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Bi-objective Workflow Scheduling in the Cloud: What is the Real State-of-the-Art?
P. 20–31.
Yury Semenov, Oleg Sukhoroslov
Workflow scheduling in the cloud is a challenging multi-objective optimization problem where an efficient scheduling algorithm is required to optimize both performance and cost. Despite the huge body of work on designing workflow scheduling algorithms, the differences in the experiment settings, VM instances, sets of baseline algorithms, and the choice of reference point for hypervolume calculation make it hard to determine the best-performing methods. In this work, we aim to determine the current state-of-the-art approach by implementing and benchmarking recently published algorithms on a unified benchmark consisting of a large set of real-world DAGs and Amazon EC2 instance types. The experiments show that VMALS and CMSWC are the current state-of-the-art algorithms demonstrating superior quality of Pareto front in terms of hypervolume on all tested DAGs.
Edward R. Rzaev, Aleksandr Y. Romanov, Andrey M. Sukhov, IEEE Access 2026 Vol. 14 P. 2169–3536
This work presents a hierarchy of strictly local fault-tolerant routing algorithms for 3D mesh networks-on-chip, culminating in an algorithm that combines a live-neighbor selection rule with a bounded single-hop rollback mechanism. The proposed algorithms operate exclusively on immediate neighbor information, maintain O(1) per hop complexity, and require no global topology knowledge, additional virtual channels, or ...
Added: July 23, 2026
Shavrina T., Fenogenova A., Emelyanov A. et al., , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).: Association for Computational Linguistics, 2020. P. 4717–4726.
In this paper, we introduce an advanced Russian general language understanding evaluation benchmark – RussianSuperGLUE. Recent advances in the field of universal language models and transformers require the development of a methodology for their broad diagnostics and testing for general intellectual skills - detection of natural language inference, commonsense reasoning, ability to perform simple logical ...
Added: June 14, 2026
Springer, 2025.
This book constitutes the refereed proceedings of the 19th International Conference on Parallel Computational Technologies, PCT 2025, held in Moscow, Russia, during April 8–10, 2025.
The 31 full papers included in this volume were carefully reviewed and selected from 122 submissions. These papers were organized under the following topical sections: High Performance Architectures, Tools and Technologies; ...
Added: May 18, 2026
Karpukhin I., Shipilov F., Savchenko A., Neurocomputing 2026 Vol. 672 Article 132771
Forecasting multiple future events within a given time horizon is essential for applications in finance, retail,
social networks, and healthcare. This problem is typically addressed using Marked Temporal Point Processes
(MTPP), which provide a principled framework for modeling both event timing and event labels. While most
existing research focuses on predicting only the next event, forecasting distant future ...
Added: February 25, 2026
Porosenkov G., Цепелевич М. М., Кизяков Д. А. et al., Информатика и образование 2025 Т. 40 № 2 С. 57–65
Research on learner engagement in massive open online courses (MOOCs) has predominantly focused on those developed by educational and non-profit organizations. However, the significance of MOOCs offered by IT service providers (vendors), particularly in the field of cloud computing, has gained prominence in recent years. These vendor-led courses facilitate interaction between learners and vendors, underscoring the ...
Added: January 18, 2026
Kriukov D., Efimov E., Kuzmina E. et al., , in: KDD '25: Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Volume 2.: Association for Computing Machinery (ACM), 2025. P. 5560–5570.
The success of clinical trials of longevity drugs relies heavily on identifying integrative health and aging biomarkers, such as biological age. Epigenetic aging clocks predict the biological age of individuals using their DNA methylation profiles, commonly retrieved from blood samples. However, there is no standardized methodology to validate and compare epigenetic clock models. We propose ComputAgeBench, ...
Added: January 12, 2026
Springer, 2025.
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8–11, 2024.
The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections:
Part I : Numerical ...
Added: December 26, 2025
Nainggolan N., Maghsoudlou E., AlWadi B. M. et al., International Journal of Industrial Engineering and Management 2024 Vol. 15 No. 3 P. 254–263
This paper addresses the need for innovative optimization solutions in automotive manufacturing. Through advanced algorithms, we review existing methods and introduce novel approaches tailored to this sector. Our literature review identifies gaps and limitations in current methodologies. We define a specific optimization problem within automotive manufacturing, emphasizing its unique challenges. Our key contributions include: (a) ...
Added: October 22, 2025
Yury Semenov, Oleg Sukhoroslov, , in: Mathematical Optimization Theory and Operations Research 24th International Conference, MOTOR 2025, Novosibirsk, Russia, July 7–11, 2025, ProceedingsVol. 15681.: Switzerland: Springer, 2025. P. 317–331.
Added: September 17, 2025
Sochi: IEEE, 2025.
International Russian Smart Industry Conference is devoted to discussion of the latest achievements in the field of automation and control systems. It will be held in Sochi, the Russian Federation, in March, 2026. The conference is organized in order to exchange experiences, to promote the discussion and presentation of research papers, summarizing research in universities, ...
Added: May 10, 2025
Shulginov V., Hasan Berkcan Şimşek, Sergei Kudriashov et al., , in: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2025)Issue 23.: [б.и.], 2025. P. 345–360.
This study presents a framework for evaluating the effectiveness of language models (LLMs) in detecting disagreement across a wide range of pragmatic strategies, from mitigated forms to overt verbal aggression. Special attention is given to complex cases of implicit manifestations of irony and sarcasm, which pose significant challenges for both automated analysis and interpersonal communication. ...
Added: April 30, 2025
Razzhigaev A., Kurkin M., Goncharova E. et al., , in: Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP.: Association for Computational Linguistics, 2024. P. 183–195.
We introduce OmniDialog — the first trimodal comprehensive benchmark grounded in a knowledge graph (Wikidata) to evaluate the generalization of Large Multimodal Models (LMMs) across three modalities. Our benchmark consists of more than 4,000 dialogues, each averaging 10 turns, all annotated and cross-validated by human experts. The dialogues in our dataset are designed to prevent ...
Added: February 21, 2025
Fenogenova A., Chervyakov, A., Martynov N. et al., , in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2024Vol. 1: Long Papers.: Bangkok: Association for Computational Linguistics, 2024. P. 9920–9948.
Over the past few years, one of the most notable advancements in AI research has been in foundation models (FMs), headlined by the rise of language models (LMs). However, despite researchers’ attention and the rapid growth in LM application, the capabilities, limitations, and associated risks still need to be better understood. To address these issues, ...
Added: February 17, 2025
Taktasheva E., Bazhukov M., Koncha K. et al., , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.: Association for Computational Linguistics, 2024. P. 9268–9299.
Minimal pairs are a well-established approach to evaluating the grammatical knowledge of language models. However, existing resources for minimal pairs address a limited number of languages and lack diversity of language-specific grammatical phenomena. This paper introduces the Russian Benchmark of Linguistic Minimal Pairs (RuBLiMP), which includes 45k pairs of sentences that differ in grammaticality and ...
Added: January 2, 2025
Springer, 2024.
This book constitutes the refereed post proceedings of the 18th International Conference on Parallel Computational Technologies, PCT 2024, held in Chelyabinsk, Russia, in April 2024.
The 22 full papers included in this book were carefully reviewed and selected from 62 submissions. These papers have been organized under the following topical sections: High Performance Architectures, Tools and Technologies; Parallel Numerical Algorithms and ...
Added: December 20, 2024
Spirin S., Sigorskikh A., Efremov A. et al., Molecular Biology and Evolution 2024 Vol. 41 No. 6 Article msae084
Phylogenetic inference based on protein sequence alignment is a widely used procedure. Numerous phylogenetic algorithms have been developed, most of which have many parameters and options. Choosing a program, options, and parameters can be a nontrivial task. No benchmark for comparison of phylogenetic programs on real protein sequences was publicly available. We have developed PhyloBench, ...
Added: August 7, 2024
Sergey V. Zykov, Singapore: Springer, 2024.
The book focuses on modeling real-world crisis management in digital product development. This includes models and methods for forecasting, responding, and agile engineering/managing for sustainable product development. This book suggests an approach that contains principles, formal models, and semi-formal practice-oriented methods, patterns and techniques to efficiently manage these crises and provide sustainable development. The book ...
Added: March 10, 2024
Bazhenov G., Kuznedelev D., Malinin A. et al., , in: Advances in Neural Information Processing Systems 36 (NeurIPS 2023).: Curran Associates, Inc., 2023. P. 75567–75594.
In reliable decision-making systems based on machine learning, models have to be robust to distributional shifts or provide the uncertainty of their predictions. In node-level problems of graph learning, distributional shifts can be especially complex since the samples are interdependent. To evaluate the performance of graph models, it is important to test them on diverse ...
Added: February 7, 2024