Mohit Taneja, an Experienced Software Research Engineer and Ph.D. Researcher at the Emerging Networks Lab at TSSG, Waterford Institute of Technology, has had a successful proposal as one of the 15 selected explorers in the 1st open call of NGI explorers program. He will now travel to Santa Clara University, California on a research expedition to further work on his accepted proposal. His project is based on efficient allocation of Fog Computing resources for the Internet of Things (IoT) Edge devices to meet the goals of latency, and to improve the Quality of Service of the IoT applications.
Next Generation Internet (NGI) is a concept that involves a broad spectrum of emerging technologies that will thoroughly reshape the Internet over the next 10-15 years, and Fog Computing is one of them. The NGI Explorers program is part of the strategic plan defined by the European Commission as part of the Next Generation Internet Initiative, and aims to launch Europe’s best Internet research talent into 3 or 6 month technology expeditions to the United States (US), catalyzing the impact of their disruptive ideas. The program brings a unique opportunity to connect with a global network of excellence, and help the researchers strengthen and articulate their ideas while building traction among the wider network of partners and customers.
The selection process consists of individual proposal submission, followed by an interview from US partners and the NGI consortium post-acceptance, and then the final feedback and approval from the team post-interview. The successful explorers would be hosted by US partners during their research expedition, with full team integration and support. Financially, travel and subsistence in the US is 100% sponsored through EU public grants.
More about the proposal:
At present, the IoT applications are hosted in the cloud and served from there. But with emerging scenarios such as smart mobility, smart health, smart home, etc. the communication delay from the cloud platform necessitates the need to use computing platforms closer to the edge devices. As more and more devices with computing capabilities become connected to the Internet, these devices can also potentially participate in hosting these applications. In essence, the computing resources are moving beyond the ‘cloud’ and into the ‘fog.’ This new paradigm shift can bring many advantages if used effectively, such as increased quality of service and improved data protection, to list a few.
However, the challenge here is to address the issue of efficiency in allocating computing resources of these devices. This is to serve and meet the demand of latency while hosting these applications, without compromising on the primary functionality of the edge devices. The accepted proposal aims to use artificial intelligence based techniques and multi-objective optimization methods to address that. Once validated and matured, this research will contribute to the realization of the vision of the next generation of the human-centric Internet.