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Performance and Cost Modeling Strategy for Cloud Infrastructure Planning

Performance and Cost Modeling Strategy for Cloud Infrastruct...

引用

ieee international conference on Cloud computing, CLOUD

作者： Erica Teixeira Gomes De Sousa Fernando Antonio Aires Lins Eduardo Antônio Guimarães Tavares Paulo Romero Martins Maciel Department of Statistical and Informatics Federal Rural University of Pernambuco Recife PE Brazil Center of Informatics Federal University of Pernambuco Recife PE Brazil

Cloud computing is a computational paradigm in which resources such as storage, applications and networking infrastructures can be offered as services over the internet. Due to dynamic and virtualized nature of cloud environments and diversity of client requests, providing the expected service quality while avoiding over-provisioning is not a simple task. To ensure that the provisioned service is acceptable, providers must exploit techniques and mechanisms that guarantee a minimum level of service quality. This performance evaluation of cloud infrastructures has been receiving considerable attention by providers as a prominent activity for improving service quality. This paper presents a modeling strategy for cloud infrastructure planning with different software and hardware configurations, according to performance and cost requirements. A case study based on Moodle hosted on Eucalyptus platform is adopted to demonstrate the feasibility of the proposed modeling strategy.

关键词： Cloud computing Computational modeling Mathematical model Hardware Measurement Analytical models

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Influence of Social and Technical Factors for Evaluating Contribution in GitHub 2014

Influence of Social and Technical Factors for Evaluating Con...

引用

36th international conference on Software Engineering (ICSE)

作者： Tsay, Jason Dabbish, Laura Herbsleb, James Carnegie Mellon Univ Sch Comp Sci 5000 Forbes Ave Pittsburgh PA 15213 USA Carnegie Mellon Univ Ctr Future Work Heinz Coll Pittsburgh PA 15213 USA

ISBN: (纸本)9781450327565

Open source software is commonly portrayed as a meritocracy, where decisions are based solely on their technical merit. However, literature on open source suggests a complex social structure underlying the meritocracy. Social work environments such as GitHub make the relationships between users and between users and work artifacts transparent. This transparency enables developers to better use information such as technical value and social connections when making work decisions. We present a study on open source software contribution in GitHub that focuses on the task of evaluating pull requests, which are one of the primary methods for contributing code in GitHub. We analyzed the association of various technical and social measures with the likelihood of contribution acceptance. We found that project managers made use of information signaling both good technical contribution practices for a pull request and the strength of the social connection between the submitter and project manager when evaluating pull requests. Pull requests with many comments were much less likely to be accepted, moderated by the submitter's prior interaction in the project. Well-established projects were more conservative in accepting pull requests. These findings provide evidence that developers use both technical and social information when evaluating potential contributions to open source software projects.

关键词： GitHub transparency open source social computing signaling theory social media contribution

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General regression in cloud computing

General regression in cloud computing

引用

ieee international conference on Intelligent Engineering Systems (INES)

作者： Martin Bobák Ladislav Hluchý Viet Tran Institute of Informatics of the Slovak Academy of Sciences Bratislava Slovakia

Regression is one of the approach/technology of machine learning. This technology is used in a situation where we want to estimate from input parameters the scalar quantity. In practice we often face with situation where due to deficient computing resources, we are not able to train required function (in sense the minimum error). This phenomenon can cause a various factors (e.g. large number of training data, high degree of training function ...). An interesting question is: how helpful is cloud computing in this situation.

关键词： Cloud computing Training Complexity theory Virtualization Mathematical model Linear regression Operating systems

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Cloud Modeling Languages by Example

Cloud Modeling Languages by Example

引用

ieee international conference on Service-Oriented computing and Applications (SOCA)

作者： Alexander Bergmayr Manuel Wimmer Gerti Kappel Michael Grossniklaus Business Informatics Group Vienna University of Technology Austria Department of Computer and Information Science University of Konstanz Germany

Recently, several proposals towards a cloud modeling language have emerged. As they address the diversity of cloud environments, it is not surprising that these modeling languages support different scenarios. Using a by-example approach based on the scenario of software migration, we demonstrate their representational capabilities and review them according to characteristics common to all modeling languages as well as specific to the cloud computing domain. We report on our findings and present research guidelines for future efforts towards a better alignment of the different cloud modeling languages.

关键词： Unified modeling language Computational modeling Syntactics Concrete Semantics Cloud computing

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Paramics-based PD-type iterative learning control for on-ramp metering

Paramics-based PD-type iterative learning control for on-ram...

引用

ieee international conference on Service Operations and Logistics, and informatics, SOLI

作者： H. Gao Y.-F. Zhao S.-S. Li Q.-J. Kong Chinese Academy of Sciences Dongguan Research Institute of CASIA Cloud Computing Center Haidian District Beijing China

In this work, we apply the PD-type iterative learning control method to address the traffic density control problem in a microscopic level freeway environment with ramp metering. Here the traffic density control problem is an output tracking problem with an appropriate tracking objective. In order to verify the effectiveness of proposed method, we perform comparison experiments on the microscopic traffic simulation platform Paramics, and PD-type iterative learning control exhibits an excellent control performance in the experiments.

关键词： Traffic control

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Performance analysis of topology based routing in a VANET

Performance analysis of topology based routing in a VANET

引用

international conference on Advances in computing, Communications and informatics (ICACCI)

作者： Raj Bala C. Rama Krishna Deptt. of Computer Science and Engg. NITTTR Chandigarh

Vehicular Ad Hoc Networks (VANET) is a variant of Mobile Ad Hoc Networks (MANET) in which communication nodes are mainly vehicles. VANETs are heterogeneous networks which provide wireless communication among vehicles and vehicle to Road Side Units (RSU). Now-a-days, it has become an interesting area of research as it is intended to improve Intelligent Transport System (ITS). To exploit effective communication among vehicles, routing is the key factor which needs to be investigated. This paper intends to analyze the performance of AODV routing protocol in a VANET in various scenarios under different traffic conditions with respect to Packet Delivery Ratio (PDR) and Average End-to-End Delay (E2ED). Simulation is performed using NS-2.35 in combination with VanetMobiSim. It has been found that AODV performs better in urban scenario than in highway scenario in terms of PDR and E2ED. It has also been found that the performance of AODV is improved by using ieee 802.11p instead of ieee 802.11.

关键词： Wireless communication Visualization ieee 802.11 Standards Vehicular ad hoc networks Vehicles Analytical models

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Adaptable Enterprise Architectures for Software Evolution of SmartLife Ecosystems

Adaptable Enterprise Architectures for Software Evolution of...

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international Workshop on Enterprise Distributed Object computing, EDOCW

作者： Alfred Zimmermann Bilal Gonen Rainer Schmidt Eman El-Sheikh Sikha Bagui Norman Wilde Faculty of Informatics Reutlingen University Reutlinaen Germany Department of Computer Science University of West Florida Pensacola FL USA Faculty of Informatics and Mathematics Munich University of Applied Sciences München Germany University of West Florida Pensacola FL US

SmartLife ecosystems are emerging as intelligent user-centered systems that will shape future trends in technology and communication. Biological metaphors of living adaptable ecosystems provide the logical foundation for self-optimizing and self-healing run-time environments for intelligent adaptable business services and related information systems with service-oriented enterprise architectures. The present research in progress work investigates mechanisms for adaptable enterprise architectures for the development of service-oriented ecosystems with integrated technologies like Semantic Technologies, Web Services, Cloud computing and Big Data Management. With a large and diverse set of ecosystem services with different owners, our scenario of service-based SmartLife ecosystems can pose challenges in their development, and more importantly, for maintenance and software evolution. Our research explores the use of knowledge modeling using ontologies and flexible metamodels for adaptable enterprise architectures to support program comprehension for software engineers during maintenance and evolution tasks of service-based applications. Our previous reference enterprise architecture model ESARC -- Enterprise Services Architecture Reference Cube -- and the Open Group SOA Ontology was extended to support agile semantic analysis, program comprehension and software evolution for a SmartLife applications scenario. The Semantic Browser is a semantic search tool that was developed to provide knowledge-enhanced investigation capabilities for service-oriented applications and their architectures.

关键词： Computer architecture Business Computational modeling Cloud computing Ontologies Service-oriented architecture Architecture

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A New Gradient-based Nonlinear Diffusion Method Applied to Image Denoising

A New Gradient-based Nonlinear Diffusion Method Applied to I...

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2014 ieee international conference on progress in informatics and computing

作者： Xiaobo Zhang Xiangchu Feng Institute of Graphics and Image Processing Xianyang Normal University Department of Mathematics Xidian University

This paper presents a new nonlinear diffusion method toaddress the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used toextract the gradientinformation accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared tothe related gradient domain algorithms.

关键词： image denoising local window diffusion function

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Research on Application of Kalman Filter toReduce Random Angle Error of Satcom Station

Research on Application of Kalman Filter toReduce Random Ang...

引用

2014 ieee international conference on progress in informatics and computing

作者： Chenchen Wang Hao Liu Weidong Yang China Satellite Maritime Tracking and Control Department

In order toreduce angle error of satcom station on the metrical vessel, Kalman filter is used tofilter angle-error signals in servosystem of satcom station in this paper. Angle-error signal is frequently corrupted by random noise. Kalman filter based on Singer model, which is a kind of linear minimum variance estimation, is a good tool for denoising the angle-error signal in servosystem. Experimental results on application display that Kalman filter can reduce random noise of the angle-error signal effectively and thus improving tracking precision of satcom station on the vessel.

关键词： Kalman filter angle error satcom station

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Towards A Hybrid Approach of Primitive Cognitive Network Process and Bayesian Network for Evaluation

Towards A Hybrid Approach of Primitive Cognitive Network Pro...

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2014 ieee international conference on progress in informatics and computing

作者： Tongjie Bian Kevin Kam Fung Yuen Department of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University

Evaluation is an essential step for decision making. This paper proposes a hybrid approach, named PCNP-BN, which combines the Primitive Cognitive Network Process(PCNP) and the Bayesian Network(BN) for evaluation activities. PCNP, which is an ideal alternative of the Analytic Hierarchy Process(AHP), helps toquantify the influence of factors, whilst Bayesian network is utilized tocombine all the useful feedbacks. The proposed approach can support evaluation activities through quantifying complex factors intomeasurable values.

关键词： bayesian network primitive cognitive network process evaluation decision making

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