IT Professional plans a May/June 2019 special issue on edge computing.
Edge computing involves the monitoring and control of computing, data, and services at the application point, often in close contact with the physical world. This approach is different from a central processing model, where data is communicated via the Internet to a remote site for decision making and the results are transmitted back to the application point for reporting and event actuation. With edge computing, asset owners get near-instant insights, can take more timely action, and can avoid the costs and risks of sending data to the datacenter or cloud to process. This approach also helps avoid bottlenecks, improves response time, reduces bandwidth utilization, saves energy, and improves the user experience.
From the cloud point of view, the adoption of edge computing has led to the introduction of distributed architectures, transforming cloud computing to fog computing and enabling the transfer of cloud processing and storage. With the number of mobile devices having surpassed the number of desktop systems, mobile edge computing has appeared as a promising step toward computational ubiquity. Finally, in the Internet of Things (IoT) era, the adoption of socially inspired device collaboration has offered a framework for edge computing to be deployed in an efficient and effective way.
As a result, there is an increasing number of edge computing systems deployed in a wide range of application domains worldwide. Edge computing applications can be found in such domains as manufacturing, energy, connected health, agriculture, entertainment, utilities, environmental monitoring, and more.
The guest editors of this special issue aim to bring together the latest advances, experiences, findings, and developments related to IoT, sensing, and edge computing, and how these can be useful in virtually any application domain.
We invite novel, interesting, and diverse contributions relating to edge computing such as:
process monitoring and control
agricultural monitoring and control,
oil and gas exploration,
environmental and climate change monitoring,
tourism and cultural heritage preservation,
video analytics, and
Experience reports are particularly welcome. Additional topics for this special issue could focus on certain aspects of edge computing related to:
sensor and actuator management,
machine learning and machine intelligence,
big data and data analytics,
fog computing, and more.
All contributions must have specific emphasis on perspectives of interest to IT Professional’s readership, and contributors are urged to read the magazine’s aims and scopes prior to submitting a manuscript.
Only submissions that describe previously unpublished, original, state-of-the-art research and that are not currently under review by a conference or journal will be considered. Extended versions of conference papers must be at least 30 percent different from the original conference works.
All manuscripts must be submitted to ScholarOne Manuscripts (https://mc.manuscriptcentral.com/itpro-cs) by the deadline in order to be considered for publication. Submissions are subject to peer review on both technical merit and relevance to IT Pro’s readership.
Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts.
Please direct any correspondence before submission to the guest editors (listed below) at email@example.com: