Edge computing optimizes services for smart maintenance and remote support2023-04-28
The DRIVE sub-project 3 “Service optimization in federated edge platforms“ aims to design and develop artificial intelligence and machine learning based solutions to optimize the performance of augmented reality and virtual reality services on user-edge-cloud continuum platforms. With this in place, smart maintenance techniques providing remote service and assistance could run more smoothly.
Edge computing is the next generation of computing platforms to bring computing to where the data is created or required processing, instead of at its core, as is the case with cloud computing. Less network bandwidth is then being used, and the communication latency will be much lower, and significantly improve the performance of the desired service.
- Edge computing is one of the drivers for future industries and a fundamental component in 5G networks.Considering its unique characteristics to cover a wide range of use cases, multiple edge providers are expected to enter the market, says sub project leader Professor Javid Taheri.
The DRIVE sub-project 3 is about using artificial intelligence and machine learning approached to optimize the placement of services composed of different microservice components on federated edge-cloud platforms, so that the management and orchestration of those edge services will work in the most efficient way. In federated platforms, multiple edge providers will collaborate with each other to provide the best possible services to their covered use cases. This requires optimizing many parameters in such multi-owned platforms so that all providers satisfy their customers.
Practical real-life usage of edge computing could be found within a broad range of areas of society: for instance, within agriculture – augmented reality aided on-field support, healthcare – augmented reality aided medical treatment, and manufacturing – augmented reality aided smart maintenance. It could also connect desk-less workers to enterprise systems and provide remote artificial intelligence assistance, support and training.
Involved researchers are PhD student Mohammadsadeq Garshasbi Herabad, Professor Javid Taheri and Professor Bestoun S Ahmed Al-Beywanee from Karlstad university, and Dr. Calin Curescu from the DRIVE partner company Ericsson.