The unprecedent growth of data produced by IoT devices and the increased need of processing it close to its origin is fuelling the demand of edge computing solutions. Current approaches are not sufficient to address this forthcoming massive usage of edge computing, especially in the frame of large IoT deployments in smart cities and industrial applications.
Pledger delivers a new architectural paradigm and a toolset that paves the way for this next generation of edge computing infrastructures, tackling the modern challenges faced today and coupling the benefits of low latencies on the edge, with the robustness and resilience of cloud infrastructures. The toolset delivered enables:
• Edge Computing Providers to enhance the stability and performance effectiveness of their edge infrastructures through modelling the overheads and optimal groupings of concurrently running services, runtime analysis and adaptation, thus gaining a competitive advantage.
• Edge Computing Adopters to understand the computational nature of their applications, investigate abstracted and understandable QoS metrics, facilitate trust and smart contracting over their infrastructures and identify how they can balance their cost and performance to optimise their competitiveness and monitor their SLAs.
• Third parties to act as independent validators of QoS features in IoT applications, enabling new decentralised applications and business models, thus filling a large gap in the emerging edge/IoT market landscape.