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@ARTICLE{,
    author = {Rizzo, Gianluca},
  keywords = {Mobile Edge Computing, Virtual Edge},
     month = may,
     title = {V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing},
   journal = {IEEE Network},
    volume = {special Issue 2205/Managing Next-Gen Networks},
      year = {2022},
  abstract = {As we move from 5G to 6G, edge computing is
one of the concepts that needs revisiting. Its core idea is still
intriguing: Instead of sending all data and tasks from an end user’s
device to the cloud, possibly covering thousands of kilometers and
introducing delays lower-bounded by propagation speed, edge
servers deployed in close proximity to the user, e.g., at some
base station, serve as proxy for the cloud. This is particularly
interesting for upcoming machine learning (ML)-based intelligent
services, which require substantial computational and networking
performance for continuous model training. Yet this promising
idea is hampered by the limited number of such edge servers. In
this position paper, we discuss a way forward, namely the virtual
edge computing (V-Edge) concept. V-Edge helps bridging the gap
between cloud, edge, and fog by virtualizing all available resources
including the end users’ devices and making these resources widely
available. Thus, V-Edge acts as an enabler for novel microservices
as well as cooperative computing solutions in next-generation
networks. We introduce the general V-Edge architecture and we
characterize some of the key research challenges to overcome in
order to enable wide-spread and intelligent edge services.}
}