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检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

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Improving the response time in smart grid using fog computing 2nd

Improving the response time in smart grid using fog computin...

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2nd international conference on Data engineering and Communication Technology, ICDECT 2017

作者： Kumar, Shubham Agarwal, Suyash Krishnamoorthy, A. Vijayarajan, V. Kannadasan, R. School of Computer Science and Engineering Vellore Institute of Technology VelloreTamil Nadu632014 India

ISBN: (纸本)9789811316098

The conventional grid system the world has been using ever since its advent in 1890s, but this aging infrastructure of demand driven control structure, has made in way for more robust, fast, inter-connected and a smarter system with a cutting-edge technology called the Smart grid. Smart grid uses a bidirectional communication model between the consumer and the utility service. The sensing along the communication line is what makes the grid system smart. Linking the smart grid with fog and cloud not only makes the process extra firm but also more secure and reliable. This paper presents a mechanism to reduce the response time in the smart grid architecture so as the system is more responsive. We have introduced a system which reduces the response time in grid system using fog computing. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Smart power grids

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Task Scheduling for cloud computing Based on Firefly Algorithm 2

Task Scheduling for cloud computing Based on Firefly Algorit...

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2nd international Scientific conference, ISC 2019

作者： Saleh, Ibrahim Ahmed Alsaif, Omar Ibrahim Muhamed, Sundus Abduttalib Essa, Essa Ibrahim Software Engineering Department Computers and Math. College University of Mosul Iraq Computers Systems Mosul Technique Institute Northern Technical University Iraq

In this paper a new method proposed, to solve the problem of scheduling resources in cloud computing, it is using a parallel scheduling model which can enhance parallel tasks scheduling while the relationship among serial tasks stay constant. The important feature of dynamic tasks is provided by users to sub-tasks in serial sequences and arranged as scheduling queue, these tasks have different and equal priorities according to running order. In this paper firefly algorithm (FA) have been introduced for scheduling the subtasks in cloud computer to prove a progress in short delay time. The most important features that can be considered are fairness and efficiency characteristics. Delay time Shortest and Fairness firefly algorithm (DSFFA) applied to solve task scheduling problem that realized the shortest delay time, which improving the user satisfaction. Experimental results show that DSFFA algorithm is better than the task scheduling -Firefly algorithm (TS-FA) algorithm in fairness, efficiency and task delay time, therefor it can be realized for the optimal scheduling in cloud computing. © 2019 Published under licence by IOP Publishing Ltd.

关键词： cloud computing

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2nd international conference on Future Data and Security engineering, FDSE 2015 and 9th international conference on Advanced computing and Applications ACOMP 2015

2nd International Conference on Future Data and Security Eng...

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2nd international conference on Future Data and Security engineering, FDSE 2015 and 9th international conference on Advanced computing and Applications ACOMP 2015

ISBN: (纸本)9783662541722

The proceedings contain 6 papers. The special focus in this conference is on Future Data and Security engineering. The topics include: User-centered design of geographic interactive applications;applying data analytic techniques for fault detection;protecting biometrics using fuzzy extractor and non-invertible transformation methods in Kerberos authentication protocol;parallel learning of local SVM algorithms for classifying large datasets;contractual specifications of business services;modeling, formalization, proximity and energy-saving virtual machine scheduling in cloud computing with fixed interval constraints.

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2nd EAI international conference on Smart grid and Internet of Things, SGIoT 2018

2nd EAI International Conference on Smart Grid and Internet ...

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2nd EAI international conference on Smart grid and Internet of Things, SGIoT 2018

ISBN: (纸本)9783030059279

The proceedings contain 14 papers. The special focus in this conference is on Smart grid and Internet of Things. The topics include: Effectiveness of Hard Clustering Algorithms for Securing Cyber Space;on Data Driven Organizations and the Necessity of Interpretable Models;a Multi-factor Authentication Method for Security of Online Examinations;evaluation Metrics for Big Data Project Management;ioT Big Data Analytics with Fog computing for Household Energy Management in Smart grids;Secured Cancer Care and cloud Services in IoT/WSN Based Medical Systems;privacy Preserving for Location-Based IoT Services;Smart Home Security Application Enabled by IoT:: Using Arduino, Raspberry Pi, NodeJS, and MongoDB;An MQTT-Based Scalable Architecture for Remote Monitoring and Control of Large-Scale Solar Photovoltaic Systems;A Smart Meter Firmware Update Strategy Through Network Coding for AMI Network;protected Bidding Against Compromised Information Injection in IoT-Based Smart grid;A Chain Based Signature Scheme for Uplink and Downlink Communications in AMI Networks.

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Cost efficient Mini hydro plant with low water head whirlpool design methodology for rural areas : ((Micro Hydro Whirlpool power plant) 2

Cost efficient Mini hydro plant with low water head whirlpoo...

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2nd international conference on computing, Mathematics and engineering Technologies, iCoMET 2019

作者： Zeb, Saran Ali, nd Mazhar Mujeeb, Asad Ullah, Hameed North China Electric Power University Beijing China

ISBN: (纸本)9781538695098

this paper proposes current development in mini hydro power production and its contribution to the near future distributed generation. However there are some problems which come in contact while implementing the power generation unit. Some of these problems faced are high water head, large flow of water, high cost of civil works, large covered area and its operation and maintenance. To overcome the above mentioned problem we proposed the simple whirlpool turbine with minimum water head, water flow, covered area, portable design of basin with PVC and its robustness and flexibility for the stand alone and grid connected system. We represented a generation system with the whirlpool motion of water inside the basin which moves the turbine 24/7. A doubly fed induction generator (DFIG) is used in simulation for synchronization with the Point of connection to the grid, and its mathematical analysis and MATLAB simulation. © 2019 IEEE.

关键词： Flow of water

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Optimization of communication network efficiency based on cloud computing 2

Optimization of communication network efficiency based on cl...

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2nd international conference on Robotics, Control and Automation engineering, RCAE 2019 and 2nd international conference on Advanced Mechanical and Electrical engineering, AMEE 2019

作者： Jin, Jin Luo, Jingtao Zhang, Guoquan College of Electrical Engineering Northwest Minzu University Lanzhou Gansu730000 China Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou Gansu730000 China College of Mathematics and Computer Science Northwest Minzu University Lanzhou Gansu730000 China

ISBN: (纸本)9781450376228

With the continuous development of communication Internet technology, the amount of data has increased dramatically. Massive data has placed extremely high demands on storage. Moreover, servers in the cloud data center have disk failures and rack failures, and there are often data loss events. occur. In order to prevent accidental data loss, improve data access efficiency, and ensure high-quality service supply, multiple copies of the original data are deployed in different nodes in the system and distributed in different servers. In this paper, the simulated annealing algorithm is introduced. By comparing the frequency of copy use, the copy position is migrated and moved to a node relatively close to the user to improve the communication efficiency of the high frequency copy. Finally, through the simulation of cloudSim, the feasibility of the algorithm in replica communication is verified. © 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Simulated annealing

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Voltage Profile Enhancement Using Capacitor-less D-STATCOM to Increase PV Integration in Distribution Network Under Transient cloud Conditions

Voltage Profile Enhancement Using Capacitor-less D-STATCOM t...

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Photovoltaic Science and Technologies (PVCon)

作者： Wesam Rohouma Robert S. Balog Aaqib A. Peerzada Miroslav M. Begovic School of Engineering Technology and Industrial Trades College of North Atlantic Qatar Doha Qatar Renewable Energy and Advanced Power Electronics Research Lab (REAPER Lab) Texas A&M University at Qatar Doha Qatar Texas A&M University College Station TX USA

Over the past decade, the emergence of distributed Energy Resources (DERs) has significantly disrupted the traditional approach of having centralized plants that distribute electricity through an extensive transmission and distribution network. Given the proliferation of DERs in recent years, more importantly, the rise of grid-connected distributed photovoltaic (PV) systems and the implementation of the smart-grid concept, the electric utility industry of today is in the midst of an aggressive expansion and an unprecedented evolution. The stochastic nature of PV output has created new challenges in electric distribution systems' operation and maintenance. Of particular significance is the direct correlation between the PV power output and rapid voltage fluctuations. Reactive power compensation can be used to regulate the voltage profile on the network within the allowable limits set by the relevant standards. A capacitor-less distribution static synchronous compensator (D-STATCOM), based on a matrix converter (MC), is proposed to be used in low-voltage distribution networks. This technology is controlled using finite-set model predictive control (MPC); the compensator device can operate in various modes and can be deployed as needed in the low-voltage distribution network. Simulation results is presented to show the proposed technology's effectiveness in improving voltage profile in low-voltage distribution networks under transient cloud conditions.

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Performance Analytical Comparison of Blockchain-as-a-Service (BaaS) Platforms 2nd

Performance Analytical Comparison of Blockchain-as-a-Service...

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2nd international conference on Emerging Technologies in computing, iCETiC 2019

作者： Onik, Md Mehedi Hassan Miraz, Mahdi H. Department of Computer Engineering Inje University Gimhae 50834 Korea Republic of Sha Tin Hong Kong Wrexham Glyndŵr University Wrexham United Kingdom

ISBN: (纸本)9783030239428

Both blockchain technologies and cloud computing are contemporary emerging technologies. While the application of Blockchain technologies is being spread beyond cryptocurrency, cloud computing is also seeing a paradigm shift to meet the needs of the 4th industrial revolution (Industry 4.0). New technological advancement, especially by the fusion of these two, such as Blockchain-as-a-Service (BaaS), is considered to be able to significantly generate values to the enterprises. This article surveys the current status of BaaS in terms of technological development, applications, market potentials and so forth. An evaluative judgement, comparing amongst various BaaS platforms, has been presented, along with the trajectory of adoption, challenges and risk factors. Finally, the study suggests standardisation of available BaaS platforms. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： distributed ledger

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Towards a maturity model for cloud service customizing 2nd

Towards a maturity model for cloud service customizing

引用

2nd international conference on Applied Informatics, ICAI 2019

作者： Avila, Oscar Paez, Cristian Correal, Dario Department of Systems and Computing Engineering School of Engineering Universidad de los Andes Bogotá Colombia

ISBN: (纸本)9783030324742

In last years, more and more cloud providers are making great efforts to offer personalized services that fully match customers’ needs. However, it is not always easy because of the maturity level that requires their customization capabilities in order to design, implement, operate and improve personalized services. Furthermore, there is a lack of tools to help cloud providers to understand what is the current maturity level of their customization processes and the path to improve them. In this context, this work presents our progress for building a maturity model for the customization of cloud services. The model is proposed from a literature review in the area and two interviews to industry experts. The model, that includes two dimensions (customization capabilities and maturity levels) aims at helping researchers to develop new contributions in this research area and practitioners to develop their customization capabilities. © Springer Nature Switzerland AG 2019.

关键词： distributed database systems

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Providing RS Participation for Geo-distributed Data Centers Using Deep Learning-Based Power Prediction 2nd

Providing RS Participation for Geo-Distributed Data Centers ...

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2nd international Congress on High-Performance computing and Big Data Analysis, TopHPC 2019

作者： Taheri, Somayyeh Goudarzi, Maziar Yoshie, Osamu Department of Computer Engineering Sharif University of Technology Tehran Iran Graduate School of Information Production and System Waseda University Shinjuku Japan

ISBN: (纸本)9783030334949

Nowadays, geo-distributed Data Centers (DCs) are very common, because of providing more energy efficiency, higher system availability as well as flexibility. In a geo-distributed cloud, each local DC responds to the specific portion of the incoming load which distributed based on different Geographically Load Balancing (GLB) policies. As a large yet flexible power consumer, the local DC has a great impact on the local power grid. From this point of view, a local DC is a good candidate to participate in the emerging power market such as Regulation Service (RS) opportunity, that brings monetary benefits both for the DC as well as the grid. However, a fruitful collaboration requires the DC to have the capability of forecasting its future power consumption. While, given the different GLB policies, the amount of delivered load toward each local DC is a function of the whole system’s conditions, rather than the local situation. Thereby, the problem of RS participation for local DCs in a geo-distributed cloud is challenging. Motivated by this fact, this paper benefits from deep learning to predict the local DCs’ power consumption. We consider two main GLB policies, including Power-aware as well as Cost-aware, to acquire training data and construct a prediction model accordingly. Afterward, we leverage the prediction results to provide the opportunity of RS participation for geo-distributed DCs. Results show that the proposed approach reduces the energy cost by 22% on average in compared with well-known GLB policies. © 2019, Springer Nature Switzerland AG.

关键词： distributed cloud

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