Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISCC.2014.6912631 | ISCC), 2014 IEEE Symposium |
Keywords | Field | DocType |
Big Data,cloud computing,distributed programming,middleware,public domain software,Big Data solutions,Hadoop configuration,MOM4C,MapReduce paradigm,cloud providers,data processing,message oriented middleware for cloud computing,open-source distributed computing system,resilient cloud systems,Big Data,Cloud Computing,HDFS,Hadoop,Resilient Cloud Storage | Data processing,Data-intensive computing,Computer science,Big data,Cloud testing,Computation,Message-oriented middleware,Cloud computing,Single-chip Cloud Computer,Distributed computing | Conference |
Volume | Citations | PageRank |
Workshops | 1 | 0.39 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Celesti | 1 | 2 | 0.75 |
| Maria Fazio | 2 | 1 | 0.39 |
| Antonio Puliafito | 3 | 1 | 0.39 |
| Massimo Villari | 4 | 1 | 0.39 |