Over the years, data generated by the social media is extremely large in volume. This large volume of data is known as big data. Several physical resources are required to store big data; in order to avoid, these cloud resources can be used. Cloud resources are provided by Amazon Web Services, OpenStack, Rackspace, and many more. Stored big data can be used for analysis of traffic management, call center optimization, real-time fraud detection, social media, and sentimental analysis. Solutions for analyzing big data on cloud are presently not available. Users must obtain the essential cloud computing resources and install the necessary software manually. This can be a cumbersome task for complex distributed services. To address this issue, the services should be viewed as a single application consisting of virtual machines. Users should no longer be concerned about individual machines or their internal organization. To overcome this problem, an OpenStack cloud system with multi-node setup to provide Hadoop as a service to the users has been implemented. Users can easily access the Hadoop service which is provided by OpenStack cloud environment.
CITATION STYLE
Kengond, S., Narayan, D. G., & Mulla, M. M. (2019). Hadoop as a Service in OpenStack. In Lecture Notes in Electrical Engineering (Vol. 545, pp. 223–233). Springer Verlag. https://doi.org/10.1007/978-981-13-5802-9_21
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