Description

Iota related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud com-putting. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of Iota big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in Iota application is analyzed, moreover, the challenges and opportunities associated with IoTbig data research are identified. We also report a study of criticality application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed Iota related research framework. They introduced different frameworks for the storage, management and processing of big data that are scalable and portable with fault tolerance capabilities. Newer technologies for the analysis of such large amount data that is complex to handle are also introduced. These challenges include Privacy and Security, Scale, and Heterogeneity to mention a few. This paper reviews the Issues and Challenges of Big Data from Data Analytic andStoragePerspectives.