Metadata as a service (MetaaS) model for cloud computing

Cloud computing has become the most attractive field in industry and research. Metadata as a Service (MetaaS) is an emerging technique that could help the cloud users, and cloud service providers (CSPs) according their needs. The increasing of the speed of searching and acquiring against the number of the data services in cloud computing that has leads the researchers to think about implementing a new technique. MetaaS model uses to serve as a backbone for providing and searching for data storage in cloud computing. MetaaS model consists of three main layers as Metadata component, cloud users and CSPs. The Metadata components consists of six main components as Metadata Entity (ME), Metadata File Information (MFI), Metadata Catalog Service (MCS), Metadata Management Engine (MME), Metadata Capturing (MC) and Metadata Analysis (MA). In this paper, an approach for enabling searching, storing, accessing, retrieving, and capturing the data from Cloud Data Storage (CDS) based on MetaaS model is presented. Taking the production of CDS service as example, this paper gives formal analysis of system running and compares with other related work. The results show that the model presents good reference on the construction of cloud computing applications and services according to the cloud services functionalities and MetaaS components

Assessment of Student Performance for Course Examination Using Rasch Measurement Model: A Case Study of Information Technology Fundamentals Course

This paper describes a measurement model that is used to measure the student performance in the final examination of Information Technology (IT) Fundamentals (IT280) course in the Information Technology (IT) Department, College of Computer & Information Sciences (CCIS), Al-Imam Mohammad Ibn Saud Islamic University (IMSIU). The assessment model is developed based on students mark entries of final exam results for the second year IT students, which are compiled and tabulated for evaluation using Rasch Measurement Model, and it can be used to measure the students performance towards the final examination of the course. A study on 150 second year students (male = 52; female = 98) was conducted to measure students knowledge and understanding for IT280 course according to the three level of Bloom’s Taxonomy. The results concluded that students can be categorized as poor (10%), moderate (42%), good (18%), and successful (24%) to achieve Level 3 of Bloom’s Taxonomy. This study shows that the students performance for the set of IT280 final exam questions was comparatively good. The result generated from this study can be used to guide us to determine the appropriate improvement of teaching method and the quality of question prepared