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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Bruno Cattelan Steffen Bondorf TU Kaiserslautern DISCO Distributed Computer Systems Lab Ruhr University Bochum Faculty of Mathematics Center of Computer Science

ISBN: (数字)9781728173030

ISBN: (纸本)9781728173047

In many application domains such as the automotive and the avionics sector, networks need to fulfill different non-functional requirements. Among them is the strict demand to provide predictable and deterministic worst-case communication performance. Without formal verification of this property, an entire system embedding the network may not be certified and thus not be operated. A methodology for formal verification of communication performance is the Deterministic Network Calculus (DNC). DNC is under active development to better model real systems and to reduce pessimism required to provide verifiably correct bounds on communication delays. This previous work is mostly of theoretical nature. In our paper, we aim at providing a testbed design to benchmark bounds against measurements. Our design is composed of off-the-shelf components that we accompany with a custom software stack for taking measurements (network configuration and time stamping) as well as deriving delay bounds with DNC (system modeling and analysis). We also provide lessons-learned as well as first results that compare delay measurements and DNC-derived bounds.

关键词： Delays Aerospace electronics Servers Economic indicators Computational modeling Software Calculus

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A mesh quality discrimination method based on convolutional neural network

A mesh quality discrimination method based on convolutional ...

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2020 IEEE International Conference on Artificial Intelligence and computer Applications, ICAICA 2020

作者： Xu, Zhenpeng Chen, Xinhai Chi, Lihua Liu, Jie Gong, Chunye Sci. and Technol. on Parallel and Distributed Proc. Lab. Lab. of Software Eng. for Complex Systems National University of Defense Technology Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728170046

With the rapid development of highperformance computing, computational fluid dynamics (CFD) has become an important part of hydrodynamics and aerodynamics. Mesh quality is the key factor that affects the accuracy and efficiency of CFD numerical calculation. However, the current the process of mesh quality discrimination is very time-consuming. The manpower time needed for this process takes up a large proportion in the whole numerical calculation process. A large number of artificial intelligence algorithms have been put forward to replace the human to efficiently complete all kinds of tedious tasks. In this paper, we propose a convolutional neural network (CNN) based mesh quality discrimination method, MeshNet. MeshNet uses residual neural network structure to learn mesh features and automatically judge the mesh quality. The experimental results show that the proposed network can greatly save labor time cost and achieve an accuracy of 94.41% for mesh quality discrimination. © 2020 IEEE.

关键词： Convolutional neural networks

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ScholarLensViz: A visualization framework for transparency in semantic user profiles 19

ScholarLensViz: A visualization framework for transparency i...

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19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020

作者： Felicitas Loffe Valentin Wesp Samira Babalou Philipp Kahn Rene Lachmann Bahar Sateli Rene Witte Birgitta Konig-Ries Heinz Nixdorf Chair for Distributed Information Systems Institute for Computer Science Friedrich Schiller University Jena Germany Michael Stifel Center for Data-Driven and Simulation Science Jena Germany Halle-Jena-Leipzig Germany Semantic Software Lab Concordia University Montreal Canada

Personalized applications are a two-edged sword. They are convenient and assist users by keeping the focus on relevant topics, but they are often black boxes and users typically do not know why certain entries appear in their profile. As transparency and provenance are essential for researchers, in this paper, we introduce ScholarLensViz, a visualization component for scholarly user profiles displaying a scholar's research competences including the provenance. It also provides visualizations to inspect the diversity of a profile and to analyze the semantic similarity of the profile entries. © 2020 CEUR-WS. All rights reserved.

关键词： Visualization

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Assessing differences in flow state induced by an adaptive music learning software

arXiv

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arXiv 2020年

作者： Haug, Martin Camps, Paavo Umland, Tobias Voigt-Antons, Jan-Niklas Complex and Distributed It Systems Tu Berlin Information Systems Engineering Tu Berlin Computer Science Tu Berlin Quality and Usability Lab Tu Berlin Berlin Germany

Technology can facilitate self-learning for academic and leisure activities such as music learning. In general, learning to play an unknown musical song at sight on the electric piano or any other instrument can be quite a chore. In a traditional self-learning setting, the musician only gets feedback in terms of what errors they can hear themselves by comparing what they have played with the score. Research has shown that reaching a flow state creates a more enjoyable experience during activities. This work explores whether principles from flow theory and game design can be applied to make the beginner's musical experience adapted to their need and create higher flow. We created and evaluated a tool oriented around these considerations in a study with 21 participants. We found that provided feedback and difficulty scaling can help to achieve flow and that the effects get more pronounced the more experience with music participants have. In further research, we want to examine the influence of our approach to learning sheet music. Copyright © 2020, The Authors. All rights reserved.

关键词： Music

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Dynamic Management of Traffic Signals through Social IoT

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Procedia computer Science 2020年 171卷 1908-1916页

作者： Roopa M S Ayesha Siddiq S Rajkumar Buyya Venugopal K R S S Iyengar L M Patnaik IoT Lab University Visvesvaraya College of Engineering Bangalore University Bengaluru India Cloud Computing and Distributed Systems (CLOUDS) Lab School of Computing and Information Systems The University of Melbourne Australia Bangalore University Bengaluru India Department of Computer Science and Engineering Florida International University USA National Institute of Advanced Studies Indian Institute of Science Campus Bengaluru India

Traffic congestion is a major threat to transportation sector in every urban city around the world. This causes many adverse effects like, heavy fuel consumption, increased waiting time, pollution, etc. and pose an eminent challenge to the movement of emergency vehicles. To achieve better driving we proceed towards a trending research field called Social Internet of Vehicles (SIoV). A social network paradigm that permits the establishment of social relationships among every vehicle in the network or with any road infrastructure can be radically helpful. This holds as the aim of SIoV, to be beneficial for the drivers, in improving the road safety, avoiding mishaps, and have a friendly-driving environment. In this paper, we propose a Dynamic congestion control with Throughput Maximization scheme based on Social Aspect (D-TMSA) utilizing the social, behavioral and preference-based relationships. Our proposed scheme along with the various social relationship types allocates green signal to maximize the traffic flow passing through an intersection. Simulation results show that the D-TMSA outperforms the existing work by achieving high throughput, lowering the total traveling time and reducing the average waiting time to better the flow of traffic based on their social attributes with each other.

关键词： Dynamic Traffic Control Traffic Congestion Management Social Internet of Vehicles (SIoV) Social Relationships

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CLAWER: Context-aware Cloud-Fog based Workflow Management Framework for Health Emergency Services

CLAWER: Context-aware Cloud-Fog based Workflow Management Fr...

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IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID)

作者： Shreya Ghosh Jaydeep Das Soumya K Ghosh Rajkumar Buyya Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India Advanced Technology Development Centre Indian Institute of Technology Kharagpur India Cloud Computing and Distributed Systems (CLOUDS) Lab School of Computing and Information Systems The University of Melbourne Australia

ISBN: (数字)9781728160955

ISBN: (纸本)9781728196497

With the major development of sensor technologies and advancements of communication network infrastructures, there is a growing interest to add more intelligence in the e-health monitoring for facilitating an effective healthcare system. While IoT devices are capable of continuous health-parameter sensing and providing notifications to the user, an effective business process management (BPM) facilitates effective system integration and data processing workflow. This paper proposes an efficient framework for managing emergency situations (specifically, health-related) through the analysis of heterogeneous data sources. The proposed framework, named CLAWER (CLoud-Fog bAsed Workflow for Emergency seRvice) aims to bridge the gap between process management and data analytics by providing an automated workflow for personalized health-monitoring and efficient recommendation system. Here, the IoT devices are used for collecting the movement and health data. The smart phone can act as an edge device to acquire data with user movement information. The accumulated data is initially processed inside the fog device, and finally the analysis and recommendations are generated by the cloud. In this paper the indoor health-status of the users are analysed in small cell cloud enhanced eNode B, which is used as fog device. The generated recommendations are stored in the fog device to provide the recommendations to the users with low latency and in timely manner. The experimental analysis of CLAWER yields better precision and recall values than the existing methods.

关键词： Cloud computing Roads Medical services Markov processes Monitoring Delays Biomedical monitoring

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Assessing Differences in Flow State Induced by an Adaptive Music Learning Software

Assessing Differences in Flow State Induced by an Adaptive M...

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International Workshop on Quality of Multimedia Experience, QoMEx

作者： Martin Haug Paavo Camps Tobias Umland Jan-Niklas Voigt-Antons Complex and Distributed IT Systems TU Berlin Germany Information Systems Engineering TU Berlin Germany Computer Science TU Berlin Germany Quality and Usability Lab TU Berlin Germany German Research Center for Artificial Intelligence (DFKI) Berlin Germany

ISBN: (数字)9781728159652

ISBN: (纸本)9781728159669

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CACAI: Comparative analysis of crypto apps in India

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AIP Conference Proceedings 2023年第1期2916卷

作者： Rahul Johari Anuj Talwar Suhas Harbola Jyotsna Yadav Himesh Nayak Deo Prakash Vidyarthi SWINGER: Security Wireless IoT Network Group of Engineering and Research University School of Information Communication and Technology (USICT) Guru Gobind Singh Indraprastha University Sector-16C Dwarka Delhi India Computer vision and Image processing lab University School of Information Communication and Technology (USICT) Guru Gobind Singh Indraprastha University Sector-16C Dwarka Delhi India School of Computer and Systems Sciences Parallel and Distributed Systems Lab JNU Delhi India

Crypto-currency is a decentralized digital currency which can be used as a medium of exchange. As it does not have any central authority, it is unregulated and a volatile asset. Globally the crypto market is worth a few trillion dollars. The Indian crypto market suffered a lot due to a ban imposed by the Reserve Bank of India (RBI), an Indian regulatory agency, which lasted for around two years. Even after the ban and cautions issued by the RBI, the crypto market in India touched a billion dollar mark in no time. Currently, the crypto market has more than 10 million Indian investors which is growing fast as the number of exchange apps in the Indian market increase with the ease of trading in crypto. In the current research work Comparative Analysis of Crypto App in India (CACAI) has been performed and results exceed the expectations.

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[email protected] : Electricity price and source aware resource management in geographically distributed heterogeneous datacenters

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Journal of systems and Software 2021年 175卷

作者： Hashim Ali Muhammad Zakarya Izaz Ur Rahman Ayaz Ali Khan Rajkumar Buyya Department of Computer Science Abdul Wali Khan University Mardan Pakistan Cloud Computing and Distributed Systems (CLOUDS) Lab School of Computing and Information Systems The University of Melbourne Australia

With rapid availability of renewable energy sources and growing interest in their use in the datacenter industry presents opportunities for service providers to reduce their energy related costs, as well as, minimize the ecological impact of their infrastructure. However, renewables are largely intermittent and can, negatively affect users’ applications and their performance, therefore, the profit of the service providers. Furthermore, services could be offered from those geographical locations where electricity is relatively cheaper than other locations; which may degrade the applications’ performance and potentially increase users’ costs. To ensure larger providers’ profits and lower users’ costs, certain non-interactive workloads could be either: moved and executed in geographical locations offering the lowest energy prices; or could be queued and delayed to execute later (in day or night time) when renewables, such as solar and wind energies, are at peak. However, these may have negative impacts on the energy consumption, workloads performance, and users’ costs. Therefore, to ensure energy, performance and cost efficiencies, appropriate workload scheduling, placement, migration, and resource management techniques are required to mange the infrastructure resources, workloads, and energy sources. In this paper, we propose a workload placement and three different migration policies that maximize the providers’ revenues, ensure the workload performance, reduce energy consumption, along with reducing ecological impacts and users’ costs. Using real workload traces and electricity prices for several geographical locations and distributed, heterogeneous, datacenters, our experimental evaluation suggest that the proposed approaches could save significant amount of energy ( ∼ 15.26%), reduces service monetary costs ( ∼ 0.53% - ∼ 19.66%), improves ( ∼ 1.58%) or, at least, maintains the expected level of applications’ performance, and increases providers’ revenue along with

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SDVADC: Secure Deduplication and Virtual Auditing of Data in Cloud

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Procedia computer Science 2020年 171卷 2225-2234页

作者： Geeta C M Shreyas Raju R G Raghavendra S Rajkumar Buyya Venugopal K R S S Iyengar L M Patnaik Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore University Bengaluru Cloud Computing and Distributed Systems (CLOUDS) Lab The University of Melbourne Australia Vice Chancellor Bangalore University Bengaluru Department of Computer Science and Engineering Florida International University USA INSA National Institute of Advanced Studies Indian Institute of Science Campus Bangalore India

Over the last few years, deploying data to cloud service for repository is an appealing passion that avoids efforts on significant information sustenance and administration. In distributed repository utilities, deduplication technique is often exploited to minimize the capacity and bandwidth necesseties of amenities by erasing repetitive data and caching only a solitary duplicate of them. Proof-of-Ownership mechanisms authorize any possessor of the identical information to approve to the distributed repository server that he possess the information in a dynamic way. In repository utilities with enormous information, the repository servers may intend to minimize the capacity of cached information, and the customers may want to examine the integrity of their information with a reasonable cost. We propose Secure Deduplication and Virtual Auditing of Data in Cloud (SDVADC) mechanism that realizes integrity auditing and deduplication of information in cloud. The mechanism supports secure deduplication of information and effective virtual auditing of the documents during the download process. In addition, the proposed mechanism lowers the burden of dataowner to audit documents by himself and there is no need to delegate auditing to the Third Party Auditor (TPA). Experimental results demonstrate that the virtual auditing has low auditing time cost relative to the existing public auditing schemes.

关键词： Cloud Computing Deduplication Virtual Auditing Public Auditing Proof of Retrievability Proof of Ownership

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