The Internet of Things (IoT) is a networking paradigm where interconnected, smart objects
continuously generate data and transmit it over the Internet. Much of the IoT initiatives are …

Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

Rising energy costs in large data centers are driving an agenda for energy-efficient
computing. In this paper, we focus on the role of database software in affecting, and …

In a cloud computing environment, resources are shared among different clients. Intelligently
managing and allocating resources among various clients is important for system providers …

As big data becomes the norm of various industrial applications, the complexity of database
workloads and database system design has increased significantly. To address these …

The biggest change in the TPC benchmarks in over two decades is now well underway–
namely the addition of an energy efficiency metric along with traditional performance …

In this paper, an application of range image analysis in the area of face recognition is
described. The process from image acquisition to recognition is presented in detail. Range …

Modern embedded systems execute multiple applications, both sequentially and
concurrently. These applications are exercised on heterogeneous platforms generating …

Traditional database systems result in high energy consumption and low energy efficiency
due to the lack of consideration of energy issues and environmental adaptation in the design …

Energy is a growing component of the operational cost for many" big data" deployments, and
hence has become increasingly important for practitioners of large-scale data analysis who …