Efficient Support of Big Data Storage Systems on the Cloud

Due to its advantages over traditional data centers, there has been a rapid growth in the usage of cloud infrastructures. These include public clouds (e.g., Amazon EC2), or private clouds, such as clouds deployed using OpenStack. A common factor in many of the well known infrastructures, for example...

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Bibliographic Details
Published inarXiv.org
Main Authors MS, Akshay, Mohan, Suhas, Kuri, Vincent, Sitaram, Dinkar, Phalachandra, H L
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 27.11.2014
Subjects
Big Data
Data centers
Data management
Data storage
Data systems
Storage systems
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Summary:Due to its advantages over traditional data centers, there has been a rapid growth in the usage of cloud infrastructures. These include public clouds (e.g., Amazon EC2), or private clouds, such as clouds deployed using OpenStack. A common factor in many of the well known infrastructures, for example OpenStack and CloudStack, is that networked storage is used for storage of persistent data. However, traditional Big Data systems, including Hadoop, store data in commodity local storage for reasons of high performance and low cost. We present an architecture for supporting Hadoop on Openstack using local storage. Subsequently, we use benchmarks on Openstack and Amazon to show that for supporting Hadoop, local storage has better performance and lower cost. We conclude that cloud systems should support local storage for persistent data (in addition to networked storage) so as to provide efficient support for Hadoop and other Big Data systems
ISSN:2331-8422