identifies local attractions and cultivates attachment to the community, we organized a town walking event in collaboration with local municipalities and members of local community groups in the event area. © 2025 IEEE.

关键词： Depopulation Local Resources Location-based System Tourism Informatics Town Walking Event

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A zero-watermarking algorithm for use in RGB and monochrome images 5

A zero-watermarking algorithm for use in RGB and monochrome ...

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5th IEEE KhPI Week on Advanced technology, KhPIWeek 2024

作者： Poddubnyi, Vadym Gvozdov, Roman Sievierinov, Oleksandr Sukhoteplyi, Vladyslav Bulba, Serhii Lysytsia, Dmytro Department of of information technology security Kharkiv National University of Radio Electronic Kharkiv Ukraine Department of Computer Engineering and Programming Ivan Kozhedub Kharkiv National Air Force University Kharkiv Ukraine Department of Computer Engineering and Programming National Technical University "Kharkiv Polytechnic Institute" Kharkiv Ukraine

ISBN: (纸本)9798350384499

the article proposes a method of zero-watermarking for colored RGB bitmap images. This algorithm can be used to protect property rights to multimedia resources in which it is impossible to use ordinary watermarks due to the impossibility of changing the image (such as medical data where high accuracy is required and the appearance of artifacts is unacceptable) or due to the presence of a higher distortion of the container. This algorithm is based on DWT, SVD and operations in the field by modulo 256. The software implementation of the algorithm was developed (using the Accord and *** libraries to implement DWT, SVD). The software implementation of the algorithm was tested. This algorithm has advantages in the form of normalization of the average error, but it needs further research to improve its performance. ©2024 IEEE.

关键词： Image reconstruction

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A charged hadronic string model within the R.P. Feynman proper time paradigm and vacuum field theory approach 14

A charged hadronic string model within the R.P. Feynman prop...

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14th Biennial Conference on Classical and Quantum Relativistic Dynamics of Particles and Fields, IARD 2024

作者： Bogolubov, Nikolai N. Prykarpatski, Anatolij K. ICTP Trieste Italy Department of Applied Mathematics The Cracov University of Technology Kraków Poland Department of Computational Mathematics and Programming The Lviv Polytechnic National University Lviv Ukraine

We study a novel charged hadronic string model within the least action principle and the vacuum field theory approach based on the classical R.P. Feynman’s proper time paradigm. It is stated that the hadronic string model allows the conformal local coordinates, with respect to which the resulting string dynamics is described by means of the linear second order elliptic equation under the Dirac type constraint, suitable for the canonical quantization and demonstrating a related gauge type invariance of the model. The related Lagrangian and Hamiltonian aspects of the string model, interacting with ambient both electrical and electromagnetic potential fields, are analyzed in detail. © 2025 Institute of Physics Publishing. All rights reserved.

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Renal Tumor Classification and Detection Based on Artificial Intelligence 3

Renal Tumor Classification and Detection Based on Artificial...

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3rd International Conference on Communications, Information System, and Data Science, CISDS 2024

作者： Al-Taie, Raflaa Hilmi Hussein, Nashwan J. Physiology and Organ Functions Department College of Medicine University of Babylon Iraq Department of Electrical Power Engineering AL-Hussain University College Department of Programming Collage of Information Technology University of Babylon Iraq

ISBN: (数字)9781510688322

ISBN: (纸本)9781510688315

The kidney is a crucial organ in the human body, co-operating billions of pipelines to cleanse the body's water. Kidney failure, renal tumor happens when cells divide uncontrollably and form an aberrant collection of cells surrounding or within the kidney. This cell type has the ability to disrupt regular kidney activity and destroy healthy cells. The prompt diagnosis of renal tumor is critical since they can be fatal if left untreated. Because it is dependent on the skill of the person analyzing the images, the traditional approach of manually checking the MR image may not be very accurate. The study concentrated on the diagnosis of normal and normal renal tumor. To enhance accuracy and expedite diagnosis, using publicly accessible individual records, the present research used methodologies for machine learning, involving support vector machine learning (SVM), adaptive optimization (AO), as well as gradient enhancement (GE). It uses an approach for making the dataset reduced multidimensional. Image feature extraction is a data preprocessing method that minimizes the time required to train the proposed algorithm. The accuracy rates of the algorithms for diagnosing normal and up normal are reported to be 88.8 % for GB, 83.8 % for ADA, 86.1 % for SVM and 93.3% for KNN and for up normal diagnosis tumor are reported to be 55.3 % for GB, 55.4 % for SVM, 55.3 % for ADA and 51.0% for KNN. © 2025 SPIE.

关键词： Image enhancement

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Two-stage multi-item 4-dimensional transportation problem with fuzzy risk and substitution

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Journal of Ambient Intelligence and Humanized Computing 2023年第7期14卷 9469-9496页

作者： Devnath, Sudeshna De, Manoranjan Mondal, Seema Sarkar Maiti, Manoranjan Department of Mathematics National Institute of Technology Durgapur Durgapur713209 India Department of Mathematics Mugberia Gangadhar Mahavidyalaya West Bengal Purba Medinipur India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India

With the worldwide transport infrastructural development, there are several connecting roads between the cities for transportation. Some of these roads are smooth, and some are very rough, which invites some risks during transportation. For public distribution of some commodities, Govts. of developing countries collect those from the open markets, transport those to some warehouses for temporary storage, and from there, again transport to the fair-price shops for public distribution. With these facts, in this investigation, Govt.’s above scheme is modelled as two-stage four-dimensional transportation problems with different choices of conveyances and routes. There are some path and conveyance-wise uncertain travel risks. In fair-price shops, substitutable essential items (say rice and wheat) are sold with the necessary ones (say, mustard oil, etc.), which are sold by push-sale against some concession in an essential item (say, more rice, etc.). Thus, there is a trade-off between the ‘push-sale’ and ‘concession’, and hence an optimum decision is derived. Several models are developed depending on management’s and customers’ decisions, substitutability, push-sale, and environments. For road risk, a two-parameter (road’s roughness and distance) Mamdani-type fuzzy logic is implemented. The system’s profits for different models are maximised in both crisp and fuzzy environments and illustrated numerically using Generalised Reduced Gradient method through Lingo software. Here, the Govt.’s policy of introducing new products (termed as necessary item) among the public against a concession in an essential item has been introduced and analysed. This push-sale is effective up to a certain level, and after that, profit goes down. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Fuzzy logic

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Forecasting Global Monkeypox Infections Using LSTM: A Non-Stationary Time Series Analysis 3

Forecasting Global Monkeypox Infections Using LSTM: A Non-St...

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3rd IEEE International Conference on Electronic Engineering, ICEEM 2023

作者： Osama, Omnia M. Alakkari, Khder Abotaleb, Mostafa El-Kenawy, El-Sayed M. Delta Higher Institute of Engineering and Technology Department of Communications and Electronics Mansoura Egypt University of Tishreen Faculty of Economics Department of Statistics and Programming Tartous Syria South Ural State University Department of System Programming Chelyabinsk454080 Russia Delta Higher Institute Department of Communications Mansoura Egypt

ISBN: (纸本)9798350323511

This study leverages the capabilities of Long Short-Term Memory (LSTM) models in forecasting global Monkeypox infections, thereby demonstrating the significant potential of advanced machine learning techniques in epidemiological forecasting. Our LSTM model effectively navigates the challenges posed by non-stationary time-series data, a common issue in epidemiological studies. It successfully captures the underlying patterns in the data, producing reliable forecasts. The model's performance was evaluated using several metrics, including RMSE, MSE, MAE, and R2, all of which pointed to its robust and satisfactory predictive capabilities. Our findings underscore the significant role LSTM models can play in informing the development of timely and effective disease control and prevention strategies. They thereby contribute to enhancing public health responses to emerging infectious diseases such as Monkeypox. However, despite the promising results, the study highlights the ongoing challenge of enhancing the interpretability of LSTM models, an area that warrants further research. As a future direction, efforts should focus on refining LSTM models to bolster their interpretability, ensuring their broader adoption and utility in public health practice. © 2023 IEEE.

关键词： Long short-term memory

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The Problem of Morphological Synthesis and Methods, Algorithms for Handling Errors in Word Forms 3

The Problem of Morphological Synthesis and Methods, Algorith...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Kochkonbaeva, Buazhar O. Egemberdieva, Julduz S. Satybaev, Abdugany D. Osh State University Department of Information Technology and Programming Osh Kyrgyzstan Kyrgyz-Uzbek International University after named B. Sydykov Department of Information Technology Osh Kyrgyzstan Osh Technological University after named academican M.M. Adyshev Department of Information Technology and Management Osh Kyrgyzstan

ISBN: (纸本)9798331516321

Morphological synthesis is a key aspect of natural language processing that focuses on the generation of word forms from their base components - roots, stems, prefixes, affixes, and inflectional morphemes. It plays a crucial role in understanding and generating various grammatical forms of words in different languages. This process is essential for tasks such as machine translation, speech synthesis, text generation, and information retrieval. In agglutinative languages, words are formed by stringing together affixes that each represent a single grammatical function. Each morpheme retains its distinct meaning and function, making synthesis relatively predictable. In this article, using Kyrgyz as an example, we have examined the rules governing the attachment of affixes to words and assessed whether these affixes are correctly attached or if there are issues with morphological synthesis. This is, of course, a very topical issue. Because the first step in the problems of artificial intelligence is to pay attention to the features and ways of language creation. © 2024 IEEE.

关键词： Natural language processing systems

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Cyclic Quasi-Orthogonal Matrices in Image and Signal Encoding

Cyclic Quasi-Orthogonal Matrices in Image and Signal Encodin...

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2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Alexandr, Sergeev Saint Petersburg State University of Aerospace Instrumentation Department of Computer Technology and Programming Saint Petersburg Russia

ISBN: (纸本)9781665472296

orthogonal and quasi-orthogonal matrices with a limited number of element values and structured in some way are of considerable interest for many technical applications related to image processing and signal coding. The paper classifies and considers cyclic matrices and matrices with cyclic blocks. Descriptions of noise-resistant encoding methods of images and their protective masking using such matrices are given. Based on the analysis of the autocorrelation functions of new code sequences obtained from strings of modified cyclic quasi-orthogonal matrices and the simulation performed, numerical values of the quality parameters of the new code sequences are given. It is shown that their application makes it possible to reduce the maximum level of the side lobe of the aperiodic autocorrelation function, which allows us to conclude that their application is promising and that signal coding algorithms can be revised. © 2022 IEEE.

关键词： Signal encoding

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