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2020 International Russian automation Conference, RusAutoCon 2020

作者： Kribel, Aleksander Saenko, Igor Kotenko, Igor St. Petersburg Signal Academy Department of Information and Telecommunication Networks Saint-Petersburg Russia St. Petersburg Institute for Informatics Automation of the Russian Academy of Sciences Laboratory of Computer Security Problem Saint-Petersburg Russia

ISBN: (纸本)9781728161303

The prevailing traffic models based on Markov processes have a short-term dependence and, as applied to computer networks, led to an underestimation of the load. Fractal properties of network traffic looks the same with a sufficiently large scale of the time axis, exhibits a long-term dependence, and are more preferable for solving the computer security tasks. The paper presents a method for detecting network traffic anomalies based on the assertion that traffic is a fractal. It is assumed that network traffic is a self-similar structure and is modeled by a fractal Brownian motion. Fractal analysis and mathematical statistics were used as tools in the development of this method. Experimental testing showed a rather high accuracy of the method and its ability to detect network traffic anomalies caused by DoS attacks. © 2020 IEEE.

关键词： Denial-of-service attack

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Detection of Anomalies in the Traffic of Information and Telecommunication Networks Based on the Assessment of its Self-Similarity

Detection of Anomalies in the Traffic of Information and Tel...

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International Russian automation Conference (RusAutoCon)

作者： Aleksander Kribel Igor Saenko Igor Kotenko Department of information and telecommunication networks St. Petersburg Signal Academy Saint-Petersburg Russia Laboratory of computer security problem St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences Saint-Petersburg Russia

ISBN: (数字)9781728161303

ISBN: (纸本)9781728161310

关键词： Fractals Telecommunication traffic Time series analysis automation Computer security Computational modeling

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Working set size estimation techniques in virtualized environments: One size does not fit all 18

Working set size estimation techniques in virtualized enviro...

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2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018

作者： Nitu, Vlad Kocharyan, Aram Yaya, Hannas Tchana, Alain Hagimont, Daniel Astsatryan, Hrachya Toulouse University Toulouse Institute of Computer Science Research Toulouse France Institute for Informatics and Automation Problem Yerevan Armenia

ISBN: (纸本)9781450358460

Energy consumption is a primary concern for datacenter (DC) management. Its cost represents a significant part of the total cost of ownership (about 80% [2]) and it is estimated that in 2020, US DCs will spend about $13 billion on energy bills [3]. A majority of DCs implements the Infrastructure as a Service (IaaS) model where customers buy (from providers) VMs with a set of reserved resources. The VMs host general purpose applications (e.g. web services), as well as High Performance Computing applications. In such IaaS DCs, virtualization is a fundamental technology which allows optimizing the infrastructure by colocating several VMs on the same physical server. Such colocation can be achieved at deployment time by starting as many VMs as possible on each physical machine, or at runtime by dynamically migrating VMs on a reduced set of physical machines, thus implementing a consolidation strategy [4]. Ideally, consolidation should lead to highly loaded servers. Although consolidation may increase server utilization by about 5-10%, it is difficult to actually observe server loads greater than 50% for even the most adapted workloads [5–7]. The main reason is that VM collocation is memory bound, as memory saturates much faster than the CPU. This situation was accentuated over the last several years, as we have seen emerging new applications with growing memory demands, while physical platforms had an opposite tendency;they provide more CPU capacity than physical memory. This mismatch is referred to as the memory capacity wall [8]. However, the existing consolidation systems [9, 10] take the CPU as a pivot, i.e. the central element of the consolidation. The memory is considered constant (i.e. the initially booked value) all over the VM’s lifetime. Nevertheless, we consider that the memory should be the consolidation pivot since it is the limiting resource. In order to reduce the memory pressure, the consolidation should consider the memory actually consumed (i.e. the VM

关键词： Energy utilization

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Working Set Size Estimation Techniques in Virtualized Environments

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Performance Evaluation Review 2018年第1期46卷 62-63页

Energy consumption is a primary concern for datacenters' management. Numerous datacenters are relying on virtualization, as it provides flexible resource management means such as virtual machine (VM) checkpoint/restart, migration and consolidation. However, one of the main hindrances to server consolidation is physical memory. In nowadays cloud, memory is generally statically allocated to VMs and wasted if not used. Techniques (such as ballooning) were introduced for dynamically reclaiming memory from VMs, such that only the needed memory is provisioned to each VM. However, the challenge is to precisely monitor the needed memory, i.e., the working set of each VM. In this paper, we thoroughly review the main techniques that were proposed for monitoring the working set of VMs. Additionally, we have implemented the main techniques in the Xen hypervisor and we have defined different metrics in order to evaluate their efficiency. Based on the evaluation results, we propose Badis, a system which combines several of the existing solutions, using the right solution at the right time. We also propose a consolidation extension which leverages Badis in order to pack the VMs based on the working set size and not the booked memory. © 2018 ACM.

关键词： Virtualization

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018年 11097 LNAI卷

作者： Ronzhin, Andrey Rigoll, Gerhard Meshcheryakov, Roman St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences St. Petersburg Russia TU Munich Munich Germany Institute for Control Problem of the Russian Academy of Sciences Moscow Russia

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Network motifs detection strategies and using for bioinformatic networks

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Journal of Bionanoscience 2014年第5期8卷 353-359页

作者： Alinejad-Rokny, Hamid Pourshaban, Hamed Orimi, Amir Goram Baboli, Miresmaeil Mirnabi Faculty of Medicine University of New South Wales SydneyNSW2018 Australia School of Computer Science and Engineering University of New South Wales Sydney2018 Australia Faculty of Computer Engineering University of Mazandaran Mazandaran Babol*** Iran Institute of Informatics and Automation Problem Yerevan-Armenia-Babol*** Iran Yerevan Telecommunication Research Institute-YTRI Yerevan-Armenia-Babol*** Iran

Complex networks from scopes like Sociology or Biology are exist in many e-Science data sets. Mostly we need to computational algorithms for dealing with networks. For Example, detecting characteristic patterns, network motifs or problem involving sub-graph mining and graph isomorphism. In this paper, we provide a review and runtime comparison of current popular motif identification algorithms. We will categorize the algorithms outlining the major differences and each strategy's advantages;and finally execute current strategies in the same platform on Bioinformatic applications and compare the results. Copyright © 2014 American Scientific Publishers.

关键词： Bioinformatics

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Practical implementation of the lossless compression algorithm

Practical implementation of the lossless compression algorit...

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Compression and Complexity of Sequences Proceedings

作者： G. Khachatrian A. Andreasyan Institute for Problem of Informatics and Automation The National Academy of Sciences of the Republic of Armenia Yerevan Armenia

A combination of the LZ78 method with a new scheme of model contexting is introduced. In the proposed scheme the hashing function is also used. This approach speeds up the searching process and has an improvement over... 详细信息

关键词： Compression algorithms Context modeling Encoding Dictionaries Laboratories informatics automation Testing

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Modified B-spline interpolators and filters: synthesis and efficient implementation

Modified B-spline interpolators and filters: synthesis and e...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： K. Egiazarian T. Saramaki H. Chugurian J. Astola Signal Processing Laboratory Tampere University of Technology Tampere Finland Institute of Problem of Informatics and Automation National Academy of Sciences Yerevan Armenia

Interpolation techniques are widely used in many applications of signal processing. This paper is devoted to synthesizing and efficiently implementing a class of generalized spline-interpolators. A new parametric class of generalized B-splines is introduced. It contains as special cases B-splines and alternative B-splines. In the most general case, the proposed spline functions can be represented as a linear combination of the weighted and shifted classic B-splines of different orders. The applicability of the resulting splines to discrete-time interpolation is investigated and compared to classical splines. Furthermore, the implementation of the discrete-time interpolation with the aid of efficient digital filter structures is considered in detail.

关键词： Spline Filters Interpolation Polynomials Signal synthesis Signal processing Discrete transforms Sampling methods Laboratories informatics

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Interactive Collaborative Robotics 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Andrey Ronzhin Gerhard Rigoll Roman Meshcheryakov

ISBN: (数字)9783319995823

ISBN: (纸本)9783319995816

This book constitutes the proceedings of the Third International Conference on Interactive Collaborative Robotics, ICR 2018, held in Leipzig, Germany, in September 2018, as a satellite event of the 20th International Conference on Speech and Computer, SPECOM 2018.;The 30 papers presented in this volume were carefully reviewed and selected from 51 submissions. The papers presents challenges of human-robot interaction, robot control and behavior in social robotics and collaborative robotics, as well as applied robotic and cyberphysical systems.

关键词： Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks User Interfaces and Human Computer Interaction

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