Issue Number: Vol. 2, No. 3
Year of Publication: Jul - 2012
Page Numbers: 457-463
Authors: Thamilvaani Arvaree Alvar, Rodziah Atan
Journal Name: International Journal of New Computer Architectures and their Applications (IJNCAA)
- Hong Kong


Cloud computing is one contemporary technology in which the research community has recently embarked. Cloud computing faces many of the challenges and difficulties. Meeting the user needs is the important issue in any business environment. The need for quality services that satisfies both customers and service providers is very essential. Lacking of guarantees for the customer to fully satisfy with the retrieved services from the service provider for the requested requirements has been identified as the major problem statement of this study. Clustering is one of the methods that widely used in data mining especially for information retrieval. Information retrieval is a process of group similar content or files together. There are different algorithms available to do the clustering such as partitioned clustering (K-means Clustering) and Hierarchical Clustering (Agglomerative Hierarchical Clustering (AHC)). Due to large amount of data efficient access and exploration of information retrieval is always critical. Most of the time, user will get a long list of documents which is partially match their requirements. While searching for services or access the service, there are many irrelevant documents returned with the relevant document which meets the requirements. Therefore, clustering will be used to overcome the above problem. This technique will implemented in an application to efficiently assess the correctness (fitness) of requirements measurement for the required services in cloud computing. The results or findings from the application will be the evidence to ensure meeting customer requirements more adequately while providing services. Reducing the inadequacy of meeting requirements will be the major contribution of this research with the support of the application.