As architecture, systems, and data management communities pay greater attention to
innovative big data systems and architecture, the pressure of benchmarking and evaluating …

Summary The Internet of Things (IoT) is an emerging technology paradigm where millions of
sensors and actuators help monitor and manage physical, environmental, and human …

Information flow policies are confidentiality policies that control information leakage through
program execution. A common way to enforce secure information flow is through information …

This paper presents MobiMix, a road network based mix-zone framework to protect location
privacy of mobile users traveling on road networks. In contrast to spatial cloaking based …

Apache Spark is an open source distributed data processing platform, which can use
distributed memory abstraction to process large volume of data efficiently. With the …

The recently released SPEC CPU2017 benchmark suite has already started receiving a lot
of attention from both industry and academic communities. However, due to the significantly …

We propose a novel edit distance-tolerant content addressable memory (EDAM) for energy-
efficient approximate search applications. Unlike state-of-the-art approximate search …

While big data is becoming ubiquitous, interest in handling data stream at scale is also
gaining popularity, which leads to the sprout of many distributed stream computing systems …

As the amount of data explodes rapidly, more and more corporations are using data centers
to make effective decisions and gain a competitive edge. Data analysis applications play a …

Data generation is a key issue in big data benchmarking that aims to generate application-
specific data sets to meet the 4 V requirements of big data. Specifically, big data generators …