With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
W Shi, J Cao, Q Zhang, Y Li, L Xu - IEEE internet of things …, 2016 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for …
The proliferation of the Internet of Things and the success of rich cloud services have pushed the horizon of a new computing paradigm, Edge computing, which calls for …
The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than …
Edge computing is a distributed computing paradigm such that client data are processed at the periphery of the network, as close as possible to the originating source. Since the 21st …
Edge Computing refers to a broad set of techniques designed to move computing and storage out of the remote cloud (public or private) and closer to the source of data. For the …
J Pan, J McElhannon - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
The Internet is evolving rapidly toward the future Internet of Things (IoT) which will potentially connect billions or even trillions of edge devices which could generate huge amount of data …
N Abbas, Y Zhang, A Taherkordi… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emergent architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge …
J Ren, D Zhang, S He, Y Zhang, T Li - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Sending data to the cloud for analysis was a prominent trend during the past decades, driving cloud computing as a dominant computing paradigm. However, the dramatically …