Big data is currently one of the most critical emerging technologies. Big Data are used as a
concept that refers to the inability of traditional data architectures to efficiently handle the …

With the development of information technologies, we have entered the era of Big Data.
Google's MapReduce programming model and its open-source implementation in Apache …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and
Hadoop environment. The main focus is on security issues in cloud computing that are …

Mining of opinions from product reviews, forum posts and blogs is an important research
topic with many applications. However, existing research has been focused on extraction …

We consider the verification of a particular class of infinite-state systems, namely systems
consisting of finite-state processes that communicate via unbounded lossy FIFO channels …

This paper describes our rewrite of Phoenix, a MapReduce framework for shared-memory
CMPs and SMPs. Despite successfully demonstrating the applicability of a MapReduce-style …

This paper proposed a method of integrating the AES encrypter and the AES decrypter into a
full functional AES crypto-engine. This method can make it a very low-complexity …

The process of evaluating data using analytical and logical reasoning to examine each
component of the data provided. This form of analysis is just one of the many steps that must …

This paper considers discovering frequent itemsets in transactional databases and
addresses the time complexity problem by using high performance computing (HPC). Three …