Edge computing has emerged as a solution to address existing limitations of cloud
computing for bandwidth-heavy and time-sensitive applications, by moving (some) …

Edge computing aims at addressing some limitations of cloud computing by bringing
computation towards the edge of the system, ie, closer to the client. There is a panoply of …

Pure Edge Computing relies on peer-to-peer overlay networks to realize the communication
backbone between participating entities. In these settings, entities are characterized by high …

Efficient and secure device to device communication is a necessary enabler for realization of
fog and edge computing models. With an ever-increasing number, diversity, and …

Edge Computing pushes cloud capabilities to the edge of the network, closer to the users, to
address stringent Quality-of-Service requirements and ensure more efficient bandwidth …

The rise of edge computing as a new storage and compute model has already motivated
numerous studies within the systems community, focusing on the choices and mechanisms …

Current cloud computing infrastructures and their management are highly centralized, and
therefore they suffer from limitations in terms of network latency, energy consumption, and …

Internet-of-Things (IoT) devices often rely on cloud services for computations and data
management. As the number of IoT devices is growing fast, the Internet connection to the …

In recent years, the rapid growth of IoT devices has posed challenges for traditional cloud
computing architectures due to issues related to latency, bandwidth, and real-time response …

Edge computing has emerged as a distributed computing paradigm to overcome practical
scalability limits of cloud computing. The main principle of edge computing is to leverage on …