Pricing and Resource Allocation in Edge Computing

The emerging edge computing (EC) paradigm promises to deliver superior user experience and enable a wide range of Internet of Things (IoT) applications by bringing storage and computing facilities closer to the end users. Virtualization technologies such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) will allow sellers and buyers to access the open EC ecosystem. We envision the emergence of a novel EC marketplace where the telecom operator, such as Rogers Communications Canada, can act as a platform to facilitate the resource exchange among the sellers and buyers. This project aims to understand the tremendous potential of this new marketplace and propose efficient pricing and resource allocation mechanisms for the EC platform. We will investigate various design objectives ranging from fairness, privacy, truthfulness, social welfare maximization, to revenue maximization. The project will take both static and online settings into account to propose a set of novel algorithms tailored to provide win-win solutions for all stakeholders involved in the edge computing ecosystem.

Intern: 
Duong Tung Nguyen;Kevin Bradley D’Souza;Naga Raghavendra Surya Vara Prasad Koppisetti;Tongxin Shu
Faculty Supervisor: 
Vijay Bhargava
Province: 
British Columbia
Partner University: 
Program: