The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Hierarchical Hadoop Framework to Handle Big Data in Geo-Distributed Computing Environments
|
|
Author(s): Orazio Tomarchio (Department of Electrical, Electronic and Computer Engineering, University of Catania, Catania, Italy), Giuseppe Di Modica (Department of Electrical, Electronic and Computer Engineering, University of Catania, Catania, Italy), Marco Cavallo (Department of Electrical, Electronic and Computer Engineering, University of Catania, Catania, Italy)and Carmelo Polito (University of Catania, Catania, Italy)
Copyright: 2021
Pages: 33
Source title:
Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-5339-8.ch031
Purchase
|
Abstract
Advances in the communication technologies, along with the birth of new communication paradigms leveraging on the power of the social, has fostered the production of huge amounts of data. Old-fashioned computing paradigms are unfit to handle the dimensions of the data daily produced by the countless, worldwide distributed sources of information. So far, the MapReduce has been able to keep the promise of speeding up the computation over Big Data within a cluster. This article focuses on scenarios of worldwide distributed Big Data. While stigmatizing the poor performance of the Hadoop framework when deployed in such scenarios, it proposes the definition of a Hierarchical Hadoop Framework (H2F) to cope with the issues arising when Big Data are scattered over geographically distant data centers. The article highlights the novelty introduced by the H2F with respect to other hierarchical approaches. Tests run on a software prototype are also reported to show the increase of performance that H2F is able to achieve in geographical scenarios over a plain Hadoop approach.
Related Content
|
Sushruta Mishra, Sunil Kumar Mohapatra, Brojo Kishore Mishra, Soumya Sahoo.
© 2021.
24 pages.
|
|
Carlos Santos, Helena Inácio, Rui Pedro Marques.
© 2021.
16 pages.
|
|
Akash Chowdhury, Swastik Mukherjee, Sourav Banerjee.
© 2021.
26 pages.
|
|
Stojan Kitanov, Toni Janevski.
© 2021.
28 pages.
|
|
Ramesh C. Poonia, Linesh Raja.
© 2021.
27 pages.
|
|
Jens Kohler, Thomas Specht.
© 2021.
27 pages.
|
|
Jagdish Chandra Patni.
© 2021.
15 pages.
|
|
|