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the 9th international conference on Smart Media and applications

作者： TaeHong Kim YoonSeok Cha ByeonChun Shin ByungRae Cha Gwangju Metro-city S. Korea Chonnam National Uniersity S. Korea

ISBN: (纸本)9781450389259

By the Fourth Industrial Revolution and the 10 strategic technology of the Gartner Group, Artificial Intelligence(AI) technology was important and affected many areas. One of the ways to accelerate AI services is the Python-based parallel processing library. High-level programming languages such as Python are increasingly used to provide intuitive interfaces to libraries written in lower-level languages and for assembling applications from various components. this migration towards orchestration rather than implementation, coupled with the growing need for parallel computing (e.g., due to big data and the end of Moore's law), necessitates rethinking how parallelism is expressed in programs.[1] In this paper, take a look at a Python-based distributed parallel processing library, one of the ways to accelerate AI services, and use it to compare serial and parallel processing times.

关键词： Artificial Intelligence

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A distributed Multi-source Feature Selection Using Spark 4th

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4th international conference on Advanced Machine Learning technologies and applications, AMLTA 2019

作者： Zaghdoudi, Bochra Bouaguel, Waad Essoussi, Nadia LARODEC ISG University of Tunis Tunis Tunisia College of Business University of Jeddah Jeddah Saudi Arabia

ISBN: (纸本)9783030141172

Feature selection is one of the key problems in data pre-processing because it brings the immediate effects on the data mining algorithm. Using high-dimensional data sets, we can describe the data based on multiple sources, which corresponding to different knowledge sources. Multi-source feature selection is another topic relevant with large-scale data. Learning and selecting features from multiple data sources is becoming more common and much needed in many real-world applications. In this work, we propose a new multisource feature selection method based on traditional filters where data sources contain the same set of instances but different sets of features. this method is implemented using Spark as a powerful parallel framework for large-scale data processing. Conducted experiments approve the effectiveness of our approach in terms of execution time and where the classification accuracy is maintained. © 2020, Springer Nature Switzerland AG.

关键词： Feature Selection

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Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology 10

Formal Description of Use Cases for Industry 4.0 Maintenance...

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10th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems - Technology and applications (IDAACS)

作者： Stodt, Jan Jastremskoj, Eugen Reich, Christoph Welte, Dominik Sikora, Axel Hsch Furtwangen Univ Inst Cloud Comp & IT Secur IFCCITS Furtwangen Germany Offenburg Univ Appl Sci Hsch Offenburg Inst Reliable Embedded Syst & Commun Elect IvESK Offenburg Germany

ISBN: (纸本)9781728140681

Maintenance processes in Industry 4.0 applications try to achieve a high degree of quality to reduce the downtime of machinery. the monitoring of executed maintenance activities is challenging as in complex production setups, multiple stakeholders are involved. So, full transparency of the different activities and of the state of the machine can only be supported, if these stakeholders trust each other. therefore, distributed ledger technologies, like Blockchain, can be promising candidates for supporting such applications. the goal of this paper is a formal description of business and technical interactions between non-trustful stakeholders in the context of Industry 4.0 maintenance processes using distributed ledger technologies. It also covers the integration of smart contracts for automated triggering of activities.

关键词： Blockchain maintenance machine integration smart contracts distributed system

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Entropy based mitigation of distributed-Denial-of-Service (DDoS) attack on Control Plane in Software-Defined-Network (SDN) 10

Entropy based mitigation of Distributed-Denial-of-Service (D...

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10th international conference on computing, Communication and Networking technologies (ICCCNT)

作者： Yadav, Sanjay Kumar Suguna, P. Velusamy, R. Leela Natl Inst Technol Comp Sci & Engn Tiruchirappalli 620015 India

ISBN: (纸本)9781538659069

SDN is new networking concept which has revolutionized the network architecture in recent years. It decouples control plane from data plane. Architectural change provides re- programmability and centralized control management of the network. At the same time it also increases the complexity of underlying physical infrastructure of the network. Unfortunately, the centralized control of the network introduces new vulnerabilities and attacks. Attackers can exploit the limitation of centralized control by DDoS attack on control plane. the entire network can be compromised by DDoS attack. Based on packet entropy, a solution for mitigation of DDoS attack provided in the proposed scheme.

关键词： SDN Data plane Control plane Centralized control DDoS Attack Vulnerabilities Mitigation Entropy

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parallelization of Data Buffering and Processing Mechanism in Mesh Wireless Sensor Network for IoT applications 6th

Parallelization of Data Buffering and Processing Mechanism i...

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6th international conference on Advanced computing, Networking, and Informatics, ICACNI 2018

作者： Jain, Monika Saxena, Rahul Jaidka, Siddharth Jhamb, Mayank Kumar School of Computing and Information Technology Manipal University Jaipur Jaipur India

ISBN: (纸本)9789811396793

IoT, being a field of great interest and importance for the coming generations, involves certain challenging and improving aspects for the IoT application developers and researchers to work upon. A wireless sensor mesh networking has emerged as an attractive option for wide range of low-power IoT applications. this paper shows that how the data can be stored, read and processed parallelly by the parent node in the cluster from multiple sensor nodes, thus reducing the response time drastically. the use of parallelized algorithm for the communication protocol optimized using OpenMP standards for multi-core architecture between the sensors and parent node enables multiple radio technologies to be used for an application which could not be more than one in case of serial processing. the proposed algorithm has been tested for a wireless network application measuring temperature and moisture concentrations using numerous sensors for which the response time is recorded to be less than 10 ms. the paper also discusses in detail the hardware configurations for the application tested along with the results throwing light on the parallel mechanism for buffering and processing the messages. Finally, the paper is concluded by claiming the edge of parallel algorithm-based routing protocol over the serial in the light of graphical results and analysis. © 2020, Springer Nature Singapore Pte Ltd.

关键词： parallel algorithms

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Blockchain based distributed Consensus for Byzantine Fault Tolerance in PMU Network 10

Blockchain based Distributed Consensus for Byzantine Fault T...

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10th international conference on computing, Communication and Networking technologies (ICCCNT)

作者： Iyer, Sreerag thakur, Snehal Dixit, Mihirraj Agrawal, Ashish Katkam, Rajneesh Kazi, Faruk Veermata Jijabai Technol Inst Ctr Excellence CoE Complex & Nonlinear Dynam Syst Mumbai Maharashtra India

ISBN: (纸本)9781538659069

Smart grids are in their developing stages, but they are going to impact the world soon. the more they influence us, the more they have a threat of being misused. Industrial Internet of things(IIoT) is being extensively used in various smart grid based applications. IIoT has been an area for cyber-attacks to drastically affect various industries and businesses. Existing technologies are just not enough to deal with cyber-physical systems. Blockchain can help in creating more efficient, secure and reliable IIoT systems. Such systems, which involve rapid, distributed and complex energy transactions and data exchanges often face integrity and trust related issues. Blockchain can provide a solution to such problems. third-party interactions have been removed using blockchain based smart contracts, thereby facilitating the adoption of decentralization and establishing a global truth across all the nodes in the network. Efficiency can further be increased by logging only the most important events like faults in the system or injection of malicious data. this paper proposes an innovative collective decision algorithm using blockchain to build a resilient network of Phasor Measurement Units(PMUs) for Wide Area Measurement System(WAMS). the algorithm not only identifies "malicious" nodes in the system but also takes the correct decision, even in their presence, to perform further action. the proposed solution is validated on a hardware-in-loop platform with the hardware PMUs connected on an IEEE 9 bus system.

关键词： Blockchain Smart Grids Consensus Protocol Ethereum

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Techno-Economic Issues with Increasing DG Penetration level in Sub-Transmission System 10

Techno-Economic Issues with Increasing DG Penetration level ...

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10th international conference on computing, Communication and Networking technologies (ICCCNT)

作者： Srinivas, N. Kale, V. S. Visvesvaraya Natl Inst Technol Dept Elect Engn Nagpur Maharashtra India

ISBN: (纸本)9781538659069

the increasing interest in utilizing distributed Generation (DG) in transmission system is due to rise in energy demand, restriction in new transmission lines, deregulated power and utility limitations. Introduction DG into the electrical network can improve its performance technically. Both DG placement and its penetration level become critical issue for both utility and DG owners. this paper presents the extent to which DG effect the power losses depending on the type of DG, its penetration level (PL) and its optimal location. In this paper, optimal DG placement and sizing in electrical network is found by using a Directed Bee Colony (DBC) optimization algorithm. the objective is to reduce the power losses and enhance voltage profile of the electrical system. the effectiveness of the DBC had been tested on IEEE 14-bus sub-transmission system and is compared with results obtained with Particle Swarm Optimization (PSO) method. As the PL of 55-60% and 70-75% is achieved the real and reactive power losses begin to increase respectively for DGs of type-2 in the electrical system. It is also observed that the net saving cost due to DG placement is beneficial up to 65% PL of DG.

关键词： distributed Generation Penetration level Directed Bee Colony algorithm DG cost analysis

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A Novel Framework for Pharmaceutical Supply Chain Management using distributed Ledger and Smart Contracts 10

A Novel Framework for Pharmaceutical Supply Chain Management...

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10th international conference on computing, Communication and Networking technologies (ICCCNT)

作者： Jangir, Sandip Jaiswal, Alok Chandel, Sheetal Muzumdar, Ajit Modi, Chirag N. Vyjayanthi, C. NIT Goa Dept CSE Veling India NIT Goa Dept EEE Veling India

ISBN: (纸本)9781538659069

Supply chain in industry is a flow of information and goods traversal through multiple suppliers such as raw material suppliers, manufacturers, distributors, retailers and end users. Supply chain management (SCM) helps in smooth monitoring and accounting of information and goods traversal among multiple users. However, the existing supply chain management processes lack in offering transparency of information, user's privacy, timely updates on demand peaks, improper tracing of information, quality management, deal repudiation and trust among users. To address these problems, we propose a novel framework for pharmaceutical supply chain management which uses an ethereum blockchain, a distributed ledger technology. We propose different smart contracts to manage pharmaceutical supply chain processes over an ethereum blockchain. this framework helps in achieving user privacy, transparency of the supplied drug, tracking of drugs, quality management, non-repudiation and demand supply management with the improved trust among the users. At the end, we analyze the proposed framework in terms of fulfilling the pharmaceutical supply chain management requirements.

关键词： Pharmaceutical supply chain management Blockchain Smart contract Demand supply management Quality management

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A cloud-agnostic queuing system to support the implementation of deadline-based application execution policies

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FUTURE GENERATION COMPUTER SYSTEMS-thE international JOURNAL OF ESCIENCE 2019年 101卷 99-111页

作者： Kiss, Tamas DesLauriers, James Gesmier, Gregoire Terstyanszky, Gabor Pierantoni, Gabriele Abu Oun, Osama Taylor, Simon J. E. Anagnostou, Anastasia Kovacs, Jozsef Univ Westminster Ctr Parallel Comp 115 New Cavemdish St London W1W 6UW England Univ Kent Sch Comp Cyber Secur Grp Canterbury Kent England Brunel Univ London Modelling & Simulat Grp Kingston Lane Uxbridge UB8 3PH Middx England MTA SZTAKI Budapest Hungary

there are many scientific and commercial applications that require the execution of a large number of independent jobs resulting in significant overall execution time. therefore, such applications typically require distributed computing infrastructures and science gateways to run efficiently and to be easily accessible for end-users. Optimising the execution of such applications in a cloud computing environment by keeping resource utilisation at minimum but still completing the experiment by a set deadline has paramount importance. As container-based technologies are becoming more widespread, support for job-queuing and auto-scaling in such environments is becoming important. Current container management technologies, such as Docker Swarm or Kubernetes, while provide auto-scaling based on resource consumption, do not support job queuing and deadline-based execution policies directly. this paper presents JQueuer, a cloud-agnostic queuing system that supports the scheduling of a large number of jobs in containerised cloud environments. the paper also demonstrates how JQueuer, when integrated with a cloud application-level orchestrator and auto-scaling framework, called MiCADO, can be used to implement deadline-based execution policies. this novel technical solution provides an important step towards the cost-optimisation of batch processing and job submission applications. In order to test and prove the effectiveness of the solution, the paper presents experimental results when executing an agent-based simulation application using the open source REPAST simulation framework. (C) 2019 the Authors. Published by Elsevier B.V.

关键词： Cloud computing Container technologies Deadline-based auto-scaling JQueuer MiCADO Agent-based simulation

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TASKWORK: A Cloud-aware Runtime System for Elastic Task-parallel HPC applications 9

TASKWORK: A Cloud-aware Runtime System for Elastic Task-para...

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9th international conference on Cloud computing and Services Science (CLOSER)

作者： Kehrer, Stefan Blochinger, Wolfgang Reutlingen Univ Parallel & Distributed Comp Grp Reutlingen Germany

ISBN: (纸本)9789897583650

With the capability of employing virtually unlimited compute resources, the cloud evolved into an attractive execution environment for applications from the High Performance computing (HPC) domain. By means of elastic scaling, compute resources can be provisioned and decommissioned at runtime. this gives rise to a new concept in HPC: Elasticity of parallel computations. However, it is still an open research question to which extent HPC applications can benefit from elastic scaling and how to leverage elasticity of parallel computations. In this paper, we discuss how to address these challenges for HPC applications with dynamic task parallelism and present TASKWORK, a cloud-aware runtime system based on our findings. TASKWORK enables the implementation of elastic HPC applications by means of higher-level development frameworks and solves corresponding coordination problems based on Apache ZooKeeper. For evaluation purposes, we discuss a development framework for parallel branch-and-bound based on TASKWORK, show how to implement an elastic HPC application, and report on measurements with respect to parallel efficiency and elastic scaling.

关键词： Cloud computing High Performance computing Task parallelism Elasticity of parallel Computations

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