E-CARGO and Role-Based Collaboration

Abstract

Role-Based Collaboration (RBC) has emerged into an investigative methodology from a computational methodology with continuous research effort in the past decade. RBC uses roles as the primary underlying mechanism to facilitate collaboration activities. It consists of a set of concepts, principles, models, and algorithms. RBC imposes challenges and benefits not discovered in traditional methodologies and systems. RBC and the Environments - Classes, Agents, Roles, Groups, and Objects (E-CARGO) model have been investigated for over 18 years and have established a solid foundation for further research and investigation. Related research has brought and will bring exciting improvements to the development, evaluation, management, and execution of computer-based systems including services, clouds, productions, and administration systems. RBC and E-CARGO grow gradually into a strong fundamental methodology and model for exploring solutions to problems of complex systems including Collective Intelligence, Sensor Networking, Scheduling, Smart Cities, Internet of Things, Intelligent Transportation Systems, Cyber-Physical Systems, Social Networking, and Social Simulation Systems. In this keynote, we examine the requirement of research on collaboration systems and technologies, discuss RBC and its model E-CARGO; review the related research achievements on RBC and E-CARGO in the past years; discuss those problems that have not yet been solved satisfactorily; present the fundamental methods to conduct research related to RBC and E-CRAGO and discover related problems; and analyze their connections with other cuttingedge fields.