The present article discusses the measurement of social class in the social psychology of education research. It was evident that social class experiences are conflated with the socioeconomic status indicators and the subjective measure of the class context was underrepresented. However, this was discussed in Rubin et al about the intersectional nature of social class taking into account both objective and subjective indicators. The derivation of the social class experience from the objective and subjective measures were critically discussed. An effort (...) was made to understand whether these translations are category mistake or not. Three trajectories will be utilized to address the category mistake, that is, 1) subjectivity and objectivity debate in the measurement of social class in social psychology of education, 2) debates encircling around the position of social psychology and its underutilized concept such as social class as scientifically objective facets in social sciences and 3) operationalism of social class and category mistake. (shrink)

According to the forecast that billions of devices will get connected to the Internet by 2020. All these devices will produce a huge amount of data that will have to be handled rapidly and in a feasible manner. It will become a challenge for real-time applications to handle this huge data while considering security issues as well as time constraints. The main highlights of cloud computing are on-demand service and scalability; therefore the data generated from IoT devices are generally handled (...) in cloud infrastructure. Though, dealing with IoT application requests on the cloud exclusively is not a proficient result for some IoT applications particularly time-sensitive ones. These issues can be settled by utilizing another idea called, Fog computing. Fog computing has become one of the major fields of research from both academia and industry perspectives. The ongoing research commitments on few issues in fog computing are figuring out in this paper. At long last, this paper also highlights some open issues in fog with IoT, which will determine the future research direction for implementing Fog computing paradigm. (shrink)