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Social Principles in Agent-Based Trust Management for the Internet of things

Social Principles in Agent-Based Trust Management for the In...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Kalliopi Kravari Nick Bassiliades Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9781538626276

the Internet of things has the potential to change our daily life. It will create a world where everyone and everything will be connected and knowledge will be diffused in every direction. this open, distributed and heterogeneous environment raises important challenges, such as intelligence and trustworthiness. Intelligent Agents are considered as a technology that can deal with these issues, since they are capable of autonomously representing people, devices or services while a wide range of trust and reputation models have already been proposed. this paper reports on identifying and incorporating social parameters involved in the Internet of things, although it is not considered as a social network, with the use of Intelligent Agents enabling trustworthiness in the environment. More specifically, two paradigms, social graphs and peer-to-peer networks will be discussed while a novel distributed mechanism for locating reliable reports, an important aspect of reputation trust models will be proposed. Finally, a use case scenario is presented that illustrates the viability of the proposed approach.

关键词： Internet of things Peer-to-peer computing Intelligent agents Reliability Social network services Multi-agent systems

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Quality Assurance for Open Source Software Configuration Management

Quality Assurance for Open Source Software Configuration Man...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Stefan Meyer Philip Healy theo Lynn John Morrison Irish Centre for Cloud Computing & Commerce Dublin City University Ireland

Commonly used open source configuration management systems, such as Puppet, Chef and CFEngine, allow for system configurations to be expressed as scripts. A number of quality issues that may arise when executing these scripts are identified. An automated quality assurance service is proposed that identifies the presence of these issues by automatically executing scripts across a range of environments. Test results are automatically published to a format capable of being consumed by script catalogues and social coding sites. this would serve as an independent signal of script trustworthiness and quality to script consumers and would allow developers to be made quickly aware of quality issues. As a result, potential consumers of scripts can be assured that a script is likely to work when applied to their particular environment. Script developers can be notified of compatibility issues and take steps to address them.

关键词： Servers Operating systems Communities Linux Quality assurance Testing

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Performance Improvement of Genetic algorithms by Adaptive Grid Workflows

Performance Improvement of Genetic Algorithms by Adaptive Gr...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Boro Jakimovski Dragan Sahpaski Goran Velinov Institute of Informatics Faculty of Sciences and Mathematics Ss Cyril and Methodius University Skopje Macedonia

In this paper we present improvement of the performance of Grid Direct Acyclic Graph (DAG) workflow genetic algorithm by harnessing the power of High Level Petri-Nets workflow model. Genetic algorithms are very powerful optimization technique that is easily parallelized using different approaches which makes it ideal for the Grid. the High Level Petri-Net workflow model greatly outperforms currently available DAG workflow model available in gLite Grid middleware. Using the flexibility of the High Level Petri-Net workflows we have designed an adaptive workflow that overcomes the heterogeneity and unpredictability of the Grid infrastructure, giving users better and more stable execution times than formerly used DAG workflows. the experimental results obtained by Genetic Algorithm optimization of performance of the Data Warehouse design have shown advantages of the new approach by shortening the optimization time up to 50% for the same CPU time utilization. Another advantage is the increased stability of the time variance of the estimated execution time to approximately 30 minutes for runs on different Grid loads.

关键词： Genetic algorithms Design optimization Middleware Data warehouses Algorithm design and analysis Grid computing Parallel processing Biological cells scientific computing Informatics

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A Model-Driven DevOps Framework for QoS-Aware Cloud Applications

A Model-Driven DevOps Framework for QoS-Aware Cloud Applicat...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Michele Guerriero Michele Ciavotta Giovanni Paolo Gibilisco Danilo Ardagna Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milan Italy

Recently we witnessed a deep transformation in the the design, development and management of modern applications, which have grown in scope and size becoming distributed and service-oriented. A big part in this metamorphosis is played by the Cloud with the availability of almost-infinite resources, high availability and outsourced maintenance. this has led to the emergence of new software development methodologies to effectively deal with this paradigm shift in the field of software engineering. DevOps is one of them, it advocates for a greater level of collaboration and convergence between developers and other IT professionals. Consequently, new tools, purposely designed to ease this process, are required. In this scenario, we present SPACE4Cloud, a DevOps integrated environment for model-driven design-time quality of service assessment and optimization, and runtime capacity allocation of Cloud applications.

关键词： Quality of service Runtime Optimization Cloud computing Adaptation models Resource management

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Machine Learning based Malware Detection. How to Balance Memory Footprint with Model Accuracy.

Machine Learning based Malware Detection. How to Balance Mem...

引用

international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Dragos Teodor Gavrilut Dan Gabriel Anton George Popoiu Faculty of Computer Science Bitdefender Laboratory Iaşi România

ISBN: (纸本)9781538626276

Security vendors and malware creators play a game of cat and mouse for more than two decades now. the latest area of computer science that every security vendor uses is machine learning. However, usage of machine learning algorithms comes with a price, especially if dealing with large amounts of data. While training such an algorithm does not have too many limitations, there are a lot of constraints regarding its practical usability (low number of false positives, good execution speed, memory footprint, etc.). this paper aims to shed some light on different optimization aspects related to machine learning models focusing on how having extra memory at hand can be used to improve the model's accuracy. We will also discuss two major implementation directions (cloud versus local) and point out advantages and disadvantages in every case.

关键词： Decision trees Machine learning algorithms Computational modeling Malware Machine learning Security Cloud computing

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A Peer-to-Peer Swarm Creation and Management Framework

A Peer-to-Peer Swarm Creation and Management Framework

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Adriana Drăghici Marius Sandu-Popa Razvan Deaconescu Nicolae Tăpus Automatic Control and Computers Faculty University Politehnica of Bucharest Bucharest Bucharest

the continuous development of Internet bandwidth, communication and content variety have enabled peer-to-peer protocols to take place among the most heavily used protocols in the Internet, with BitTorrent as the current flagship. Recent research has focused on measuring Peer-to-Peer systems and proposing improvements and enhancements to existing protocol with the goal of ensuring rapid content distribution and general user satisfaction. In this paper we present a framework that allows easy swarm creation and control for different BitTorrent clients. With the help of a virtualized infrastructure and a client-server software layer we are able to create, command and manage large sized BitTorrent swarms. the framework allows a user to run, schedule, start, stop clients within a swarm and collect information regarding their behavior.

关键词： Servers Protocols Peer to peer computing Internet Bandwidth XML Extraterrestrial measurements

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On computing Non-negative Loop-Free Edge-Bipartite Graphs

On Computing Non-negative Loop-Free Edge-Bipartite Graphs

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Grzegorz Marczak Daniel Simson Katarzyna Zajac Faculty of Mathematics and Computer Science Nicolaus Copernicus University Toruń Poland

We continue the Coxeter spectral study of finite connected loop-free edge-bipartite graphs Δ, with n ≥ 2 vertices (a class of signed graphs), started in [SIAM J. Discrete Math., 27(2013), 827-854] by means of the complex Coxeter spectrum specc Δ ⊆ ℂ. Here, we discuss Coxeter spectral analysis problems of non-negative edge-bipartite graphs of corank s ≤ n-1, which means that the symmetric Gram matrix G Δ ∈ M n (ℤ) is positive semi-definite of rank n-s ≤ n. In particular, we study in details the loop-free edge-bipartite graphs of corank s = n - 1. We present algorithms that generate all such edge-bipartite graphs of a given size and, using symbolic and numerical computer calculations in Python, and we obtain their complete classification in relation with Diophantine geometry problems. We also construct algorithms that allow us to classify all connected loop-free non-negative edge-bipartite graphs Δ, with a fixed number n ≥ 2 of vertices, by means of their Coxeter spectra specc Δ .

关键词： Symmetric matrices Zinc Polynomials Classification algorithms Matrices Geometry Vectors

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Evaluation of Class Activation Methods for Understanding Image Classification Tasks

Evaluation of Class Activation Methods for Understanding Ima...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Andrei Dugăeșescu Adina Magda Florea Department of Computer Scinece University Politehnica of Bucharest Bucharest România

Machine Learning systems based on deep neural networks are powerful tools but their wide adoption has shown that both the designers and the users of DNN models must fight the barriers of understanding and controlling what has been learnt from data. To make such systems explainable and interpretable, model-specific post-hoc methods have been developed in the literature. this paper presents a family of such methods, Class Activation Mapping, used to explain the image classification process in Convolutional Neural Networks, and achieves a thorough evaluation of these methods. the analysis is done both a qualitative point of view, through the visualization of the activation heatmap of the image, and from a quantitative point of view, through several metrics that try to objectively quantify the relevant parts of an image which contributed to the classification. Several datasets are used to evaluate the discussed methods and a comparison between the obtained results is presented.

关键词： Measurement Heating systems Deep learning scientific computing Neural networks Data models Classification algorithms

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Solving Storage Limitations Using a Peer-to-Peer Web File System

Solving Storage Limitations Using a Peer-to-Peer Web File Sy...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Florian Mircea Boian Rares Florin Boian Department of Computer Science Babes Bolyai University Romania

Running out of disk space is a problem that appears more often then one would desire, even though the hard-drive capacities are becoming larger and the price per gigabyte lower. this is mainly due to the significant increase in the data manipulated by the average computer user, as well as the expected user reluctance to go out and buy another disk when the existing one is full. Besides the usual solution of deleting useless data from the hard-drive, the user can sign-up for an online backup plan, and move some files there. the paper offers an alternative solution to this problem through collaborative data storage in a peer-to-peer system. the proposed system will be made transparent to the user through a user-space file system implemented using the FUSE kernel module. the peer-to-peer communication will be done using Web Services. the data discovery will be done using the Chord algorithm.

关键词： Peer to peer computing File systems Memory Switches scientific computing Computer science Collaboration Fuses Kernel Web services

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Towards Verified Polynomial Factorisation

Towards Verified Polynomial Factorisation

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： James H. Davenport Department of Computer Science and Mathematical Sciences University of Bath Bath United Kingdom

Computer algebra systems are really good at factoring polynomials, i.e. writing $f$ as a product of irreducible factors. It is relatively easy to verify that we have a factorisation, but verifying that these factors a... 详细信息

ISBN: (数字)9798331532833

ISBN: (纸本)9798331532840

关键词： scientific computing Algebra Writing Polynomials

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