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ParCo 2017: Mini-symposium on Edge Computing

ORGANIZERS: Dimitrios Nikolopoulos and Christos Antonopoulos

The IoT and pervasive computing evolution pose sustainability challenges to the current Internet architecture. Presently, most of the processing and storage in the Internet is performed in the cloud, with massive data-centers that are located in remote locations and occupy an area of a few football fields, contain tens of thousands of servers, consume electricity of a small city and utilize expensive cooling mechanisms. Such data-centers will not be sufficient in the IoT era, as the number of smart connected devices and the data generated by them increase.

For one, tethering all the required bandwidth to transfer the data from the devices to a centralized data-center would be very costly. It is difficult to imagine how to transfer these data over the existing public networks without further substantial investments to expand them, which might take years to complete if at all technologically feasible. Response latency also becomes an issue, since many IoT applications, such as smart traffic control and accident avoidance, rely on high responsiveness to events.

It appears that it will become increasingly vital for the support of such applications to deploy small form factor, energy efficient mini data-centres near sources of Big Data to process and filter data locally rather than sending them to centralized cloud data-centres. Several industrial players have realized the challenges towards IoT and have recently introduced the term Edge or Fog computing, which is being promoted as a new technology that could complement cloud computing and bring cloud computing services closer to the rapidly growing number of user devices.

The minisymposium provides a forum to broadly explore the hardware and software implications of this decentralization trend of cloud computing. It aims to present original research on topics including (but not limited to):

  • Edge computing infrastructure architecture.
  • Energy efficiency of edge microservers.
  • Programmability issues for hierarchical cloud / edge / IoT-pervasive application deployments.
  • Availability, dependability, security and privacy issues on hierarchical cloud / edge / IoT-pervasive application deployments.
  • System software support for hierarchical cloud / edge deployments.
  • Edge computing applications and use-case studies.
  • Economics of edge computing applications and systems.

Important dates:

  • Jun 23, 2017: Submission deadline for extended abstracts
  • Jul 17, 2017: Notification of decision
  • Jul 30, 2017: Camera-ready of extended abstracts due
  • Sep 25th, 2017: Full paper submission
  • Oct 17th, 2017: Notification of full paper decision
  • Oct 27th, 2017: Full paper camera-ready due