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Assessment, Design and Implementation of a Private Cloud for MapReduce Applications

M. Salgueiro, P. González, T. F. Pena, J. C. Cabaleiro
2014 OALib  
This paper explores the potential symbiosis between MapReduce and Cloud Computing, in order to create a robust and scalable environment to execute MapReduce workflows regardless of the underlaying infrastructure  ...  On the other hand, Cloud computing seems to be increasingly attractive in solving these computing problems that demand a lot of resources.  ...  on Amazon's installation-with Resilin [9] , Sahara [10] or Dynamic MapReduce [11] , or by reusing its cloud interface to build a MapReduce platform upon like with Cloud MapReduce [12] .  ... 
doi:10.4236/oalib.1100526 fatcat:kdjdiqq6n5blhhqlhqkgrl37pi

DIVE-C: Distributed-parallel Virtual Environment on Cloud Computing Platform

In-Yong Jung, Byong-John Han, Hanku Lee, Chang-Sung Jeong
2013 International Journal of Multimedia and Ubiquitous Engineering  
In this paper, we present a new architecture of DIVE-C: DIstributed-parallel Virtual Environment on Cloud computing platform for distributed parallel data processing applications which offers a transparent  ...  We implemented a prototype of DIVE-C, and its experiment results show the competitive performance of DIVE-C for dynamic resource and virtual computing environment provisioning for various data processing  ...  There are a number of open projects to support automated deployment of mapreduce application on VMs such as Appscale [8] and Apache Wirr [9] .  ... 
doi:10.14257/ijmue.2013.8.5.03 fatcat:aeogv45q2rf7zngpdgpyea3hwe

Guest editorial: automated techniques for migrating to the Cloud (I)

Ching-Hsien Hsu, John Grundy
2014 Automated Software Engineering : An International Journal  
Cloud architectures With the recent paradigm shift of cloud computing, deployment of operating systems (OSs) onto a large-scale computer network is becoming necessary.  ...  Introduction The ever-growing popularity of cloud computing platforms provides hybrid architectures and dynamic intelligence for tomorrow's complex software applications.  ... 
doi:10.1007/s10515-014-0153-3 fatcat:saf63fbaefaivlnugk62wudwqe

Guest editorial: automated techniques for migrating to the cloud (II)

Ching-Hsien Hsu, John Grundy
2014 Automated Software Engineering : An International Journal  
Cloud architectures With the recent paradigm shift of cloud computing, deployment of operating systems (OSs) onto a large-scale computer network is becoming necessary.  ...  Introduction The ever-growing popularity of cloud computing platforms provides hybrid architectures and dynamic intelligence for tomorrow's complex software applications.  ... 
doi:10.1007/s10515-014-0159-x fatcat:dyr7c2dnora4bgdt2ninnk4kgi

Efficient and Parallel Data Processing and Resource Allocation in the Cloud by using Nephele's Data Processing Framework

V. Saranya, S. Ramya, R.G. Suresh Kumar, T. Nalini
2016 International Journal of Grid and Distributed Computing  
In this paper, we introduced Nephele, a data processing framework to exploit dynamic resource provisioning offered by IaaS clouds.  ...  Cloud computing is a technology in which the Cloud Service Providers (CSP) provide many virtual servers to the users to store their information in the cloud.  ...  Acknowledgements We are grateful and thankful to the CARD research system of our college.  ... 
doi:10.14257/ijgdc.2016.9.3.05 fatcat:2o72jgi42feqpn4lvavockif5e

Cloud-Based Information Technology Framework for Data Driven Intelligent Transportation Systems

Arshdeep Bahga, Vijay K. Madisetti
2013 Journal of Transportation Technologies  
This paper describes the architecture, design, and implementation of CloudTrack, and how the proposed cloud-based IT framework leverages the parallel computing capability of a computing cloud based on  ...  A dynamic vehicle routing approach is adopted where the alerts trigger the generation of new routes.  ...  Figure 2 shows a cloud deployment architecture used in our proposed framework.  ... 
doi:10.4236/jtts.2013.32013 fatcat:kg4skrndljgsnmzq47vfhkko24

An Elastic Middleware Platform for Concurrent and Distributed Cloud and MapReduce Simulations [article]

Pradeeban Kathiravelu
2016 arXiv   pre-print
Then, it also provides a quick assessment to MapReduce implementations of Hazelcast and Infinispan, adaptively distributing the execution to a cluster, providing means of simulating MapReduce executions  ...  The dynamic scaler solution scales out the cloud and MapReduce simulations to multiple nodes running Hazelcast and Infinispan, based on load.  ...  Figure 3 .8 depicts a layered architecture overview of Cloud 2 Sim, hiding the fine architectural details of CloudSim.  ... 
arXiv:1601.03980v1 fatcat:zvwhhhha4fbv3akgqru4wmjdfy

Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications

Anirban Mandal, Yufeng Xin, Ilia Baldine, Paul Ruth, Chris Heerman, Jeff Chase, Victor Orlikowski, Aydan Yumerefendi
2011 2011 IEEE Third International Conference on Cloud Computing Technology and Science  
This paper presents the design, implementation, and evaluation of a new system for on-demand provisioning of Hadoop clusters across multiple cloud domains.  ...  The prototype uses an existing federated cloud control framework called Open Resource Control Architecture (ORCA), which orchestrates the leasing and configuration of virtual infrastructure from multiple  ...  PROTOTYPE IMPLEMENTATION We implemented on-demand provisioning and deployment of a Hadoop cluster on networked clouds using ORCA.  ... 
doi:10.1109/cloudcom.2011.107 dblp:conf/cloudcom/MandalXBRHCOY11 fatcat:knqkz634tjbgnkawpv5clcfltq

MapReduce Implementation Based on vStarCloud

Lei Zhu, Zuo-Ning Chen, Hong-Wu Yin
2013 Journal of Advances in Computer Networks  
This paper introduces a method of the deployment and implementation of MapReduce application based on vStarCloud, and the feasibility of vStarCloud will be verified by experiment.  ...  Therefore, the vStarCloud is proposed, which is a cloud computing operating system architecture based on the idea of distributing and layering.  ...  There are a lot of architectures and methods of cloud computing, but none of them bring cloud facilities into a unified, scalable, self-management, and reliable computing architecture [1] - [3] .  ... 
doi:10.7763/jacn.2013.v1.33 fatcat:z25ah5hcazeqnluf3dxmdxaumy

CloudDOE: A User-Friendly Tool for Deploying Hadoop Clouds and Analyzing High-Throughput Sequencing Data with MapReduce

Wei-Chun Chung, Chien-Chih Chen, Jan-Ming Ho, Chung-Yen Lin, Wen-Lian Hsu, Yu-Chun Wang, D. T. Lee, Feipei Lai, Chih-Wei Huang, Yu-Jung Chang, Christophe Antoniewski
2014 PLoS ONE  
Conclusions: CloudDOE is a user-friendly tool for deploying a Hadoop cloud. Its smart wizards substantially reduce the complexity and costs of deployment, execution, enhancement, and management.  ...  One may also use CloudDOE on top of a public cloud. CloudDOE consists of three wizards, i.e., Deploy, Operate, and Extend wizards.  ...  Nien-Chen Liu from Microsoft Co. on World Cloud Research Collaboration Projects for helping this research through the project to Chung-Yen Lin. Author Contributions  ... 
doi:10.1371/journal.pone.0098146 pmid:24897343 pmcid:PMC4045712 fatcat:mg255d6oxbcwfijsccwkqowgha

CodeCloud: A platform to enable execution of programming models on the Clouds

Miguel Caballer, Carlos de Alfonso, Germán Moltó, Eloy Romero, Ignacio Blanquer, Andrés García
2014 Journal of Systems and Software  
This paper presents a platform that supports the execution of scientific applications covering different programming models (such as Master/Slave, Parallel/MPI, MapReduce and Workflows) on Cloud infrastructures  ...  the logic of the different programming models; iii) an infrastructure manager to interact with different IaaS backends; iv) a configuration software to dynamically configure the provisioned resources  ...  de aplicaciones virtualizadas para dar soporte a modelos de programación en entornos cloud", with reference TIN2010-17804.  ... 
doi:10.1016/j.jss.2014.02.005 fatcat:xj7vr4jjbjcwzgmojxtn2da7wy

Aneka Cloud Application Platform and Its Integration with Windows Azure [chapter]

Yi Wei, Karthik Sukumar, Christian Vecchiola, Dileban Karunamoorthy, Rajkumar Buyya
2011 Cloud Computing  
Aneka is an Application Platform-as-a-Service (Aneka PaaS) for Cloud Computing. It acts as a framework for building customized applications and deploying them on either public or private Clouds.  ...  ACKNOWLEDGEMENT This work is partially supported by a grant from the Australian Department of Innovation, Industry, Science and Research via its COMET (Commercialising Emerging Technologies) Program.  ...  Thus it makes sense to dynamically add instances to a deployment at runtime according to the load and requirement of the application.  ... 
doi:10.1201/b11149-31 fatcat:4xwvkgtwtvh6bbvy5saip2b5by

PER-MARE: Adaptive Deployment of MapReduce over Pervasive Grids

Luiz Angelo Steffenel, Olivier Flauzac, Andrea Schwertner Charao, Patricia Pitthan Barcelos, Benhur Stein, Sergio Nesmachnow, Manuele Kirsch Pinheiro, Daniel Diaz
2013 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing  
MapReduce is a parallel programming paradigm successfully used to perform computations on massive amounts of data, being widely deployed on clusters, grid, and cloud infrastructures.  ...  By relying on the MapReduce programming model, PER-MARE proposes to explore the potential advantages of using free unused resources available at enterprises as pervasive grids, alone or in a hybrid environment  ...  a cloud to be deployed.  ... 
doi:10.1109/3pgcic.2013.10 dblp:conf/3pgcic/SteffenelFCBSNKD13 fatcat:rofmvzbtozcwboeriflxd6vo4q

A FIRM Approach to Software-Defined Service Composition [article]

Pradeeban Kathiravelu and Tihana Galinac Grbac and Luís Veiga
2016 arXiv   pre-print
While Service Oriented Architecture (SOA) has been a forefront of service composition, services can be realized as efficient distributed and parallel constructs such as MapReduce, which are not typically  ...  This paper presents FIRM, an approach for Software-Defined Service Composition by leveraging SDN and MapReduce.  ...  Acknowledgements: The work presented in this paper is supported by COST action 1304 Autonomous Control for a Reliable Internet of Services (ACROSS).  ... 
arXiv:1601.02131v1 fatcat:ncb32bv2trc4hfmapghof5v4mq

TomusBlobs: scalable data-intensive processing on Azure clouds

Alexandru Costan, Radu Tudoran, Gabriel Antoniu, Goetz Brasche
2013 Concurrency and Computation  
dynamically.  ...  It is a MapReduce runtime designed on top of the Microsoft Azure PaaS cloud abstractions.  ... 
doi:10.1002/cpe.3034 fatcat:odwrhgovxvc5xayi4tzdfw2vay
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