Hadoop is widely used in many application scenarios, where a massive computation is required. The Hadoop framework is an open-source distributed computing system adopting the Map-Reduce paradigm for data processing, which is gaining more and more popularity. Indeed, recently, many Big Data solutions benefited from the Hadoop framework. One of the main issues in using Hadoop is related to its impossibility to dynamically scale and re-configure the environment, e.g, adding/removing nodes in a cluster for an efficient resource usage. This paper presents a new approach to dynamically setup Hadoop using a Message Oriented Middleware for Cloud computing (MOM4C), in order to make the system much more suitable to Cloud providers' requirements.
Automating the Hadoop configuration for easy setup in resilient cloud systems
CELESTI, ANTONIO;FAZIO, MARIA;PULIAFITO, Antonio;VILLARI, Massimo
2014-01-01
Abstract
Hadoop is widely used in many application scenarios, where a massive computation is required. The Hadoop framework is an open-source distributed computing system adopting the Map-Reduce paradigm for data processing, which is gaining more and more popularity. Indeed, recently, many Big Data solutions benefited from the Hadoop framework. One of the main issues in using Hadoop is related to its impossibility to dynamically scale and re-configure the environment, e.g, adding/removing nodes in a cluster for an efficient resource usage. This paper presents a new approach to dynamically setup Hadoop using a Message Oriented Middleware for Cloud computing (MOM4C), in order to make the system much more suitable to Cloud providers' requirements.Pubblicazioni consigliate
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