ABSTRACT
Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 10.4 Security and Privacy Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 10.5 Data Deduplication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250 10.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251
10.6.1 Fundamental Questions . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251 10.6.2 Practical Questions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252
BigData Storage in mobile embedded systems is a critical is-sue in increasing the performance of mobile apps. In the previous chapter, we introduced mobile cloud computing. It is no doubt that we are in big data era. Big data is a popular term use to describe massive data that are generated and growing by exponential order [146]. Big data brings a lot of benefits to us, but it brings about many challenges as well. Due to the amount of data, all the traditional methods of processing data in relational databases are much more inefficient than before. Furthermore, with the rapid popularity of mobile devices, the big data issues becomes more complicated [147, 148]. In this chapter, we will introduce mobile big data storage, and the main contents of this chapter include:
1. Overview of big data.
