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A Metadata Application Profile to Structure a Scientific Database for Social Network Analysis (SNA)

A Metadata Application Profile to Structure a Scientific Dat...

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international conference in Software Engineering Research and Innovation (CONISOFT)

作者： Araceli López-Acosta Alejandra García-Hernández Sodel Vázquez-Reyes Alejandro Mauricio-González Autonomous University of Zacatecas (UAZ) Zacatecas Mexico

ISBN: (数字)9781728184500

ISBN: (纸本)9781728184517

there are a number of challenges associated to metadata in its different applications including data quality, data acquisition, computing resources, interoperability, and discoverability. this work presents an approach to structure metadata of scientific information for social network analysis based on an academic case study from scientific articles published by universities, to evaluate the area of risk assessment. Studying metadata for scientists' social networks helps identify authors' relevance based on their position within the network. By using Elasticsearch (ES) and Python technologies, this work addresses big data analysis issues related to data structure and volume, given ES full-text search engine capabilities for indexing and searching data, and Python's processing support. the data is obtained from the ArnetMiner (Aminer) open scientific database providing a fresh overview of scientific records up to January 2019. From a sample of 64,070 publications, a total of 45, 000 relations are graphed in a co-authorship network. through the computation of network centrality measures, this work identifies central-positioned authors, clusters of research, and their affiliations. the results show that degree centrality is an important measure to identify prominent scientists in this co-authorship network, and closeness and betweenness centralities together are dominant measures to pinpoint the key players in the flow of information within the network. We conclude that the application of this approach allows rapid full-text search, visualizing dense co-authorship networks, and identifying central authors through centrality metrics. the results presented in this work can help researchers or research groups identify key research collaborators, multi-disciplinary areas, and international stakeholders.

关键词： Metadata Social networking (online) Databases Search engines Interoperability Internet Libraries

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distributed Parallelizability Analysis of Legacy Code 16

Distributed Parallelizability Analysis of Legacy Code

引用

16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Zhao, Junfeng Zhao, Zhimei Yang, Hongji Inner Mongolia Univ Coll Comp Sci Hohhot Peoples R China Univ Leicester Dept Informat Leicester Leics England

ISBN: (纸本)9781728111414

With the emergence of cloud computing and big data, migrating legacy systems to a cloud platform has become a trend. To make full use of the parallel advantage of cloud computing, it is necessary to refactor the legacy code according to the programming model of cloud computing. Before that, the parallelizability analysis is the first thing to do. In this paper, an approach is proposed for the distributed parallelizability analysis of legacy code, which is based on the analysis of dependency between loop iterations. According to the categories of the traditional dependency, the dependency between loop iterations is divided into three types, and the judgment rules of the dependency between loop iterations are proposed. then a distributed Parallelizability Analysis Tool (DPAT) based on Abstract Syntax Tree (AST) was developed to identify and annotate the parallelizable loops. Experimental results show that the approach can effectively identify the parallelizable code fragments, which will be the target objects of refactoring. In contrast to the existing approaches, our method can identify parallelizability between loop iterations and not limit the type of the loop.

关键词： legacy code abstract syntax tree distributed parallelizability analysis dependency between loop iterations

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Predicting execution time of CUDA kernel using static analysis 16

Predicting execution time of CUDA kernel using static analys...

引用

16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Alavani, Gargi Varma, Kajal Sarkar, Santonu BITS Pilani KK Birla Goa Campus Sancoale Goa India

ISBN: (纸本)9781728111414

With the growing demand for performance-oriented problems, programmers routinely execute the embarrassing parallel part of the application (GPU kernels) in a GPU in order to achieve significant speedup. these applications are becoming complex and long-running which makes it energy inefficient. Anticipating its execution time can help the developers to fix the inefficient code before running it. In this paper, we propose an approach to predict the execution time of a GPU kernel without the need of executing it. We build an analytical model to predict the execution time of a GPU kernel by analyzing the intermediate PTX code of a CUDA kernel. Our experimental analysis of a set of benchmarks shows that for 45 applications the estimated execution time has the mean absolute error of 26.86% when compared to the actual execution time. Mean absolute error for benchmarks belonging to Dynamic programming dwarf is minimum, followed by Dense Linear Algebra benchmarks.

关键词： High Performance computing GPGPU Prediction Technique Analytical Model

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Emergency analysis based on affective computing in universities forum 5th

Emergency analysis based on affective computing in universit...

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5th international conference on Artificial Intelligence and Security, ICAIS 2019

作者： Zhang, Lu Wu, Xu Xie, Xiaqing Xu, Jin Zhang, Tianle Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing100876 China School of Cyberspace Security BUPT Beijing100876 China Beijing University of Posts and Telecommunications Library Beijing100876 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China

ISBN: (纸本)9783030242701

Emergency analysis for social networking sites have gained increased attention. In order to detect emergencies in University Forums, we present an emergency analysis method based on affective computing. the method detects the emergency and calculates the scores in real-time based on affective computing and the University Public Opinion Ontology (UPO_Ontology) established manually. the method is evaluated on two test datasets. the results show that the UPO_Ontology and affective computing greatly improved the accuracy, recall and F-measure. the method proposed in this paper meets the requirement of real-time detection. What's more, It gain of 1.24% in F-measure over the "event-specific detection" proposed by Laylavi et al. and outperforms emergency detect using contextual semantics by nearly 7.1% in F-measure. the analysis of the emergencies in University Forums will help Universities deal with emergencies more effectively and provide students with better service. © Springer Nature Switzerland AG 2019.

关键词： Semantics

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Precision Poultry Farming: Software Architecture Framework and Online Zootechnical Diary for Monitoring and Collaborating on Hens’ Health 1

引用

8th international conference on Information and Communication Technologies in Agriculture, Food and Environment, HAICTA 2017

作者： Stefanova, Magdalena Department of Computing Systems Faculty of Mathematics and Informatics Sofia University "St. Kliment Ohridski" Sofia Bulgaria

ISBN: (数字)9783030129989

ISBN: (纸本)9783030129972

Livestock farming needs to reach superior productivity levels in an environmentally sustainable manner. In order to accelerate the development of the livestock industry, it is important to make optimal use of farming knowledge and provide farmers with adequate information technologies. this article describes the realisation of a precision livestock management information technology framework that can serve as a practical guide for the development of new and various livestock management software products. the business domain focus is on the egg industry with a detailed precision poultry farming example and real realization. the online platform specified hereafter as zootechnical diary delivers monitoring and collaborative capabilities to improve laying hens’ health and welfare at industrial poultry farms. It connects egg and breeding farms through cloud technologies to provide continuous data recording, automatic comparisons between actual and expected production indicators, e-networking and integrated data-flow between the two parties. Breeding farms benefit from enhanced competitiveness, improved supplier-client relationships, while egg farms enjoy management precision, timely feedback on animals’ health and economic benefits. © 2019, Springer Nature Switzerland AG.

关键词： Health

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Proportion Scheduler to Improve the Mismatched Locality in YARN 16

Proportion Scheduler to Improve the Mismatched Locality in Y...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Xu, Jie Wang, Jingyu Qi, Qi Liao, Jianxin Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China

ISBN: (纸本)9781728111414

YARN is a prevailing central resource management architecture, which allocates a group of resources to each application. the resource group is consistent with locality requests of tasks in applications. But each application allocates the resources in the resource group to each task according to locality capacities of resources. Different rules in two levels of resource allocations lead to mismatched localities for tasks, which hurts performances of applications. there is a lack of researches about mismatched localities for tasks in YARN. this paper designs a scheduler to improve mismatched localities without dragging applications. the locality capacities of resources becomes unified allocation rule. Resources are classified by the locality requests of tasks, so that resources in the same category are versatile for tasks with the same level of locality request. this classification decreases the mismatched probability. In addition, the improvement of mismatched localities makes compromises between different applications. Every application is assigned with proportional resources in different locality scales for improved performances. Compared to baseline schedulers, there are 2 times data-local tasks and more than 30% rack-local tasks. the decreases makespan of applications by a maximum 66.7% and network traffic by an utmost 80%.

关键词： YARN mismatched locality proportion

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Secure Virtual Machine Placement and Load Balancing Algorithms with High Efficiency 16

Secure Virtual Machine Placement and Load Balancing Algorith...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Wong, Yuchen Shen, Qingni Peking Univ Sch Software & Microelect Beijing Peoples R China

ISBN: (纸本)9781728111414

With the fast development of cloud computing, cloud demand has exploded. In order to meet the primary performance needs of cloud users, cloud service providers need to carry out load balancing policy for virtual machines (VMs), which exacerbates the co -residence threats. In this paper, we try to solve the problem from the perspective of VM management, that is to say, we optimize the VM management policy to reduce the chances that ordinary VMs resident with the malicious VMs. In previous researches, the basic idea is to make the attack as difficult as possible during the placement, but there is little discussion about how to retrieve after the attacker successfully co -resident. Compared with them, for the first time we introduce the concept of Familiarity to mark cloud users and their VMs, and then design a secure VM placement algorithm and a secure load balancing algorithm. these algorithms not only make the co -residence difficult but can handle the security issue after it happens. After evaluation, our algorithms can well achieve the expectations.

关键词： cloud computing security co-residence threat load balancing virtual machine migration

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An On-the-fly Scheduling Strategy for distributed Stream Processing Platform 16

An On-the-fly Scheduling Strategy for Distributed Stream Pro...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Wang, Wen'an Zhang, Chuang Chen, Xiaojun Li, Zhao Ding, Hong Wen, Xin Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9781728111414

distributed stream processing can accomplish real-time processing of continuous streaming big data to obtain valuable information with high velocity. To maintain continuously stable and efficient running of stream applications, however, continuous online scheduling operations are required in the context of highly dynamic data stream. For this reason, this paper proposes the on-the-fly scheduling strategy in a distributed stream processing environment, which dynamically predicts abnormal events through double exponential smoothing and adopts trafficaware active migration protocol to adjust the network routing structure on-the-fly to balance the inter-worker load. Moreover, an evaluation method is proposed to quantitatively analyze the various scheduling objectives. Finally, we commendably apply the scheduling strategy to a stream processing platform, which regards docker instance as basic scheduling units. Meanwhile, based on the platform and the evaluation method, we complete performance comparison experiments of the scheduling algorithm. the experimental results indicate that our algorithm has excellent performance in throughput of topology, average processing time and balance of task load, which is suitable for deployment in a distributed environment with large-scale nodes and tasks.

关键词： distributed stream processing prediction algorithm exponential smoothing traffic-aware migration evaluation method

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S2R: Service trading based response time optimization in mobile edge computing 16

S2R: Service trading based response time optimization in mob...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Mishra, Pritish Tiwary, Mayank Yang, Laurence T. Puthal, Deepak SAP Labs Prod & Innovat Bangalore Karnataka India St Francis Xavier Univ Antigonish NS Canada Univ Technol Sydney Sydney NSW Australia

ISBN: (纸本)9781728111414

New caching forms coupled with Mobile Edge computing (MEC) supports new computing architecture at the physical proximity of the end-users. One of the similar architectures is mobile cloudlet, where a smartphone offers computations to another smartphone. However, the mobile edge computing architecture still has lots of issues related to response time optimization and resource provisioning. this paper focuses on a novel auction strategy to optimize resource utilization and as a result, proposed scheme minimizes the response time. the auction scheme is developed using multiple-leader and multiple-follower Stackelberg game model, which optimizes the utility of both users and mobile edges using non-cooperative approach for users and co-operative approach for mobile edges. Finally, the proposed scheme is simulated in NS3 environment and compared with existing schemes to validate the performance of proposed scheme. We observe that with the proposed scheme, there is a steep increase in overall utility in terms of response time and resource utilization.

关键词： Mobile Cloudlets Price Trading Multiple-Leader-Multiple-Follower Stackelberg Game Response Time Smart-Phones

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Anomaly Detection Approaches for Secure Cloud Reference Architectures in Legal Metrology 8

Anomaly Detection Approaches for Secure Cloud Reference Arch...

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8th international conference on Cloud computing and Services Science (CLOSER)

作者： Oppermann, Alexander Toro, Federico Grasso thiel, Florian Seifert, Jean-Pierre Phys Tech Bundesanstalt PTB Dept Metrol IT 8 5 Berlin Germany Tech Univ Berlin Secur Telecommun Berlin Germany

ISBN: (纸本)9789897582950

Securing Computer Systems against all kind of threats is an impossible challenge to fulfill. Although, in the field of Legal Metrology, it shall be assured that one can rely on the measurement carried out by a trusted computer system. In a distributed environment, a measurement instrument cannot be simply disconnected to gurantee its security. However, being able to monitor the computer systems constantly in order to deduce a normal system behaviour, can be a particular promising approach to secure such systems. In cases of detected anomalies, the system evaluates them to measure the severity of the detected incident and place it into three different categories: green, yellow and red. the presented Anomaly Detection Module can detect attacks against distributed applications in an cloud computing environment, using pattern recognition for clustering as well as statistical approaches. Both, inexperienced and experienced attacks have been tested and results are presented.

关键词： Anomaly Detection Continous Monitoring Secure Cloud computing Anomaly Detection as a Service distributed computing Legal Metrology

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