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Advanced Resource Management with Access Control for Multitenant Hadoop
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- Authors
- Heesun Won, Minh Chau Nguyen, Myeong-Seon Gil, Yang-Sae Moon
- Issue Date
- 2015-12
- Citation
- Journal of Communications and Networks, v.17, no.6, pp.592-601
- ISSN
- 1229-2370
- Publisher
- 한국통신학회, IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- Multitenancy has gained growing importance with the development and evolution of cloud computing technology. In a multitenant environment, multiple tenants with different demands can share a variety of computing resources (e.g., CPU, memory, storage, network, and data) within a single system, while each tenant remains logically isolated. This useful multitenancy concept offers highly efficient, and cost-effective systems without wasting computing resources to enterprises requiring similar environments for data processing and management. In this paper, we propose a novel approach supporting multitenancy features for Apache Hadoop, a large scale distributed system commonly used for processing big data. We first analyze the Hadoop framework focusing on 쨩yet another resource negotiator (YARN)쨩, which is responsible for managing resources, application runtime, and access control in the latest version of Hadoop. We then define the problems for supporting multitenancy and formally derive the requirements to solve these problems. Based on these requirements, we design the details of multitenant Hadoop. We also present experimental results to validate the data access control and to evaluate the performance enhancement of multitenant Hadoop.
- KSP Keywords
- Apache Hadoop, Big Data, Computing resources, Data access control, Data processing, Distributed System(DS), Hadoop Framework, Large scale distributed system, Novel approach, Resource management, Single system