A model of cloud services is emerging whereby a few trusted providers manage the
underlying hardware and communications whereas many companies build on this …

With the rapid increase in uptake of cloud services, issues of data management are
becoming increasingly prominent. There is a clear, outstanding need for the ability for …

With the development of computing and communication technologies, an extremely large
amount of data has been collected, stored, utilized, and shared, while new security and …

Big-data frameworks (eg, Spark) enable computations on tremendous data records
generated by third parties, causing various security and reliability problems such as …

Concern about data leakage is holding back more widespread adoption of cloud computing
by companies and public institutions alike. To address this, cloud tenants/applications are …

With the advancement of clean energy, natural gas (methane) in the proportion of energy
consumption increased year by year. Methane gas detection technology has become an …

We present a secure design for a map-reduce framework that guarantees preservation of
privacy of the original data. We use Hadoop as a typical environment for illustration. That is …

This chapter covers advanced techniques in Big Data analytics and query processing. As
the data is getting bigger and, at the same time, workloads and analytics are getting more …

Data curation and annotation are indispensable mechanisms to a wide range of applications
for capturing various types of metadata information. This metadata not only increases the …

This document presents the handbook of BigDataBench (Version 3.1). BigDataBench is an
open-source big data benchmark suite, publicly available from http://prof. ict. ac …