NDLI: Towards Model Based Approach to Hadoop Deployment and Configuration

Content Provider	IEEE Xplore Digital Library
Author	Yicheng Huang Xingtu Lan Xing Chen Wenzhong Guo
Copyright Year	2015
Description	Author affiliation: Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China (Yicheng Huang; Xingtu Lan; Xing Chen; Wenzhong Guo)
Abstract	Hadoop is an open source software framework of distributed processing of big data. There are many kinds of services in Hadoop ecosystem, such as HDFS, Map-Reduce, HBase, Hive, Yarn, Flume, Spark, Storm, Zookeeper, and so on, which increase the complexity of deployment and configuration. It takes plenty of time to construct a Hadoop cluster. Although there are some management tools which help administrators deploy and configure Hadoop clusters automatically, they usually provide a fixed solution. So administrators couldn't construct their Hadoop clusters according to different management requirements by the tools. Software architecture acts as a bridge between requirements and implementations. It has been used to reduce the complexity and cost mainly resulted from the difficulties faced by understanding the large-scale and complex software system. This paper proposes a model based approach to Hadoop deployment and configuration which help administrators construct Hadoop clusters in a simple but powerful enough manner. First, we provide the unified models of Hadoop software architecture, according to the domain knowledge of current Hadoop deployment and configuration. Second, we provide a framework with a set of definable rules for domain experts to describe their solutions to deploy and configure Hadoop clusters. Thus, administrators can use various custom solutions to automatically deploy and configure their Hadoop clusters according to different management requirements. In addition, a real-world experiment demonstrates the feasibility, effectiveness and benefits of the new approach to Hadoop deployment and configuration.
Starting Page	79
Ending Page	84
File Size	391738
Page Count	6
File Format	PDF
ISBN	9781467393713
e-ISBN	9781467393720
DOI	10.1109/WISA.2015.65
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Runtime Software architecture Storms Hadoop Deployment and Configuration Software Architecture Big data Complexity theory Sparks Models at Runtime Yarn
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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