Anwesha Mukherjee (editor) - Mobile Edge Computing

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Mobile edge computing (MEC) provides cloud computing services at the edge of mobile network, which facilitates developers, service providers as well as users. For low latency and high bandwidth services, edge computingassisted IoT has become the pillar for the development of smart homes, smart health, smart traffic management, smart cities, etc. This book will discuss the overview of mobile edge computing along with its real time applications. The book is organized into three parts: Part I, Part II and Part III.

Part I contains seven chapters focusing on the architecture and working model of MEC. In chapter has illustrated a green-aware framework for MEC to address the energy-related challenges and provides a generic model formulation for the green MEC. Few state-of-the-art workloads offloading approaches to achieve green IoT have also been discussed and compared in comprehensive perspectives. Few future research directions related to energy efficiency in MEC have been also explored in this chapter.

Part II contains eight chapters focusing on the systems, platforms, services and issues of MEC. In chapter , the authors have outlined some of the characteristics relevant for evaluating collaborative intrusion detection systems (CIDS) deployment models and surveyed existing CIDS architectures in the context of MEC.

Part III contains seven chapters illustrating various applications of MEC. In chapter the simulation of fog computing applications has been demonstrated.