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Feedback-Based Resource Allocation in MapReduce-Based Systems
Joint Authors
Pérez-Hernández, María S.
Memishi, Bunjamin
Antoniu, Gabriel
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Containers are considered an optimized fine-grain alternative to virtual machines in cloud-based systems.
Some of the approaches which have adopted the use of containers are the MapReduce frameworks.
This paper makes an analysis of the use of containers in MapReduce-based systems, concluding that the resource utilization of these systems in terms of containers is suboptimal.
In order to solve this, the paper describes AdaptCont, a proposal for optimizing the containers allocation in MapReduce systems.
AdaptCont is based on the foundations of feedback systems.
Two different selection approaches, Dynamic AdaptCont and Pool AdaptCont, are defined.
Whereas Dynamic AdaptCont calculates the exact amount of resources per each container, Pool AdaptCont chooses a predefined container from a pool of available configurations.
AdaptCont is evaluated for a particular case, the application master container of Hadoop YARN.
As we can see in the evaluation, AdaptCont behaves much better than the default resource allocation mechanism of Hadoop YARN.
American Psychological Association (APA)
Memishi, Bunjamin& Pérez-Hernández, María S.& Antoniu, Gabriel. 2016. Feedback-Based Resource Allocation in MapReduce-Based Systems. Scientific Programming،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118363
Modern Language Association (MLA)
Memishi, Bunjamin…[et al.]. Feedback-Based Resource Allocation in MapReduce-Based Systems. Scientific Programming No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1118363
American Medical Association (AMA)
Memishi, Bunjamin& Pérez-Hernández, María S.& Antoniu, Gabriel. Feedback-Based Resource Allocation in MapReduce-Based Systems. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118363
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118363