ENHANCING CLUSTERING OF CLOUD DATASETS USING IMPROVED AGGLOMERATIVE ALGORITHMS
Keywords:
- Cloud Computing, Clustering, Hierarchical Algorithm, Agglomerative Algorithm, Distributed Algorithm, Hadoop.Abstract
Cloud computing is the latest technology that delivers computing resources as a service such as
infrastructure, storage, application development platforms, software on Internet-based. Cloud computing is focus on
delivery reliable, secure, fault tolerant, sustainable and scalable infrastructures for hosting on Internet Based
application services. On basis of infrastructure service huge amount of data is stored in the cloud from distributed
nodes which needs retrieved very efficiently. In Cloud Computing using of Clustering Process from Heterogeneous
Network fetch the data. Hierarchical clustering is group data over a variety of scales by creating a cluster tree or
dendrogram. The retrieval of information from cloud takes a lot of time as the data is not stored in an organized way.
Data mining is thus important in cloud computing. So integrate data mining and cloud computing which will provide
agility and quick access to the technology. The integration should be so strong that it will be able to deal with
increasing production of data and will help in efficient mining of massive amount of data. In this dissertation work
we provide brief description about cloud computing and clustering techniques. This dissertation work proposes a
model that applies move traditional improved Agglomerative Hierarchical Clustering Algorithms on
Heterogeneous Network.
