Researching Apache Hama: A Pure BSP Computing Framework
- Authors
- Siddique, Kamran; Akhtar, Zahid; Kim, Yangwoo
- Issue Date
- 2016
- Publisher
- SPRINGER
- Keywords
- Apache hama; Bulk synchronous parallel; Bsp; Distributed computing; Hadoop; Mapreduce
- Citation
- ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING: FUTURETECH & MUE, v.393, pp 215 - 221
- Pages
- 7
- Indexed
- SCOPUS
- Journal Title
- ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING: FUTURETECH & MUE
- Volume
- 393
- Start Page
- 215
- End Page
- 221
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/18581
- DOI
- 10.1007/978-981-10-1536-6_29
- ISSN
- 1876-1100
1876-1119
- Abstract
- In recent years, the technological advancements have led to a deluge of data from distinctive domains and the need for development of solutions based on parallel and distributed computing has still long way to go. That is why, the research and development of massive computing frameworks is continuously growing. At this particular stage, highlighting a potential research area along with key insights could be an asset for researchers in the field. Therefore, this paper explores one of the emerging distributed computing frameworks, Apache Hama. It is a Top Level Project under the Apache Software Foundation, based on bulk synchronous parallel model. We present an unbiased and critical interrogation session about Apache Hama and conclude research directions in order to assist interested researchers.
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- Appears in
Collections - College of Engineering > Department of Information and Communication Engineering > 1. Journal Articles

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