Modelling Cloud Services for Big Data using

Abstract. This Paper presents various cloud services for Big Data by using Hadoop. Today we live in the digital world. With increased digitization the volume of structured and unstructured data being created and stored is exploding. The data is being generated from various sources- transactions, social media, sensors, digital images, audios and videos. In addition to business and organizations individuals contribute to the data volume. Big data applications assist you make sense of your data and discover critical insights that drive business elaborations. But with large volumes of data, a lack of expertise, and large beforehand investments, your project costs can fastly spiral out of control. Cloud computing is a recently developed new technology for complex systems with massive scale service splitting, which is different from the capital sharing of the grid computing networks. Cloud reliability analysis and modeling are not easy tasks because of the complexity and large scale of the system. Cloud computing has aroused wide research interests and has been accepted by industry. Services are playing the essential role in cloud computing as cloud computing refers to “both the applications delivered as services over the Internet and the hardware and systems software in the datacenters that provide those services”. Therefore, service-oriented architecture should play an important role in cloud computing. In addition, one of the characteristics of cloud computing is to make services available on demand. Given a group of services, different demands may involve different set of services and in different order. This is related to services reuse and composition