
Fog computing provides a conceptual approach for virtualizing and orchestrating computing, networking, and storage resources to process data. This issue helps toprogress the fog computing research field and offer solutions. It is clear that we are still in the formative phase of fog computing, and only the future will reveal which parts of the (sometimes competing) visions, solution proposals, and application areas will prove to be of most value to society and industry. However, as the four papers in this special issue show, the opportunities, as well as the challenges, are manifold. Some of these challenges can be addressed by adapting solutions that have proven their value before, such as the contributions on load balancing, scheduling, and NFV in this special issue.
1712 Software, 10009 Department of Informatics, 1705 Computer Networks and Communications, cloud computing, 1706 Computer Science Applications, Software-as-a-Service (SaaS), 000 Computer science, knowledge & systems, fog computing, 1701 Computer Science (miscellaneous), Internet of Things (IoT)
1712 Software, 10009 Department of Informatics, 1705 Computer Networks and Communications, cloud computing, 1706 Computer Science Applications, Software-as-a-Service (SaaS), 000 Computer science, knowledge & systems, fog computing, 1701 Computer Science (miscellaneous), Internet of Things (IoT)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
