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STUDY ON FUNDAMENTAL USAGE OF CLOUDSIM SIMULATOR AND ALGORIthMS OF RESOURCE ALLOCATION IN CLOUD computing 8

STUDY ON FUNDAMENTAL USAGE OF CLOUDSIM SIMULATOR AND ALGORIT...

引用

8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Rani, Ekta Kaur, Harpreet Punjabi Univ Dept Comp Engn Patiala Punjab India

ISBN: (纸本)9781509030385

Cloud computing is an internet-based pool of heterogeneous resources. the development of Cloud is scalable and reliable to make availability of resources when required to online users. Resources are provided as a service on demand with payment done on use basis. Nowadays, for less cost and maximize resource utilization, mainly computing is done on Cloud. Cloud simulator is a collection of java classes that provides simulation of concepts of cloud computing. Cloudlet scheduling is one of the most important task in cloud computing. this paper presents fundamental study on the functions of CloudSim simulator and provides tabulated view of various scheduling algorithms used in cloud environment with their parameters and results.

关键词： Cloud computing CloudSim Scheduling Algorithms Load Balancing

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Enhancing the Performance of Elliptic Curve Digital Signature Algorithm (ECDSA) in Named Data networking (NDN)

Enhancing the Performance of Elliptic Curve Digital Signatur...

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IEEE international conference on Control System, computing and Engineering (ICCSCE)

作者： Lee Ren Ting Yu-Beng Leau Yong Jin Park Joe H. Obit Fac. of Comput. & Inf. Universiti Malaysia Sabah (UMS) Kota Kinabalu Sabah MY Faculty of Computing & Informatics Universiti Malaysia Sabah (UMS) Kota Kinabalu Sabah Malaysia

Named data networking (NDN) had been considered as a most recognizable Information Centric networking (ICN) infrastructure. the deployment of NDN in the internet architecture requires the confidentiality and integrity of the contents. In this context, Elliptic Curve Digital Signature Algorithm (ECDSA) is a more promising algorithm. this research applied Montgomery Reduction on the existing asymmetrical security algorithm to shorter the processing period, lower the memory consumption and reduce the complexity over large computational requests. An experiment had been implemented in NDNv2 over ndnSIM environment. the results showed that modified ECDSA has reduced the processing period of 1% - 3% in private key generation and 50% in public key signing based on exponential analysis on modified ECDSA over existing ECDSA in key generation. the total time required to establish the connection among the nodes in NDN also has reduced of 12% by using modified ECDSA over ndnSIM.

关键词： Digital signatures Memory management Complexity theory Elliptic curves

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A distributed data warehouse system for astroparticle physics 8

A distributed data warehouse system for astroparticle physic...

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Nguyen, Minh-Duc Kryukov, Alexander Dubenskaya, Julia Korosteleva, Elena Polyakov, Stanislav Postnikov, Evgeny Bychkov, Igor Mikhailov, Andrey Shigarov, Alexey Fedorov, Oleg Kazarina, Yulia Shipilov, Dmitry Zhurov, Dmitry Lomonosov Moscow State University Skobeltsyn Institute of Nuclear Physics Moscow Russia Matrosov Institute for System Dynamics and Control Theory Siberian Branch of Russian Academy of Sciences Irkutsk Russia Applied Physics Institute Irkutsk State University Irkutsk Russia

A distributed data warehouse system is one of the actual issues in the field of astroparticle physics. Famous experiments, such as TAIGA, KASCADE-Grande, produce tens of terabytes of data measured by their instruments. It is critical to have a smart data warehouse system on-site to store the collected data for further distribution effectively. It is also vital to provide scientists with a handy and user-friendly interface to access the collected data with proper permissions not only on-site but also online. the latter case is handy when scientists need to combine data from different experiments for analysis. In this work, we describe an approach to implementing a distributed data warehouse system that allows scientists to acquire just the necessary data from different experiments via the Internet on demand. the implementation is based on CemVM-FS with additional components developed by us to search through the whole available data sets and deliver their subsets to users' computers. © 2018 Minh-Duc Nguyen, Alexander Kryukov, Julia Dubenskaya, Elena Korosteleva, Stanislav Polyakov, Evgeny Postnikov, Igor Bychkov, Andrey Mikhailov, Alexey Shigarov, Oleg Fedorov, Yulia Kazarina, Dmitry Shipilov, Dmitry Zhurov.

关键词： Data warehouses

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the designing of cloud infrastructure consisting of geographically distributed data centers 8

The designing of cloud infrastructure consisting of geograph...

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Fedchenkov, P.V. Khoruzhnikov, S.E. Samokhin, N.Y. Shevel, A.Y. Department of Network and Cloud Technologies ITMO University St.-Petersburg197101 Russia National Research Centre Kurchatov Institute Petersburg Nuclear Physics Institute Gatchina188300 Russia

Contemporary tendency of use the cloud architectures is quite common. Many tests show that the price for using a commercial cloud is feasible for most of applications including High Energy Physics. At the same time, many users are still using the large data centers (DC). the using just one data center (DC) is not completely sufficient in several aspects. First is lack of isolation, and second is lack of elasticity. Lack of isolation means situation when many users share one DC and violate SLA of each other from time to time. Lack of elasticity means situation when many users while sharing one DC cannot change SLA at required level. In context of service availability, one DC for many users is also not perfect solution as technical, nature, and social incidents might affect the DC. As a result, cloud solution based on geographically distributed DCs looks preferable. the running project addressed to implementation of such the cloud is described in the paper. © 2018 Petr V. Fedchenkov, Sergey E. Khoruzhnikov, Nikita Y. Samokhin, Andrey Y. Shevel.

关键词： Linux

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MegaPath: Low-Similarity Pathogen Detection from Metagenomic NGS Data (Extended Abstract)

MegaPath: Low-Similarity Pathogen Detection from Metagenomic...

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IEEE international conference on Computational Advances in Bio and Medical Sciences (ICCABS)

作者： Dinghua Li Chi-Ming Leung Chi-Kwong Wong Yifan Zhang Wai-Chun Law Yan Xin Ruibang Luo Hing-Fung Ting Tak-Wah Lam Department of Computer Science The University of Hong Kong Hong Kong L3 Bioinformatics Hong Kong

the following topics are dealt with: bioinformatics; genomics; molecular biophysics; cellular biophysics; genetics; RNA; biology computing; diseases; proteins; learning (artificial intelligence).

ISBN: (纸本)9781538685211

the following topics are dealt with: bioinformatics; genomics; molecular biophysics; cellular biophysics; genetics; RNA; biology computing; diseases; proteins; learning (artificial intelligence).

关键词： Pathogens Bioinformatics Next generation networking Sequential analysis Genomics

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Approaches to the automated deployment of the cloud infrastructure of geographically distributed data centers 8

Approaches to the automated deployment of the cloud infrastr...

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Fedchenkov, P.V. Samokhin, N.Y. Khoruzhnikov, S.E. Lazo, O.I. Shevel, A.Y. Department of Network and Cloud Technologies ITMO University St.-Petersburg197101 Russia National Research Centre Kurchatov Institute Petersburg Nuclear Physics Institute Gatchina188300 Russia

University ITMO (***) is developing the cloud of geographically distributed data centers under OpenStack. the article describes the deployment cycle for the developed multi-agent system on physical and virtual machines using the developed software product repository. the cloud system of distributed data centers assumes the existence of a number of subsystems such as independent agents. An agent is aimed at implementing the creation, management and provision of certain services with a defined SLA At the same time, it is necessary to perform both the initial deployment of the system and to provide the means that perform the automated modification of the hardware or software infrastructure, that is, the complete agent life cycle. the approaches suggested in the article allow us to use the minimum number of pre-installed components for the purpose of deploying and managing an array of physical and virtual entities of data centers, including deployment and configuring using Salt and monitoring the infrastructure using Zabbix. © 2018 Petr V. Fedchenkov, Nikita Y. Samokhin, Sergey E. Khoruzhnikov, Oleg I. Lazo, Andrey Y. Shevel.

关键词： Multi agent systems

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Classification Of Ovarian Cyst Using Soft computing technique 8

Classification Of Ovarian Cyst Using Soft computing techniqu...

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8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Parekh, Aarti M. Shah, Nidhi B. Sardar Vallabhbhai Patel Inst Technol Dept Comp Engn Vasad Gujarat India

ISBN: (纸本)9781509030385

Identification of ovarian status and follicle monitoring becomes the most important part in the evaluation of an infertile woman. Ultrasound or sonography has helped in diagnosis and treatment of infertile patients. Ultrasound imaging of the follicles in the ovary gives very important information about the ovary such as type of cyst, number of follicles and size of follicles response to hormonal imbalance. Image Segmentation gives more information in the region of interest in an image and clearly differentiate the object and the background from the image. But it is very hard to perform segmentation on ultrasound images due to presence of noise so by using image preprocessing with morphological operations, detection of follicles becomes easy and effective. Classification of Ovarian cyst is done using fuzzy logic.

关键词： ovary follicle segmentation classification

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Molecular dynamic simulation of water vapor interaction with various types of pores using hybrid computing structures 8

Molecular dynamic simulation of water vapor interaction with...

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Korenkov, V.V. Nikonov, E.G. Popovičová, M. Joint Institute for Nuclear Research Dubna Moscow Region141980 Russia University of Prešov Prešov080 01 Slovakia

theoretical and experimental investigations of water vapor interaction with porous materials are very needful for various fields of science and technology. Mathematical modelling plays an important role in these investigations. Conventional approaches to solve problems of mathematical research of the processes of interaction of water vapor with individual pore are the so called micro and macro approaches. the first approach is based on the use of diffusion equation for description of interaction of water vapor with a pore. the second approach is based on various particle methods like Monte-Carlo simulations, molecular dynamics (MD) etc. In MD usage of efficient calculation methods is necessary because the degree of approximation for simulating system is largely determined by the dimensionality of the system of equations being solved at every time step. Number of time steps is also quite large. In this work, a study of efficiency of various implementations algorithms for MD simulation of water vapor interaction with individual pore is carried out. It is also investigated dependence of time required for simulations on different parameters, like number of particles in the system, shape of pores, and so on. the results of parallel calculations are compared with the results obtained by serial calculations. © 2018 Vladimir V. Korenkov, Eduard. G. Nikonov, Maria. Popovičová.

关键词： Porous materials

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Deep Random Walk for Drusen Segmentation from Fundus Images 21st

Deep Random Walk for Drusen Segmentation from Fundus Images

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21st international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI) / 8th Eurographics Workshop on Visual computing for Biology and Medicine (VCBM) / international Workshop on Computational Diffusion MRI (CDMRI)

作者： Yan, Fang Cui, Jia Wang, Yu Liu, Hong Liu, Hui Wei, Benzheng Yin, Yilong Zheng, Yuanjie Shandong Normal Univ Sch Informat Sci & Engn Jinan Shandong Peoples R China Shandong Prov Key Lab Distributed Comp Software N Jinan Shandong Peoples R China Dalian Univ Technol Dept Biomed Engineer Dalian Peoples R China Shandong Univ Tradit Chinese Med Coll Sci & Technol Jinan Shandong Peoples R China Shandong Univ Sch Comp Sci & Technol Jinan Shandong Peoples R China Shandong Normal Univ Inst Biomed Sci Jinan Shandong Peoples R China Key Lab Intelligent Comp & Informat Secur Univ Sh Jinan Shandong Peoples R China

ISBN: (纸本)9783030009342;9783030009335

this paper presents a deep random walk technique for drusen segmentation from fundus images. It is formulated as a deep learning architecture which learns deep representations from fundus images and specify an optimal pixel-pixel affinity. Specifically, the proposed architecture is mainly composed of three parts: a deep feature extraction module to learn both semantic-level and low-level representation of image, an affinity learning module to get pixel-pixel affinities for formulating the transition matrix of random walk and a random walk module which propagates manual labels. the power of our technique comes from the fact that the learning procedures for deep image representations and pixel-pixel affinities are driven by the random walk process. the accuracy of our proposed algorithm surpasses state-of-the-art drusen segmentation techniques as validated on the public STARE and DRIVE databases.

关键词： Drusen segmentation Retinal fundus images Deep feature extraction Affinity learning Random walk

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SECURITY-BASED SERVICE BROKER POLICY FOR FOG computing ENVIRONMENT 8

SECURITY-BASED SERVICE BROKER POLICY FOR FOG COMPUTING ENVIR...

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8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Arya, Deeksha Dave, Mayank NIT Kurukshetra Dept Comp Engn Kurukshetra Haryana India

ISBN: (纸本)9781509030385

With the evolution of computing from using personal computers to use of online Internet of things (IoT) services and applications, security risks have also evolved as a major concern. the use of Fog computing enhances reliability and availability of the online services due to enhanced heterogeneity and increased number of computing servers. However, security remains an open challenge. Various trust models have been proposed to measure the security strength of available service providers. We utilize the quantized security of Datacenters and propose a new security-based service broker policy(SbSBP) for Fog computing environment to allocate the optimal Datacenter(s) to serve users' requests based on users' requirements of cost, time and security. Further, considering the dynamic nature of Fog computing, the concept of dynamic reconfiguration has been added. Comparative analysis of simulation results shows the effectiveness of proposed policy to incorporate users' requirements in the decision-making process.

关键词： Cloud computing Fog computing Load balancing Security Service Broker

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