Model-Driven Approach to Hadoop Deployment in Cloud

被引：0
|
作者：
Chen, Zheyi [1 ]
Xiang, Tao [2 ]
Chen, Xing [2 ]
机构：
[1] Tsinghua Univ, TNLIST, Dept Comp Sci & Technol, Beijing, Peoples R China
[2] Fuzhou Univ, Coll Math & Comp Sci, Fujian Prov Key Lab Networking Comp & Intelligent, Fuzhou, Fujian, Peoples R China
来源：
2017 5TH IEEE INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD) | 2017年
关键词：
Hadoop deployment; software architecture; runtime model;
D O I：
10.1109/MobileCloud.2017.10
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Due to the diversification of software and hardware resources in cloud and ever-changing demand for deployment, Hadoop deployment is faced with great challenges in difficulty and complexity. Most of present researches lie in environment configuration and parameter setting of deployment, they do not take into account diversification of infrastructure and scalability issues in cloud. In order to quickly customize, deploy and expand Hadoop services according to the demand, a model-driven approach to Hadoop deployment is proposed in the paper. Firstly, Hadoop demand and deployment models are presented. Secondly, the transformation method from the demand model to the deployment model is proposed. Thirdly, the bidirectional synchronization between Hadoop deployment model and running system is realized based on runtime model.
引用
收藏
页码：145 / 148
页数：4
相关论文
共 50 条
  • [1] A Model-driven Approach to Automate the Deployment and Management of Cloud Services
    Bhattacharjee, Anirban
    Barve, Yogesh
    Gokhale, Aniruddha
    Kuroda, Takayuki
    [J]. 2018 IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING COMPANION (UCC COMPANION), 2018, : 109 - 114
  • [2] Cloud Standby Deployment: A Model-Driven Deployment Method for Disaster Recovery in the Cloud
    Lenk, Alexander
    [J]. 2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, 2015, : 933 - 940
  • [3] A Model-Driven Solution for Automatic Software Deployment in the Cloud
    Ribeiro, Franklin Magalhaes, Jr.
    da Rocha, Tarcisio
    Santos, Joanna C. S.
    Moreno, Edward David
    [J]. INFORMATION TECHNOLOGY: NEW GENERATIONS, 2016, 448 : 591 - 601
  • [4] A Model-Driven Deployment Approach for Scaling Distributed Software Architectures on a Cloud Computing Platform
    Vergara-Vargas, Jeisson
    Umana-Acosta, Henry
    [J]. PROCEEDINGS OF 2017 8TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2017), 2017, : 99 - 103
  • [5] A Model-driven Approach for Monitoring in Service Cloud
    Wang Zhuo-hao
    Wang Xi-Cheng
    Qi Kai-yuan
    Zhao Zhuo-feng
    [J]. MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2, 2011, 48-49 : 43 - +
  • [6] Model-driven Autoscaling for Hadoop clusters
    Gandhi, Anshul
    Dube, Parijat
    Kochut, Andrzej
    Zhang, Li
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING, 2015, : 155 - 156
  • [7] Model-Driven Security Policy Deployment: Property Oriented Approach
    Preda, Stere
    Cuppens-Boulahia, Nora
    Cuppens, Frederic
    Garcia-Alfaro, Joaquin
    Toutain, Laurent
    [J]. ENGINEERING SECURE SOFTWARE AND SYSTEMS, PROCEEDINGS, 2010, 5965 : 123 - 139
  • [8] A model-driven approach to reengineering processes in cloud computing
    Fahmideh, Mahdi
    Grundy, John
    Beydoun, Ghassan
    Zowghi, Didar
    Susilo, Willy
    Mougouei, Davoud
    [J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2022, 144
  • [9] A Model-Driven Approach to Continuous Delivery of Cloud Resources
    Sandobalin, Julio
    [J]. SERVICE-ORIENTED COMPUTING - ICSOC 2017 WORKSHOPS, 2018, 10797 : 346 - 351
  • [10] Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources
    Dubois, Daniel J.
    Trubiani, Catia
    Casale, Giuliano
    [J]. PROCEEDINGS OF 2016 IEEE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2016, : 335 - 342
12345