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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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Establishing the state of the art knowledge domain of cloud computing 2nd

Establishing the state of the art knowledge domain of cloud ...

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2nd international conference on Communication and Computer engineering, ICOCOE 2015

作者： Khalid, Madiha Yousaf, Muhammad Murtaza Iftikhar, Yousra Fatima, Noreen Punjab University College of Information Technology University of the Punjab Lahore Pakistan Oxford University Press Oxford United Kingdom i2c Inc Lahore Pakistan

ISBN: (纸本)9783319245829

cloud is an inflection point for customers to transit the burden of infrastructure and platform management to a service provider. There is virtual centralization in cloud computing. This paper provides the state of the art knowledge domain of cloud to developers and researchers. It gives a brief overview of cloud computing and how it relates with grid, cluster, distributed, parallel and GPU computing. We have surveyed different cloud deployment models and essential characteristics of cloud that are required to build cloud architecture. A state of the art study is presented that explores several cloud architectures including discussion of applications, platforms and shared infrastructure of cloud that unveils the sharing mechanism of physical services, networking capabilities and storage. Furthermore, this study covers the primary business service models for instance Infrastructure as a Service (IaaS), Platform as a service (PaaS) and software as a service (SaaS) with vendors of each layer. On the other hand some issues of clouds are also highlighted such as availability of cloud and challenges which include issues regarding security, lack of standards, privacy and location concerns. We analyze several cloud architectures on multiple performance measuring parameters such as scalability, security, cost, performance, reliability, maintenance, and mobile accessibility. © Springer international Publishing Switzerland 2016.

关键词： cloud computing architecture

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Large-scale Reservoir Simulations on parallel Computers 2

Large-scale Reservoir Simulations on Parallel Computers

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2nd IEEE international conference on High Performance and Smart computing (IEEE HPSC)

作者： Chen, Yan Liu, Hui Wang, Kun Chen, Zhangxin He, Yanfeng Yang, Bo Zhang, Peng Univ Calgary Dept Chem & Petr Engn Calgary AB T2N 1N4 Canada SUNY Stony Brook Coll Engn & Appl Sci Stony Brook NY 11794 USA South China Agr Univ Coll Math & Informat Guangzhou 510642 Guangdong Peoples R China

ISBN: (纸本)9781509024032

This paper presents our work on simulation of large-scale black oil models on parallel computers. An in-house platform has been developed and a black oil simulator has been implemented based on this platform, which can handle the standard black oil model and oil-water model. Numerical methods and a new parallel preconditioner are introduced. The simulator uses MPI for communication among computation nodes and it is capable of simulating black oil models with hundreds of millions of grid cells. Numerical simulations show that our simulator has excellent scalability and it can speed simulations thousands of times faster.

关键词： Simulators

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A Relative Study of Task Scheduling Algorithms in cloud computing Environment 2

A Relative Study of Task Scheduling Algorithms in Cloud Comp...

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2nd IEEE international conference on Contemporary computing and Informatics (IC3I)

作者： Ali, Syed Arshad Alam, Mansaf Jamia Millia Islamia Dept Comp Sci New Delhi India

ISBN: (纸本)9781509052561

cloud computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, selfservice provisioning, elasticity and pay per use are the key features of cloud computing. It provides different types of resources over the Internet to perform user submitted tasks. In cloud environment, huge number of tasks are executed simultaneously, an effective Task Scheduling is required to gain better performance of the cloud system. Various cloud-based Task Scheduling algorithms are available that schedule the user's task to resources for execution. Due to the novelty of cloud computing, traditional scheduling algorithms cannot satisfy the cloud's needs, the researchers are trying to modify traditional algorithms that can fulfil the cloud requirements like rapid elasticity, resource pooling and on-demand self-service. In this paper the current state of Task Scheduling algorithms has been discussed and compared on the basis of various scheduling parameters like execution time, throughput, makespan, resource utilization, quality of service, energy consumption, response time and cost.

关键词： cloud computing Task Scheduling Multi-Objective Fault tolerance Energy-efficient Load balancing

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Ensuring an online Chat Mechanism with accountability to sharing the non-downloadable file from the cloud 2

Ensuring an online Chat Mechanism with accountability to sha...

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2nd international conference on Applied and Theoretical computing and Communication Technology, iCATccT 2016

作者： Keerthan Kumar, T.G. Virupakshaiah, H.K. Nanda, K.V. Department of Information Science and Engineering Siddaganga Institute of Technology Tumkur Karnataka572103 India Siddaganga Institute of Technology Tumkur Karnataka572103 India

ISBN: (纸本)9781509023981

cloud computing aims at allowing access to large amount of computing power in a fully virtualized manner, by aggregating resources and offering a single system view. More and more businesses and individuals are attracted by the benefits of the cloud and are shifting their data and computation work to be carried out in the cloud. But since the processing of users data is done by remote computing resources and data is placed in remote storage systems, users of cloud computing has fear about the security of their data. These computation and storage are distributed in nature. To address this issue we are utilizing a framework called cloud Information Accountability. This framework uses programmable capability of the jar file. In this framework a user data is embedded within ajar file along with the function which provides accountability for that data by automatically creating log records upon the access to the data. This feature is called 'strong binding' which means both data and policies travel with the data thus providing distributed accountability which is very essential because of distributed nature of the cloud. Hence this framework provides end to end accountability for user's data at both CSP and cloud users by providing the log records for their data and also providing the online Chat mechanism which enables the CSP and cloud users can communicate themselves to share file which is unable to download form the cloud. © 2016 IEEE.

关键词： Social networking (online)

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Analytical Study of Job Scheduling using Variants of Ant Colony Optimization Technique in grid 2

Analytical Study of Job Scheduling using Variants of Ant Col...

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2nd IEEE international conference on engineering and Technology (ICETECH)

作者： Oshin Chhabra, Amit Guru Nanak Dev Univ Dept Comp Engn & Technol Amritsar Punjab India

ISBN: (纸本)9781467399166

As communication was the major perspective of traditional networks, grid computing focuses on figuring the problems by using unprocessed CPU cycles that cannot be resolved by stand-alone computers. grid being an earthly distributed network of computers provides a clear, coordinated, consistent and reliable computing medium to various applications. Owing to the heterogeneity of resources in a grid environment, job scheduling is problematic and therefore, needs competent schedulers. The paper provides a comparative analysis of various Ant colony optimization variants based on their effectiveness in determining optimal or near optimal solutions. The conclusion drawn from the survey explores ACO's effectiveness in solving the various scheduling problems. However, uncertainty in convergence time and early Designation of the initial and the extreme point hinders optimal scheduling. With the support of literature survey, not only assured guidelines are extracted for ACO algorithm but also, promising directions are provided for future work.

关键词： grid computing JOB SCHEDULING ACO

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A programming framework for large scale numerical simulations on unstructured mesh 2

A programming framework for large scale numerical simulation...

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2nd IEEE international conference on High Performance and Smart computing (IEEE HPSC)

作者： Liu, QingKai Zhao, WeiBo Cheng, Jie Mo, ZeYao Zhang, AiQing Liu, JianJun Inst Appl Phys & Computat Math CAEP Software Ctr High Performance Numer Simulat Beijing Peoples R China

ISBN: (纸本)9781509024032

The performance of parallel computers grows rapidly. However, application software is lagging behind due to two bottlenecks: "performance wall" and "programmability wall". These bottlenecks have prevented a lot of application software from achieving good performance and fast development. Programming framework is considered an effective approach to overcome the above bottlenecks. In this paper, we give a prototype of JAUMIN, which is a programming framework for large scale application software based on unstructured mesh. Some important technologies of JAUMIN will be presented, including distributed data structures, data communication patterns and application programming interfaces. Finally, some applications based on JAUMIN will be demonstrated to show that JAUMIN can accelerate the development of application software greatly and support effective simulation on petascale supercomputer.

关键词： numerical simulation parallel computing JAUMIN programming framework unstructured mesh

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Towards Data-driven Software-Defined Infrastructures 2nd

Towards Data-driven Software-Defined Infrastructures

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2nd international conference on cloud Forward - From distributed to Complete computing

作者： Garcia Lopez, Pedro Gracia Tinedo, Raul Montresor, Alberto Univ Rovira & Virgili Dept Engn Informat & Matemat Tarragona Spain Univ Trento Dipartimento Ingn & Sci Informaz Trento Italy

The abundance of computing technologies and devices imply that we will live in a data-driven society in the next years. But this data-driven society requires radically new technologies in the data center to deal with data manipulation, transformation, access control, sharing and placement, among others. We advocate in this paper for a new generation of Software Defined Data Management Infrastructures covering the entire life-cycle of data. On the one hand, this will require new extensible programming abstractions and services for data-management in the data center. On the other hand, this also implies opening up the control plane to data owners outside the data center to manage the data life cycle. We present in this article the open challenges existing in data-driven software defined infrastructures and a use case based on Software Defined Protection of data. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： Data-driven services software-defined protection Software-Defined Storage Data engineering Middleware

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A Cost-effective parallel Algorithm of Distribution Network Reconfiguration on Hadoop Cluster

A Cost-effective Parallel Algorithm of Distribution Network ...

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2017 2nd international conference on Materials Science,Machinery and Energy engineering(MSMEE 2017)

作者： Wanxing Sheng Keyan Liu Shupeng Zhou Song Jin Wei Tang China Electric Power Research Institute Department of Electronic and Communication Engineering North China Electric Power University College of Information and Electrical Engineering China Agricultural University

Rapid construction of electric power systems leads to a large increase in quantities of network nodes and data, complicating network reconstruction issue significantly. However, the traditional serial algorithms can not reach a satisfactory computation speed;while some proposed parallel algorithms prior are only applicable to specialized cluster. In this paper, we propose a parallel algorithm of distribution network reconstruction conducted on cost-effective Hadoop cluster. Our algorithm complies with Map-Reduce distributed computing framework. It can process the data of each network node in parallel, thus accelerating power flow calculation. Moreover, our algorithm combines depth-first and breath-first principles together in branch traversals, which substantially improves the probability in finding the optimal solution. Feasibility and effectiveness of the proposed algorithm are verified on a Hadoop cluster.

关键词： Distribution network Map-reduce parallelization Power flow calculation Reconfiguration

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2016 2nd international conference on Open Source Software computing, OSSCOM 2016

2016 2nd International Conference on Open Source Software Co...

引用

2nd international conference on Open Source Software computing, OSSCOM 2016

ISBN: (纸本)9781509045808

The proceedings contain 10 papers. The topics discussed include: the role of open source software in program analysis for reverse engineering;the malware detection challenge of accuracy;3d gesture-based control system using processing open source software;automated analysis of flow cytometry data: a systematic review of recent methods;toward extending apache thrift open source to alleviate SOAP service consumption;test suite effectiveness: an indicator for open source software quality;innovative methodology for elevating big data analysis and security;a new data-intensive task scheduling in OptorSim, an open source grid simulator;monitoring 'grid-cloud' model using complex event processing (CEP);and on tackling social engineering web phishing attacks utilizing software defined networks (SDN) approach.

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Research of student prospects on developing international PhD programs in software engineering 2

Research of student prospects on developing international Ph...

引用

2nd Ural Workshop on parallel, distributed, and cloud computing for Young Scientists, Ural-PDC 2016

作者： Gadasina, Lyudmila Voitenko, Sergey Yurkov, Alexandr Saint Petersburg State University Saint Petersburg Russia

The main intent of the research is to learn more about the ways in which PhD doctorants in the Software engineering field can pre pare themselves for careers in modern exacting and fast changing job market. Results of first diagnostic stage of the study are presented based on materials of a simple quantitative survey of a group of PhD-students, a signifficant part of which is developing in the field of parallel, distributed and cloud computing. This group is currently enrolled in the international program at the Erasmus+ project of eleven universities from five European countries, Russia and Jordan. Processing and statistical analysis results of the survey allowed to fidentify groups of the most signifficant professional skills for future work, to find out the PhD-students level of knowledge and mastering these skills and to evaluate the students intention to obtain them. Conclusions and recommendations presented on the base of comparison the list of skills ranked by PhD students with a list of skills required by employers in the areas close to the Software engineering.

关键词： Students

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