The increasing volume of personal and sensitive data being harvested by data controllers
makes it increasingly necessary to use the cloud not just to store the data, but also to …

The rapid development of cloud computing promotes a wide deployment of data and
computation outsourcing to cloud service providers by resource-limited entities. Based on a …

Rule-based scheduling algorithms have been widely used on many cloud computing
systems because they are simple and easy to implement. However, there is plenty of room to …

Face recognition has become increasingly popular in recent years. However, in some
special cases, many face recognition calculations cannot be performed effectively due to the …

Link prediction is an elemental challenge in network science, which has already found
applications in guiding laboratorial experiments, digging out drug targets, recommending …

Computation outsourcing to the cloud has become a popular application in the age of cloud
computing. This computing paradigm brings in some new security concerns and challenges …

Cloud computing moves the application software and databases to the centralized large
data centers, where the management of the data and services may not be fully trustworthy. In …

Energy-saving is extremely important in real-time embedded systems. Dynamic voltage
scaling (DVS) is one of the prime techniques used to achieve energy-saving. Due to the …

Cloud computing paradigm provides an alternative and economical service for resource-
constrained clients to perform large-scale data computation. Since large matrix determinant …

This book presents control and game-theoretic tools to design secure and resilient cyber-
physical systems, including cloud-enabled control systems, 3D printers, robotic systems, and …