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Challenges For Mapreduce In Big Data, Katarina Grolinger, Michael Hayes, Wilson Higashino, Alexandra L'Heureux, David Allison, Miriam Capretz
Challenges For Mapreduce In Big Data, Katarina Grolinger, Michael Hayes, Wilson Higashino, Alexandra L'Heureux, David Allison, Miriam Capretz
Wilson A Higashino
In the Big Data community, MapReduce has been seen as one of the key enabling approaches for meeting continuously increasing demands on computing resources imposed by massive data sets. The reason for this is the high scalability of the MapReduce paradigm which allows for massively parallel and distributed execution over a large number of computing nodes. This paper identifies MapReduce issues and challenges in handling Big Data with the objective of providing an overview of the field, facilitating better planning and management of Big Data projects, and identifying opportunities for future research in this field. The identified challenges are grouped …
Privacy Issues Of Applying Rfid In Retail Industry, Haifei Li, Patrick C.K. Hung, Jia Zhang, David Ahn
Privacy Issues Of Applying Rfid In Retail Industry, Haifei Li, Patrick C.K. Hung, Jia Zhang, David Ahn
Jia Zhang
This case study describes the privacy issues of applying Radio Frequency Identification (RFID) in the retail industry. With the dramatic price drop of RFID tags, it is possible that RFID be applied to individual items sold by a retailer. However, the RFID technology poses critical privacy challenges. In this study, we analyze the potential privacy issue of RFID utilization, and we propose a privacy authorization model aiming for precisely defining RFID privacy policies for the retail industry.